What is your favorite MOOC provider – edX vs Coursera? edX and Coursera are both great options for online courses, but there are some key differences between the two. Coursera provides a more social experience with quizzes and discussion forums, while edX offers a more academically focused approach.

When it comes to the debate of Coursera vs. edX, you’ll have lots of factors to take into consideration. 

Which online learning platform will provide you with a verified certificate or opportunities for professional development? Which courses require the most time commitment? Which online learning platform has the widest selection of courses and quality of content to help you meet your unique learning goals?

If you’re stuck between these two MOOC platforms, consider our comprehensive review and in-depth comparison to help you decide. 

Related reading: edX Review – Are edX Courses Worth It?

edX vs Coursera Ease of Use

Founded in 2012, edX was created by Harvard and MIT scientists who then partnered with more than 100 different renowned universities to offer both paid and free courses. It is one of the best platforms for course completion certificate programs and full degrees in a variety of topics. As a nonprofit organization, edX offers high-quality course content along with plenty of free resources for you to tap into.

Coursera, like edX, was also founded in 2012. This platform was created by two Stanford professors and partners with more than 150 different institutes, including Stanford, Princeton, and more – just like edX. The main difference in the origin stories of the two is that while Coursera is privately financed – and therefore focused on creating content for profit – edX is and will remain a nonprofit with a more philanthropic point of view. 

Besides those origins, there are some things to keep in mind when it comes to how easy it is to use either platform. 

But before you can dive into taking classes on either platform, you need to register. Here’s where the process starts.

It’s relatively straightforward to register with edX. All you have to do is provide your name and country of residence before creating a password and a public username. Of course, you’ll also need to plug in your email address. Once you do, you will receive an activation email. You can alternatively choose to sign up with Google, Microsoft, or Facebook, if you prefer.

Coursera has a similar registration process. You’ll just provide your name, email address, or password and then you can join – there’s no activation necessary. You have the alternative of registering with your Apple or Facebook accounts, too.

edX vs Coursera Features

Here are some of the top features of both edX and Coursera to be aware of.

Course Audits

If you’re interested in testing a class out to see whether it’s the right option for you, Coursera is likely going to provide you with the best opportunity to do so.

That’s because this unique online learning platform offers a course audit feature that will let you take a look at what kind of material is taught in the course and other information (like student feedback). However, you won’t be able to access assignments, quizzes, or certificates unless you actually enroll in the course.


Both Coursera and edX offer professional program certificates for the vast majority of their courses. After paying for a course and enrolling, you’ll be able to start learning immediately, moving through quizzes, exams, and other assignments.

If you do well enough on these, you’ll be able to receive a professional certificate of completion at the end. This can be added to your resume or used in other ways during your job search. We’ll go into more detail on the kinds of program certificates available with both platforms below, but for now, know that certifications are a huge aspect of what makes both edX and Coursera appealing to so many learners. 


Coursera offers a unique feature in its specializations. 

In the Coursera specializations, you will be able to pursue several related courses that are specific to one area. In taking this sequence of courses, you’ll build mastery in a given subject and rise to the top of your career.


Both Coursera and edX offer degrees. Coursera’s online degrees offer the same kind of learning experience you’d get while taking an online class at a university. 

Free Courses

Both edX and Coursera offer free courses. 

With edX, you’ll be able to audit a course for free (as mentioned above) or choose to pay for a verified certificate. With Coursera, you will be able to choose from the paid or free option for just a few types of courses – for the rest, a free trial is only available for seven days. After that, you’ll have to pay a monthly fee to keep learning.

Financial Aid

Both edX and Coursera offer financial aid. In the case of edX, financial assistance is available for learners who can show that paying the fee for the verified certificate would cause significant economic hardship.

The financial aid in this case will provide for a reduction of up to 90% in your overall costs!

edX vs Coursera User Interface

Once you’ve created an account, you’ll be able to view all the features that both platforms have to offer. edX is a good platform to consider because it is remarkably easy to navigate around. 

Everything looks crisp, clear, and sharp. It’s easy to find whatever you’re looking for in the navigation pane, whether that’s courses, programs, and degrees, schools and partners, or business plans. 

These navigation options are helpful because they make it possible for you to find courses offered by a specific school or courses in a specific subject. You won’t have any trouble finding exactly what you’re looking for.

edX can be used from any internet browser on your laptop or desktop. It can also be used on an app – there’s one available both for Android and iPhone users. 

Coursera isn’t much different in terms of its ease of access. Once you’ve created an account, you can navigate back to the homepage and view the many partners with whom this MOOC works. This will give you an excellent idea of everything that is offered here. 

Available from any modern internet browser on your laptop or desktop, Coursera can also be accessed via the Apple or Android app. 

Ultimately, the two platforms are very similar in their ease of access and design. You won’t have any issues navigating around either, though it’s important to note that edX has a cleaner, simpler design that can make it easier for you to find exactly what you are searching for. 

edX vs Coursera Support

Both Coursera and edX offer excellent learner support with their courses. 

Let’s look at edX first.

From the edX help center, you’ll be able to find the answers to just about any questions you might have. You can browse specific categories to find answers, such as Payments and Refunds or Certificates, or if your question can’t be answered in this way, you can submit a Contact Us request.

You’ll be able to submit a support ticket that will enable you to ask more in-depth questions.

Courses are more or less identical to edX in terms of how it offers support. You can search for a specific topic in the database of questions or you can browse popular topics like ENrollment and Account Setup. 

The advantage that Coursera has over edX is that it offers a live chat function. Rather than having to wait for someone to get back to you, you can type in your question and chat with the live operator. This is wonderful if you are looking for the answers to very specific questions and the standard articles just aren’t cutting it. 

Diving a little deeper into what both platforms offer in terms of support, it’s also important to recognize the help you’ll get while taking individual classes. 

Coursera’s instructors are known for their ability to interact with and support their students on all questions and issues they might have. These courses are offered at the university level so you will find that not only the quality of instruction but also the quality of assistance is better here. Remember, most Coursera instructors are university professors at major institutions, with most holding master’s or PhDs. 

edX isn’t too far off. Like Coursera, edX offers courses taught by university-level instructors so you’ll benefit from individualized attention.

Of course, you’ll find naysayers on both sides of the fence here, too. Some students have expressed that they’ve had administrative issues with assignments not being graded in a timely fashion on edX. Other users complain that it takes edX customer support professionals a long time to respond to queries.

At the same time, complaints of Coursera have to do with students being unable to cancel free trials and being charged full price. In fact, many users decry the lack of clarity when it comes to Coursera’s support in general. 

edX vs Coursera Certifications

Both edX and Coursera offer certifications at the end of most courses. Depending on the level of the course and what kind of industry you work in, these certifications can be immensely helpful when it comes to landing a job or promotion.

The strength and validity of a Coursera certification will depend largely on what level it is acquired at. While a standard-level course with a certification probably won’t be officially recognized by a company and instead serve more as some supplementary information you might include on your resume, a professional Certificate is accredited and will be recognized as being as valuable as an actual university degree. 

edX is similar. All edX certificates, when verified, are well-regarded by employers. As long as you pay around $50 and meet all other requirements, these certificates can be helpful in landing you a job. This article will give you more information on whether these edX certificates are truly worth it. 

Not only that, but many of these certificates are accredited and will allow you to transfer earned academic credit to an actual university, something you aren’t likely to find with most other MOOC providers. 

If you take a class in audit mode, you can upgrade to get a paid certificate at any time during your audit.Since edX is partnered with a variety of impressive institutions, like MIT and Harvard, these certifications are quite valuable. 

The only downside of edX’s certification process is that it can take quite some time for the verification process for certificates to be completed. 

edX vs Coursera Pricing

edX courses vary in price, with each one offered at a price point of somewhere around $50 to $300 for an individual course. This online learning platform also offers master’s degrees – these can be priced between $10,000 and $25,000, depending on what you’re looking for. These degrees are pricey, to say the least, but still much more affordable than if you were to enroll at a university to earn your degree.

Coursera also sells individual courses. These can cost anywhere between $29 and $99. This company also offers online master’s degrees. Again, these are costly, coming in at around $25,000 each. 

edX has a vast array of course options to choose from, so while this lends itself nicely to having choice and versatility in your online learning, the downside is that it can be quite complicated to figure out exactly how much you are going to have to pay. 

Here’s a quick breakdown of course pricing on edX;

  • A standard course will cost around $50-$300
  • Global Freshman Academy (which will allow you to earn college credit and transfer to another school) costs around $200 per successfully completed credit hour
  • Micro Programs are $500-$1500 
  • Professional Certificate programs are $150-$1000
  • Masters degrees can be up to $25,000 depending on the subject 

Again, edX offers users the option of auditing a course so that they can try a large portion of the class for free.

Like edX, the pricing on Coursera can also be a bit convoluted because there are so many different options. There is less free content on Coursera than there is on edX, too, which can be a downside, but you can preview the entire library of content for free for seven days with a free trial plan.

The breakdown of prices on Coursera is as follows:

  • A standard course will cost around $29-$99
  • Coursera specializations are $49 per month (for several months, in most cases)
  • A master’s degree will cost up to $25,000 depending on the subject

edX vs Coursera Courses

Both edX and Coursera offer a lot in terms of course content – both in variety and in quality. They are unique from other MOOCs, the bulk of which focus heavily on topics like software development, computer programming, and computer science.

Some of the most popular subjects on edX include:

  • Data analysis 
  • Humanities
  • Language
  • Business and management 

The only downside to courses on edX is that they tend to be elementary in nature. Despite being offered by some of the most prestigious universities in the country, courses here rarely go beyond the surface level and are instead quite broad. 

Most courses on edX are taught in English. There are a few courses available in Chinese, French, and Spanish as well, but these are few and far between. 

Coursera offers more courses than edX and does so in a more career-driven, professional way. The most popular subjects you’ll find on Coursera include:

  • Business
  • Data science
  • Social sciences
  • Health
  • Computer science
  • Logic 

Coursera’s courses, again, are taught primarily in English. However, this online learning platform does offer a great diversity of language in its classes. 

edX vs Coursera Content Quality

When it comes to the argument of Coursera vs. edX and which platform has the best course content quality, this one is going to be hard to quantify. Much of this will be personal and up to the discretion of the individual student.

Of course, both have university-level courses taught by some of the most well-respected instructors in the world. Both offer certificates, too, so that you can prove that you put the time and effort into these courses as well.

edX and Coursera each have unique features that will speak to their quality. On edX, you’ll be able to participate in a Global Freshman Academy that will let you earn transferable credits to actual universities. There are also microprograms that will enable you to take a variety of courses at the graduate level so you can advance your career later on. 

Coursera, on the other hand, has Coursera specializations. These unique courses are focused on particular areas and meant to train students for specific areas in the corporate world.

Coursera also offers a professional certificate that will allow you to participate in a training for a specific job position. You will be able to become qualified for a specific career without having to spend many years in school. 

edX vs Coursera Instructors

All edX courses are taught by instructors who are employed at the partner institutions. This is quite reassuring when you realize that these instructors are top ports in their fields! 

Not only that, but you’ll be able to connect closely to your instructors when taking classes on edX. You can read about instructors’ prior experience and access their social media links directly through the platform.

Similarly, Coursera’s courses are created with the help of the partnering institutions – helping to ensure that all content is of the very best quality each course is tested before it is launched by beta testers (generally experts in the field that is being taught) so that they can give feedback on the course before any students take it.

As is the case with edX, with Coursera, you will be able to read the biography and prior experience (along with accessing the social media links) of your instructor before you begin a course, too. 

edX vs Coursera Course Count

You’ll be hard to find a clearcut answer on which is better – edX or Coursera – in terms of course quality. The fact is that the two are so competitive and it’s difficult to compare them in that way.

However, there is one quantifiable detail that is important to note – Coursera offers far more courses, specialisations, and degrees. /

It has nearly 4000 courses with dozens of categories and subcategories. While this can make it a bit more challenging to find precisely what you are looking for, the variety is more extensive with Coursera than it is with edX. 

edX vs Coursera Available Languages

Both online learning platforms, in addition to offering features like quizzes, discussion forums, readings, videos, and more, also offer transcriptions of the video lectures. These transcriptions can be in English as well as in a myriad of other languages.

However, in addition to course count, it’s clear that Coursera far surpasses edX in one other way, too – the variety of languages available. With Coursera, you can take classes in ten different languages, while with edX, only five are readily available. Of course, with both platforms, these languages are not offered for each and every class – just for some.

edX vs Coursera for Business

If you’re a business owner trying to figure out whether Coursera or edX is right for you, you’re not alone. Plenty of companies like to be able to offer their employees a way to keep learning and develop their professional skills long into their careers. 

You can purchase a business plan for online learning both with Coursera as well as with edX. 

edX for business offers on-demand learning solutions that you can use to help your company grow and thrive. It offers packages for companies of all sizes and types so that you can “upskill and reskill” with content provided by top institutions. 

edX for business offers course content that is relevant and tailored toward businesses paired with helpful technical and customer success support. You’ll also be provided with learner data so you know whether the continued education is worth it for your company or not. 

The business packages offered by edX are priced on a per-situation basis and customized to meet your company’s needs.

Coursera also offers training and development programs that have been created specifically for businesses. There are enterprise and team packages. The team package is designed for small organizations and costs $400 per year per user, providing access to thousands of courses. The other package, the enterprise package, is priced on a case-by-case, customized basis. This is meant for larger companies, for the most part. 

Value for Money

It’s tough to say which online learning platform – Coursera vs. edX – offers the greatest value for your money. This will have to be determined on an individualized basis, since each platform offers different types of classes and all of these are similarly priced.

However, for the most part, we’d have to argue that Coursera offers the highest content quality with a wide range of courses to choose from. Not only that, but Coursera is accessible for everyone – it has plans for business (which, admittedly, edX does, too) but also offers courses in the widest variety of languages. 

edX has a slightly lower price tag than Coursera, with courses starting at $50. Coursera does offer a free trial, but according to some users, this can be tricky to navigate (and to cancel). 

Payments and Refunds

With both Coursera and with edX, you’ll pay upfront, on a monthly subscription basis, or through loans. 

Both offer financial aid. 

It’s important to note that for online degrees with either platform you will be expected to submit a formal admissions application. These applications are typically free but meant to demonstrate your readiness for such a program. 

A major complaint about Coursera, in particular, is that the platform is not the most transparent when it comes to pricing and refunds. To get a clear course price, you’ll have to register for a course – often, courses are offered on a monthly subscription basis. You’ll have to remember to cancel your subscription or you’ll be hit with automatic debits.

Refunds are challenging for Coursera – you’ll have to get in touch with customer service which at times, can be tricky (even with the live chat feature). 

Both Coursera and edX advertise refund periods of 14 days. Although it can be challenging to get ahold of edX customer service for any other reason, contacting them for a refund is, according to past student reviews, quite simple. 

EdX or Coursera – Which Online Learning Platform is Right For You?

The decision of Coursera vs. edX is one that we cannot make for you. Each of these MOOC platforms offers unique advantages and a wide selection of courses – you’ll have to choose the option that’s best for you in terms of your learning goals and professional development needs.

Want to learn more about each platform in depth? Be sure to check out our Coursera review and our edX review to help you make this decision.

Hopefully, our comprehensive review of the learning experience offered by each online learning platform has been helpful. Consider trying both Coursera and edX courses to help you decide which learning experience is your ideal option. 


In early 2020, schools had to quickly shift to online learning. While online classes have been around for many years, the shift was so quick and drastic. The concept of online classes seemed simple at first. Listening to lectures from the comfort of your own home seems like a dream, right? Not exactly.

When classes had to be done online, students from all over the world reported feeling stress fatigue and suffering from adjustment issues. Not too long after shifting to online classes, everyone—students, teachers, and other school staff—complained of experiencing burn out, among other mental-health related concerns. In this article, I will share some ways to manage your stress levels.

Related reading: How to Motivate Yourself to Study – 10 Science Backed Tips 

Stress for students

Stress can be a good thing or a bad thing. It is good when it propels a student to become productive and achieve goals that they set. Stress is bad when it is unmanaged and it affects a person’s physical and mental health, preventing them from being productive.

Students have to be able to manage their stress levels because this is the only way to survive the stress of taking online classes. Moreover, learning how to manage stress is an important skill to have as they enter adulthood and the workforce.

Below are some tips that you can try. Bear in mind that not everything will work for you. These are just some suggestions. Feel free to try any or all of them.

Tip #1: Focus

Of the many things on a student’s plate amid the distractions and disruptions at home, students have to train themselves to focus on their classes. It can be especially difficult if you are feeling stressed and overwhelmed. The good thing is, the mind can be trained to focus.

One tried and tested way to help the mind focus is through meditation. Contrary to popular belief, meditation teaches us not to clear our minds, but to focus on one thing, and that is the present moment. Take a seat with the eyes closed and the spine straight. Close your eyes and breath slowly and deeply. Focus on your breathing.

This is exactly why many mediation practitioners choose to do it in the morning. Start the day feeling focus and centered before heading out into the online world. Training the mind to focus is not easy, takes a lot of time and effort, but over time, it can alter the brain.

Tip #2: Begin with an end in mind 

Attend your online class with a goal in mind, and at the same time, be mindful of your circumstances and challenges. When it comes to goal setting, it is best to makes ones that are doable and not too lofty.

Setting specific, measurable, attainable, relevant, and time-bound (SMART) goals will help you set realistic goals, and take steps towards achieving them. It’s good to work hard, but definitely helps to know what you are working towards and what to do to get there.

When setting goals, try to state them in a positive statement—instead of “I don’t want to fail in Chemistry”, you can state it as “Understand the Chemistry formulas and concepts well”. Set your priorities accordingly so that you can work towards achieving your goals..

Plan your schedule around achieving your goals. Going back to the “chemistry” example, if you’re having a hard time with the course content, then schedule extra study time. If necessary, look for a study buddy or a tutor.

Write your goal down on your journal, make it your smartphone wallpaper, put it up on your wall. It’s good to be reminded of your goals in case you get tempted to watch an extra episode of your favorite show.

Tip #3: Be organized

Being organized is an asset, especially when it comes to online classes. Even though the school provides the schedule of classes and takes care of the course content, it’s up to you to create an environment that is conducive to learning.

Setup a study area where there is good lighting, clear from clutter, and free from distractions. Clutter and disturbances can affect your ability to focus, and even cause stress. Keeping your study area clean and well-lit will help you focus on the class. 

Aside from having an organized study area, students also have to be good at managing themselves. When attending online classes, you have to be responsible for yourself and for your learning.

Being organized is an important step towards being able to manage the situations you might encounter and ultimately guide yourself towards accomplishing the tasks that you have to do.

Being organized helps combat procrastination and minimize stress.

Set a weekly schedule for classes, meetings, chores, errands and personal activities that you need to accomplish. If you’re looking at a daily schedule, you might feel overwhelmed with the things that you have to accomplish, but when you plan for the week ahead, you might realize that you have more time than you think.

Tip #4: Have a daily routine

Being organized will be helpful with creating and maintaining a daily routine that works for you.

Having a routine is important because it allows to plan your day in a such a way that you can be productive, making sure to have time for everything (academics, household responsibilities, self-care).

An example of a healthy routine would be to get up at 6:00am every morning, drink some water and do light stretches. Some would incorporate a 5-minute meditation session to help clear the mind. A routine does not have to take a full hour if all you have is 20 minutes to yourself.

Create a routine that you can commit to. The point of having the routine is to put you in the right mindset so that you can focus on your online task, and still have the time to accomplish day-to-day household chores and responsibilities.

Tip #5: Breathing and mindfulness

Breathing exercises are helpful in managing stress and anxiety. When you’re feeling stressed and overwhelmed, you’re probably not thinking clearly and breathing properly. This can lead do bigger problems like having panic attacks, hyperventilating and other psychosomatic responses to stress.

One simple trick to nip stress in the bud is to take a few deep breaths when facing a stressful situation. Doing so allows the person to think clearly and find solutions to the concerns they are facing. Breathing exercises can be done anywhere. All you need is a couple of minutes—some opt to find a quiet corner

Mindfulness teaches people to be in the present moment. This means letting go of things that are beyond one’s control. The practice of mindfulness is rooted in Buddhist traditions, but clinicians often use mindfulness techniques to help alleviates stress, feelings of overwhelm and helplessness.

Tip #6: Affirmations

Get into the habit of positive thinking. Affirmations are short positive statements that encourages positive thoughts. Some examples of affirmations:

(1) “Accept the things that I cannot control and work on the things that I can”,

(2) “I am enough”, and

(3) “I will be okay”.

Choose one mantra for yourself. Make it a short one so it’s easy to remember. Keep these positive messages to yourself. Affirmations can help shift negative thought patterns that pop up when we are stressed. Affirmations can help a person gain some semblance of control and optimism when a wave of stress and negativity threatens to drown you. Recite your mantra whenever you feel the onset of stress and negative thoughts. If done repeatedly over time, it can boost your self-confidence.

Tip #7: Sleep

You need to let yourself recuperate from the stressful time that you have during the day. Doctors recommend having 7-8 hours of sleep every night, which is the ideal amount of time to allow yourself to rest and recover from an entire day’s rush.

Having enough rest is key to decreasing one’s stress levels, but unfortunately, sleep can disrupt a person’s sleeping patterns. To solve this, you have to create a sleep routine.

Similar to the morning routine I mentioned earlier, the goal of this routine is to have the mindset to wind down and rest. You can do this by taking a shower and doing an evening skin care routine. Put your gadgets away and turn off the TV for at least 30 minutes before going to bed. Light a lavender scented candle if you need to.

Tip #8: Exercise

Engaging in any sort of physical activity such as running, hiking, yoga help relieve stress by taking your mind off of the things that you are worried about. Exercising helps release endorphins, the happy hormone. That “high” you feel from doing a quick run or a brisk walk uphill is caused by the endorphins. It can help lift your mood and decrease the feelings of stress.

You can squeeze in exercise at any point during the day. It’s particularly helpful to do back and hip stretches every couple of hours. Sitting around for extended periods of time is terrible for the body. You have to keep it moving to avoid losing function. 

The key is to find activities that you enjoy enough to want to do them a few times a week.

You can do shorter bursts of exercise if you’re particularly busy. After all, a 15-minute sweat session is better than none. 

Tip #9: Talk to someone

Do not hesitate to reach out to a trusted friend, family member or mental health professional to help you get through a rough patch.

Feelings of loneliness and isolation exacerbate an already difficult situation such as taking online classes. Find the right person to talk to. While it’s good to vent out frustrations to friends, doing this repeatedly can be counterproductive.

Find the people that can actually help make the situation better. If you are having problems with how the online classes are being conducted, talk to your principal or a school administrator. For subject-related concerns, talk to your subject teacher.

These people can help you deal with feelings of anxiety and stress, but they can also teach you good habits to help you move forward. There are a lot of wonderful free online resources that you can look into for assistance.

Stress is inevitable

Strictly speaking, any sort of activity can be defined as stress. Sometimes, a little stress and pressure can help bring out a person’s potential. It is in these difficult situations that a person is able to use their skills and talents.

Rather than avoiding activities and situations that can be stressful, it’s better to face the stress head on and manage it. The tips listed above aim to help students cope with the stress of online classes, but they can also be applied in other situations.

Final Thoughts

Online classes is stressful to both teachers and students. It is impossible to get rid of all sources of stress because in reality, a little stress can be a good thing. The best thing to do would be to deploy various strategies to manage stress so that you can focus on online class and be able to do other things.

In the absence of the physical presence of teachers and the sound of the bell in the schools hallway, you really have to learn how to be internally motivated and disciplined to be able to survive online class while being able to take care of yourself.

Be patient with yourself if you’re struggling with the minor adjustment to your routine. I suggest trying out one tip, and see how it works out for you. Find one that works for you and stick with it.


Have you been invited to a technical interview at one of the world’s top tech companies, like Google, Microsoft, or Apple? Perhaps you’re ready to take your education as a software engineer to the next level and want to start preparing for the demands of interviewing.

Our AlgoExpert review will help you find the best place to do so.

As you’re looking for the ideal online learning platform to prepare, you might find that you’re growing increasingly frustrated. Although there are plenty of resources out there to teach you coding skills and other hard and soft skills you might need to ace a technical interview, there are few that offer this kind of preparation in more than one programming language.

In our review of AlgoExpert, you’ll find that this unique online learning platform is different. 

Keep reading to learn how – and whether this platform is right for you. 

What is AlgoExpert?

Founded in 2017, AlgoExpert was created by Clement Mihailescu. An aspiring software engineer, Mihailescu was placed in a tricky – albeit exciting – position when he landed his first coding interviews for a promising software engineering job at Google.

To prepare for the interviews, he found himself poring over textbooks, reading articles, and watching YouTube videos. Despite hours’ worth of preparation, Mihailescu didn’t feel adequately prepared – and instead just felt frustrated and defeated. 

Because most textbooks were written with a focus on Java and C++ and not on other languages, like Javascript, he found himself struggling to understand the content. 

AlgoExpert was created out of Mihailescu’s desire to offer a more accessible way to get yourself ready for technical interviews at some of the company’s leading tech companies, such as Facebook, Microsoft, and Amazon. 

It is a paid online learning platform designed specifically for software engineers. Here, you will be able to practice interview questions to prepare you for an in-demand career in tech.

Unlike other online learning platforms, this one focuses primarily on technical skills. You’ll navigate through various questions in things like data structures, algorithms, and problem solving with more than 160 types of questions to help you prepare. 

Who is AlgoExpert For?

AlgoExpert is a one-of-a-kind platform that is ideal for aspiring software developers.

However, if you’re new to software development, then it’s probably not the platform for you. It’s not trying to offer a beginner-level education in programming or to teach newbies the basics of computer science. 

Instead, its goal is to prepare people who more or less already know what they are doing for lucrative careers in software development. It’s more of an interview preparation tool than anything else. 

Designed for professionals who already have a strong training in the field, it’s truly for the upper echelon of the industry, targeting professionals who are looking for jobs at places like Facebook, Amazon, and Google.

How Does AlgoExpert Work?

The content on AlgoExpert spans 15 categories and four difficulty levels so that you can be prepared for anything your interviewer throws your way. In addition, nine different programming languages are covered, with the platform allowing you to use an in-browser window to write and run your own code. 

When you prepare for interviews with AlgoExpert, you won’t just be asked questions in a shotgun-style pattern. Instead, for each question, you’ll be given a two-part video explanation. This will provide you with a clear, contextual, and conceptual overview of each algorithm, teaching you the best way to approach, optimize, implement, and analyze the problem. 

You will also be given a clear walkthrough of the code in Python.

There are a few different options you can choose from when you sign up for AlgoExpert. 

AlgoExpert is the ultimate resource to help you prepare for coding interviews, with everything you need in a simple, easy-to-navigate, and streamlined platform. 

SystemsExpert is another option to consider. A bit less expensive than AlgoExpert, it is a course on large-scale distributed systems to help you ace interviews specifically in systems design. 

MLExpert, on the other hand, will help you learn machine learning coding questions. It includes a series on large-scale machine learning along with a helpful glossary of machine learning terms. Again, you’ll receive comprehensive video explanations and all the other features of AlgoExpert and SystemsExpert – but for aspiring machine learners instead.

Features and Functionality

Here are some of the most significant features of AlgoExpert that you need to know about as you prepare for the job of a lifetime.


Hundreds of Hand-Picked Questions

One of the most difficult elements of preparing for an interview is not knowing what to expect. It can provoke anxiety and uncertainty, but AlgoExpert takes some of the uncertainty out of the process with its 150+ questions. 

The questions are separated into five difficulty levels – easy, medium, hard, very hard, and extremely hard. 

In addition to searching questions by difficulty level, you can also narrow your search down by category. There are fourteen categories covered by AlgoExpert, including:

  • Binary search trees
  • Linked lists
  • Binary trees
  • Strings
  • Searching
  • Stacks
  • Arrays
  • Famous algorithms
  • Dynamic programming
  • Sorting
  • Recursion
  • Graphs
  • Tries
  • Heaps 

….in addition to challenges like:

  • Palindrome partitioning
  • Nth Fibonacci
  • Depth-first search
  • Merge sort
  • Group anagrams
  • Move element to end

More than 100 Hours of Video Explanations

AlgoExpert Features

When you’re preparing for a challenging interview in software development, it’s not enough to just work through practice problems  – you also need to understand why things are the way they are!

AlgoExeprt will prepare you with its 100 hours of video explanations. Code walk-throughs are in Python (the argument for this being that Python is the easiest to read) but solution files are available in nine different programming languages.

Each video explanation is strategically broken down into two separate parts – a conceptual overview and a code walkthrough. In the conceptual overview, you’ll create a strategy for the algorithm, including how to approach, implement, optimize, and analyze it. 

In the code walkthrough, you’ll focus primarily on implementation. 


Workspace Environment

With any of the AlgoExpert options, you will enjoy access to a powerful workspace environment that features a helpful text editor, a full mock video interview, guided question and answer sessions, and clear written solution walkthroughs.

This will enable you to practice in a realistic, hands-on way. 


A Crash Course in Data Structures

As you likely already know, data structures form the foundation of most coding interviews with a huge emphasis placed on this area at most tech companies. 

In the crash course in data structures at Algo Expert, you’ll benefit from a video series that will provide you with the foundational knowledge you need to be well-versed in all the popular data structures you might encounter. 


Analyses of Space-Time Complexities

Knowing and comprehending how much memory is used by an algorithm (as well as how quickly it runs) is incredibly important when it comes to technical interviews. Each video explanation includes a helpful and in-depth space-time complexity analysis to make sure you’re at the top of your game.


Solutions Offered in 9 Programming Languages 

One of Algo Experts’ founding principles is that you shouldn’t have to prepare for an interview in just one language – everybody has their own unique specialties.

Because of this, the platform offers solutions in nine different languages, including Python, JavaScript, C++, C#, Java, Swift, Go, TypeScript, and Kotlin. 



A typical day at a coding interview can be stressful, especially when you consider how intensive the assessments are.

AlgoExpert simulates this environment to prepare you as best as it possibly can, providing you with assessments that include not only the content you might encounter, but also the format of the assessments themselves.

Generally speaking, these practice assessments include four hours to answer two questions followed by a one-hour break and then an additional four hours to answer two more questions.

Each assessment is timed and curated to mimic a real day of coding interviews. The assessments are filled with variety in terms of both content and difficulty level.


Mock Coding Interviews 

In addition to the coding assessments described above, AlgoExpert also features 15 videos to prepare you for the behavioral interview. You’ll get three videos that offer advice for the behavioral interview along with 12 additional videos that offer theoretical answers to those interview questions. 

These interviews will allow you to practice with a real human being, enabling you to partner with other people and participate in interviews in a shared workspace.


Certificate of Completion

When you complete all 100+ questions on AlgoExpert, you will be able to earn a certificate of completion, helping you prove to yourself and others that you’re ready to move on to the next step in your career – acing the interview! 

AlgoExpert Pricing Model

AlgoExpert Pricing Model

AlgoExpert has several different pricing models. Choose to purchase an AlgoExpert plan and you can enjoy access for one year. 

AlgoExpert costs $99 per year. Select this subscription and you’ll receive:

  • 160 coding interview questions
  • Two-part video explanations
  • Space-time complexity analyses
  • Solutions in nine different programming languages
  • Certificate of completion
  • Crash course on data structures
  • Four coding assessments
  • Behavioral interview content
  • In-browser IDE

Alternatively, you can purchase SystemsExpert if you’re interested in a career in systems design. This plan costs $79 for a year of access and includes:

  • 10 systems interview questions
  • Systems design course
  • Glossary of design terms
  • Video explanations
  • Certificate of completion
  • Written walkthroughs and systems diagrams
  • Timed quiz 
  • Behavioral interview content

Last but not least is MLExpert, which costs $99 per year for one year of access. You’ll get:

  • Machine learning coding and design questions
  • Exhaustive course on machine learning
  • Glossary of terms
  • Video explanations
  • Certificate of success
  • Timed quiz
  • Behavioral interview content

Can’t decide which product to purchase? You’ll get a 25% discount for bundling when you buy two or more of these products. 

There are also bulk packages available if you want to buy a bundle for a group of students. 

It’s important to note that, when you buy an AlgoExpert subscription, you are buying it only for one year. Your subscription will not be renewed after your license expires. You’ll have to go back in and purchase the product again. 

However, if you decide to purchase it for an additional year, you’ll receive a 30% loyalty discount. This discount is reelected in the product price on the purchase page after you have logged in. 


When you sign up to use AlgoExpert to prepare for your interview, you’ll benefit from a supportive learning environment that features video tutorials, troubleshooting guides, question and answer sessions, and more.

If you are struggling with some technical aspects of using the platform itself, you can check out the FAQ on the AlgoExpert website. This is also the place where you can file a bug report or view solutions to common issues that you might encounter.

The Advantages (Pros) of AlgoExpert

AlgoExpert is an interview preparation resource for software developers that is taking the world by storm. Here’s what you need to know about its many advantages. 

Excellent Outcomes 

Let the reviews speak for themselves!

AlgoExpert graduates and customers have landed jobs at top tech companies such as:

  • Zillow
  • Facebook
  • Google
  • Two sigma
  • Morgan Stanley
  • NBC Universal
  • Bloomberg
  • Simon
  • Amazon 
  • BlackRock
  • Microsoft 

Superb Practice Environment

AlgoExpert offers an excellent practice environment, bringing together both video and interactive code editors to help prepare you for a technical interview.

You’ll have access to a four-pane section in which you can read the question, code your solution or solutions, run your code, receive helpful hints, and hopefully, pass the tests. You’ll be able to do all of this in your programming language of choice.

You’ll be able to navigate around multiple tabs for the ultimate level of control, accessing an upper left panel that will allow you to read prompts, use a scratchpad for notes, view the solution, and watch the video explanation.

Wide Variety of Questions and Categories 

One of the most challenging aspects of preparing for an interview in any field – but especially software development and coding – is not knowing what to expect. If you want to ace your interview, AlgoExpert is the way to go.

This online learning platform includes questions in fifteen different categories with more than 160 different questions to choose from. They’re offered at all difficulty levels, too, so you can start off easy and go from there.

Questions are included in categories like sorting, searching, dynamic programming, binary trees, strings, trees, graphs, arrays, and much more. Chances are, even if there’s only a slight likelihood that a question will be asked on a certain topic in an interview, AlgoExpert includes it in its vast collection of questions. 

Helpful Videos 

The thing that really sets AlgoExpert apart from its competitors is its catalog of helpful videos. It’s no secret that interview questions and algorithms are tricky – but something that is arguably even trickier is trying to understand the inner workings of a difficult algorithm from a book. 

AlgoExpert offers crisp, easy-to-follow 1080p videos with clear audio. These are strategically broken down into two separate sections to offer you comprehensive explanations and solutions to questions. 

There is more than 100 hours of content and all of it is tailored specifically to you to help make understanding interview questions and algorithms easy. 

Ultimate Crash Course in Data Structures 

The data structures crash course is another defining feature of AlgoExpert. 

With this course, you’ll be able to cover everything you need to know, such as fundamental concepts pertaining to memory, Big O notation, and complexity analysis. The course breaks down popular data structures as you can get a clear idea of how those concepts are applied. This can alleviate a lot of the stress and uncertainty you might experience walking into an interview and not knowing what to expect!  

Big O Notation Made Easy

AlgoExpert makes Big O Notation easy. You’ll cover both time complexity and space complexity in your work, learning everything from what O(logN) really means to the time-complexity difference between appending a value to an array and adding a character to a string.

All video explanations take a deep dive into this content as well as space-complexity so that you can become the most well-rounded Big O expert possible. 

Nine Languages Offer Accessibility For Everyone

A major downfall of most interview preparation resources is that they aren’t accessible to everyone because they’re offered only in one programming language. With so many programming languages to choose from, there’s a good chance that the language offered will be a language that you don’t know.

With AlgoExpert, you no longer have to worry about that – all questions come with written solutions in nine popular languages. This makes the resource more accessible for data scientists, “Androiders,” “old-schoolers,” and iOS engineers alike!

The Disadvantages (Cons) of AlgoExpert

Consider these disadvantages of AlgoExpert as you’re deciding whether it’s worth spending $99 to prepare for an interview.

Only 100 Questions

Some critics have argued that AlgoExpert simply is not worth the money because it only offers 100 questions to prepare you, many of which are standard and well-known by the entire software engineering community. Some argue that the materials could be accessed for free via the Internet or through other platforms, like LeetCode’s non-premium resources.

However, it’s important to note that while learning these skills and accessing the material through the Internet is a possibility, it’s going to take some time (and some digging) to find exactly what you are looking for. If you want to skip the search, AlgoExpert is the way to go.

Geared Toward Visual Learners

Many people argue that AlgoExpert doesn’t have enough content to make it worth its price tag, especially if you aren’t necessarily a visual learner. AlgoExpert prepares learners primarily through videos and other visually-oriented activities.

If you learn best by listening or some other fashion, then this might not be the best platform for you. 

No Free Version – and No Refunds

AlgoExpert is one of those platforms that knows its worth – unapologetically. There is no free trial plan – although you can try out a few questions in each difficulty level and category before you buy a subscription. 

While most users are satisfied with the experience that this platform has to offer, the downside of using it is that if you aren’t satisfied, there are no refunds. You get what you get!

AlgoExpert Alternatives

If you’re hoping to land a job in software development, you have a lot of resources to choose from to help you get prepared. However, AlgoExpert is one of the best. With dozens of testimonials from employers and engineers alike,all of whom highly praise the quality selection of videos, algorithms, and explanations here, you’ll find that there’s not much in terms of competition.

A major competitor to AlgoExpert is LeetCode. LeetCode is similar to AlgoExpert in that it offers a wide variety of coding problems at various levels of difficulty and content. 

The biggest difference between the two? While AlgoExeprt does not have any kind of free plan, LeetCode has a basic tier that is 100% free. 

In addition, this platform focuses more on scoring and peer competition, relying on a close-knit community to provide solutions and context to problems. AlgoExpert is more individually-driven. 

While you’ll likely enjoy the collaborative environment of LeetCode, some users have reported frustration in that users often try to “one-up” each other with their solutions, taking the focus away from interview preparation and placing it more on the competition. You also do not receive video explanations or upgrades for help, even with the paid version of LeetCode (which is more expensive than AlgoExpert at $159 per year). 

Another alternative is Grooming the Coding Interview. This is more of a full-length course that features more than 180 lessons, 125 challenges, thousands of playgrounds, and hundreds of code snippets and illustrations for you to browse. Again, though, there are no video explanations and the emphasis here is on patterns for solving coding interview problems rather than learning answers to specific questions.

Some other alternatives to AlgoExpert include HackerRank, Learneroo, Coderbyte, and Pluralsight.


If you want to ace the technical interview and land a rewarding career as a software engineer, you’ll have your work cut out for you for sure! From knowing what to say to mastering the technical aspects of the interview (like mastering coding skills), it’s hard to know what the tech companies are looking for.

Hopefully, our review of AlgoExpert has been helpful in showing you the benefits of using such a resource to prepare. Not only does this online learning platform provide detailed video explanations and hands-on tools to help you master everything from systems design to data structures, but it does so in a clear, easy-to-understand, and accessible way.

Don’t just take our AlgoExpert review as gospel. If you’re preparing for an interview and aren’t sure where to start, go ahead and give it a try for yourself, and let us know what you think! 


Is AlgoExpert worth it?

If you want to land a high-ranking software development or software engineering job, you won’t find a much better resource to help you prepare than AlgoExpert. This platform isn’t’ free’ by any means, but it offers some of the best interview prep resources all in one place – no more digging to find whatever it is that you need! 

How much does AlgoExpert cost?

Unless you are interested in a SystemsExpert plan, you’ll pay $99 per year to use AlgoExpert for one year. 

Can I get AlgoExpert for free?

Unlike many competitors, AlgoExpert does not offer a free trial of its services. You can try four practice questions of various difficulty levels so you can give the platform a quick try before you purchase the subscription, but that is the extent of the free plan.

What languages are offered on AlgoExpert?

On AlgoExpert, you’ll be able to access content in nine different programming languages – Go, TypeScript, Kotlin, Swift, C#, C++, Python, Java, and Javascript. 

Is AlgoExpert good for beginners?

AlgoExpert is not designed for beginners. Although it has a wide range of content with hundreds of questions for users to solve and helpful, detailed video explanations for every problem, it is geared toward intermediate or expert-level developers who are ready to move on to the job-seeking portion of their education.

Is AlgoExpert enough for coding interviews?

AlgoExpert is one of the best places to practice coding and to prepare you for coding interviews, since it offers hundreds of questions in all kinds of categories. Not only that, but it will prepare you with the soft skills and other skills you need to make a serious impact when you interview. “Graduates” of this program have gone on to land interviews at prestigious companies like Google, Facebook, Microsoft, and more.


Taking notes is a foundational element of building good study habits. It goes beyond simply copying words on a screen or a whiteboard, or writing the words that a lecturer is saying word-for-word.

Note taking helps us process the information that we receive in any setting, whether in class, a meeting or a self-study session. Note taking helps us remember the important concepts, terms and other pertinent information.

There has always been a debate about whether it’s better to take handwritten notes or typed notes. Educators, learning experts and researchers recommend taking handwritten notes because it helps with information processing and memory retention.

But what about typed notes? In a digital age where everything is going online and paperless, shouldn’t we at least consider alternatives?

Related reading: How to Take Study Notes – 7 Effective Note-Taking Methods

Good note taking

When you look up the term “notes” or “good notes”, you will see pretty, aesthetically pleasing notes on notebooks with impeccable handwriting and pastel highlights. However, good notes and good note taking skills have more to do with the content itself. Making it pretty is just a bonus.

For students, good notes are a condensed version of a chapter or a lecture. It not just about copying the keywords and their definitions in your own notebook or computer. It has to do with taking that information and putting it in terms that you understand. 

When taking classes from experts and highly intelligent individuals, they may use jargon or move at a fast pace. The student has to be able to capture the important parts and details of these lectures and classes, and organize it in a way that helps them understand and remember these details.

Hand written notes

Taking handwritten notes promote cognitive processing. When taking notes by hand, we are forced to condense the information and write it in terms that we can understand.

Handwritten notes is ideal when it comes to dissecting and connecting concepts. This gives students the opportunity to engage with the learning material—remember concepts, dive deeper and make connections—encircle keywords, draw arrows between related concepts!

Handwritten notes help us recall information. When writing notes by hand, students are more “engaged” in the sense that they have to discern which parts of a lecture need to be remembered. Since handwriting is limited by a student’s writing speed and ability to process information, the student will likely take notes of the information they deem to be important. However, there is a risk of omitting important details for more complex class material.

Another important but often overlooked benefit of taking handwritten notes is that is allows students to practice their handwriting skills. Fine motor skills are an important developmental milestone.

In a digital world that places importance on typing speed and tapping on screens, many young students are not able to practice using their hands. When taking notes, not only are students able to practice information processing, they are also able to practice writing legibly.

Typed notes

There is an apparent preference for handwritten notes as opposed to typed notes among educators. The main issue with typed notes is that students focus more on typing everything that a teacher or lecturer says word-for-word without context. By focusing on typing, students are not able to process information and identify the key concepts and important details.

There is also the risk of students attempting to type notes and do other things at the same time. Students who type fast can spare a few seconds or minutes to do things that are not related to the task at hand. This can lead to distractions and can derail a student’s momentum.

However, typewritten notes have their place in the realm of note taking. Typing notes can be helpful in a lectures, especially when the speaker is going through the materials quite fast. Because it is faster to type than to write by hand, it might be better to type everything verbatim as the lecturer is speaking. The key is to  review verbatim notes later on – paraphrase, rephrase and summarize the content. This will encourage the brain to process information.

Typed notes can be helpful with factual information. If you need to memorize important terms and concepts, it might be more efficient to just come up with a list of key words and their meanings.

Handwritten notes on a digital device 

The world of information technology has found a way to merge the best parts of handwritten and typed notes. These days, there are apps that allow users to make handwritten notes on digital devices, specifically, tablets. Apps like GoodNotes and Notion can be downloaded on an iPad and synced with your personal laptop.

Although some features may vary, the general feature of these apps is that students can write on the surface of a tablet on the app as if they were writing on a notebook. These apps mimic the functions of a notebook while keeping everything paperless. The best thing is, it is stored digitally, further minimizing the need for paper notebooks and pens. This solves the problem of repeatedly purchasing writing materials and storage once the semester is over.

A note on distractions

The main concern about typing notes is the higher risk for distractions. You will essentially be working on digital devices where you can access websites, apps and files that can lead you astray from your task. One moment you’re looking up related content to the subject, the next thing you know, you’re looking at memes and random videos on the internet! It’s not just entertainment sites and social media that can distract—you might end up doing tasks for other subjects instead of listening to the lecture.

Opting to take handwritten notes might minimize distractions, but you can still get distracted. If your brain is already overwhelmed with information, you might unconsciously grab your mobile phone and start going through your emails and social media. Likewise, a few seconds of doodling might lead to a full-on daydream session.  

The trick to this problem is to be aware when your mind starts to wander. If this happens, take a few minutes off to have a mental break. Stand up, take a sip of water and stretch your neck muscles. Keep this break brief so as not to break your momentum.

Which one to use?

Choosing which method to use depends on your personal preference and circumstances. Whereas handwritten notes encourages conceptual understanding, typewritten notes can be effective for memorization. Educators and researchers sing praises for hand written notes (and for good reason!), however, do not disregard typed notes as it can also be helpful.

Choosing the best method is a little more complex than you might think. Although personal preferences plays a role, there are other things to consider. In the online learning setting, students are forced to sit down and stare at their screens, while occasionally engaging in recitation.

Instead of passively listening and waiting for the teacher to send the PowerPoint slides, take notes, annotate your books and ask questions. There is a higher risk for distractions in online classes. One way to deal with this is to take notes.

Go for the method that allows you to focus. Typing might be best if you have physical difficulties that prevent you from writing fast enough or writing at all. It might also be a good option if you are unfamiliar with the topics being discussed and have yet to figure out which information is important. The good thing about typed notes is that it’s easier to come up with more comprehensive notes, edit and search through. It’s also easier to share with your peers.

Tips for taking notes

  • Focus on the topic that you’re writing notes for, especially if you’re typing notes. If you’re unfamiliar with a certain concept, highlight it and don’t look it up on your browser as it might distract you from your flow. If you need to ask questions, ask the teacher or lecturer.
  • Handwritten notes may not come out as neat and organized at first, but do not be discouraged. You may rewrite notes at a more convenient time. What’s important is that you’re able to take notes while the lesson is on-going.
  • You will see more improvements the more you write notes. Your hand will hurt less, and your brain will get sharper at retaining important information. Keep going!

    Final Thoughts

    Effective note taking is an important part of the learning process. You can summarize and organize an entire semester’s worth of course content into notes that you can comprehend.

    It’s a lot different from simply highlighting textbooks and readings because when you take notes, you are essentially rephrasing concepts, various terms and ideas in your own words. While handwriting notes helps with this process, typed notes can also be useful. 

    When it comes to note taking, the best method is the one you are using—that is to say, both are good. Having handwritten or typed notes is better than having none. The goal of any note taking method for students is to help a person develop a deeper understanding of study tools and materials so that these can be reviewed and remembered when needed.


    Data science is among the fastest-growing domains in the IT industry. In recent years, data scientist jobs have emerged as the most sought after roles in the job market.

    Due to the rapid generation of data, organizations are investing heavily in employing data science professionals to help them analyze the large-scale and complex data to attain business growth. 

    As per recent job trend analysis reports, a minimum of 5 million data science jobs is likely to be listed in the IT job industry. With advanced technologies such as big data gaining immense popularity, the need for deriving meaningful insights and co-existing and working in unison has become more important.

    As a result, the role of data scientists has evolved into more well-defined roles, thereby creating endless opportunities to deep-dive into this future-proof profession.

    Each year, the world of data science is evolving, which signifies newer technologies, tools, and theories that are being added for advanced analysis. Such scenarios call for professionals who are updated with new skill sets to provide a more competitive advantage to the organizations.

    Therefore, it is crucial to opt for top data science courses that are a valuable addition to the career, instead of a mere certification. With this in mind, the article focuses on providing the best data science courses that are available on the online platform today.


    Data Science Courses


    1. Data Science Specialization – Johns Hopkins University – Coursera

    Data Science Specialization (Johns Hopkins University)

    The course is a data science specialization course on the Coursera platform. The specialization covers data science fundamentals and the important tools that are required in the data science pipeline

    There is also a capstone project at the end of the course. The purpose is to build a data product with real-world data and with the concepts covered in the entirety of the course. The outcome of the course for learners’ will be the know-how of R programming to clean, visualize and analyze the data, the knowledge of how to manage data science projects using GitHub, exploring the concepts of navigating the data science pipeline from the point of data acquisition to publication and the idea of performing regression analysis and regression models.

    The modules of the course are:

    • The Data Scientist’s Toolbox
    • R Programming
    • Getting and Cleaning Data
    • Exploratory Data Analysis
    • Reproducible Research
    • Statistical Inference
    • Regression Model
    • Practical Machine Learning
    • Developing Data Products
    • Data Science Capstone

    Level: Beginner

    Duration: 11 months

    2. IBM Data Science Professional Certificate – Coursera

    IBM Data Science Professional Certificate

    This data science online course from IBM is offered on Coursera. The data science course syllabus for the program consists of 9 modules. The certificate course has a strong emphasis on building practical skills of the learners and it includes a hands-on lab session for each module.

    The course explores all the latest tools and skills along with important concepts on open-source tools, python and its libraries, SQL, data visualization, data analysis, machine learning algorithms, and predictive modeling. The tools such as Jupyter, GitHub, RStudio, and Watson studio will be introduced as well. Some of the important libraries like pandas, NumPy, Matplotlib, Seaborn, ScipPy, Scikit-learn will be covered during the hands-on sessions.

    The course modules are listed below.

    • What is Data Science?
    • Tools for Data Science
    • Data Science Methodology
    • Python for Data Science and AI
    • Databases and SQL for Data Science
    • Data Analysis with Python
    • Data Visualization with Python
    • Machine Learning with Python
    • Applied Data Science Capstone

    Level: Beginner

    Duration: 10 months

    3. Professional Certificate in Data Science – Harvard University – edX

    Professional Certificate in Data Science (Harvard University)

    This is an online data science certification course by Harvard University on the edX platform. The learners will be able to understand the concepts on R programming fundamentals, statistical concepts of probability, inference, and modeling, data visualization, explore the essential tools such as Unix, Linux, git, GitHub and RStudio, machine learning algorithms, and real-world case studies of data science.

    The modules of the course include the following.

    • Data Science: R Basics
    • Data Visualization
    • Probability
    • Inference and Modeling
    • Productivity Tools
    • Data Wrangling
    • Linear Regression
    • Machine Learning
    • Capstone

    Level: Beginner

    Duration: 1 year 5 months (self-paced)

    4. Data Science: Statistics and Machine Learning Specialization – Coursera

    Data Science- Statistics and Machine Learning Specialization – Coursera

    The online certification course is a specialization offered by Johns Hopkins University on the Coursera platform. The goals of this course are to equip the learners with regression analysis, the development of public data products, building prediction functions, and mastering the concepts on scientific truths of the data. Each module consists of a hands-on assignment. At the end of the course, the learners are required to complete the final capstone project.

    The course contents are highlighted below:

    • Statistical Inference
    • Regression Models
    • Practical Machine Learning
    • Developing Data Products
    • Data Science Capstone

    Level: Intermediate

    Duration: 6 months

    Related Reading: Coursera Review – Is Coursera Worth It?

    5. MicroMasters Program in Statistics and Data Science – MIT – edX

    The online course is offered by MIT which is one of the top-tier institutes in the world. The course is available on the edX platform. The primary aim of the course is to allow learners to understand the foundations of data science, statistics, and machine learning.

    Some of the key concepts that will be covered in this course are the big data analysis for data-driven predictions, probabilistic modeling, statistical inference, identification and deployment of models, related methodologies, development of machine learning algorithms, the difference between structured and unstructured data, and the essentials of machine learning such as supervised and unsupervised methods and neural networks.

    The course curriculum is listed in the following section.

    • Probability: The Science of Uncertainty and Data
    • Fundamentals of Statistics
    • Machine Learning with Python: From Linear Models to Deep Learning
    • Capstone (Select one of the topics: Data Analysis in Social Science

    Level: Beginner

    Duration: 1 year 2 months

    6. Python for Data Science – UC San Diego – edX

    The certification course is offered by UC San Diego and delivered on the edX platform. The learners will be introduced to the open-source tools, essentials of Python programming language, and its tools such as Pandas, Git, and Matplotlib, learn to manipulate, analyze, and visualize complex data. The course is a self-paced computer science course that lets you get an in-depth experience with the tools and learn to explore datasets to succeed as a data scientist.

    Level: Advanced

    Duration: 10 weeks

    7. MicroMasters Program in Analytics: Essential Tools and Methods – Georgia Tech – edX

    MicroMasters Program in Analytics- Essential Tools and Methods

    This certificate course is offered by one of the most prestigious institutions in the world. The course is designed by Georgia Tech and delivered on the edX platform. The course focuses on important tools for data analysis with the likes of R, Python, SQL, etc. Among the concepts that are covered in the course are the fundamental models and methods for performing analytics and usage.

    The learners will also gain insight into building a data analysis pipeline and the key components associated with it like collection, storage, and visualization of data. The course will also enable the learners to use their analytical skills in a business context.

    The modules of the course are.

    • Introduction to Analytics Modeling
    • Computing for Data Analysis
    • Data Analytics for Business

    Level: Beginner

    Duration: 1 year

    8. Python for Data Science and Machine Learning Bootcamp – Udemy

    Python for Data Science and Machine Learning Bootcamp – Udemy

    The program is a beginners’ data science course that is offered on Udemy. It is offered in a boot camp format. This is a comprehensive course on data science and it has garnered a lot of positive reviews from learners.

    The key takeaways from the course is a refined understanding and knowledge of using python for data science and machine learning, implementation of machine learning algorithms, use of libraries such as Pandas, SciKit learn, Seaborn for statistical plotting, random forests, logistic regression, spark for big data analysis, NumPy, dynamic visualization, K-Means clustering, linear regression, support vector machine and natural language processing and spam filters.

    The modules of the course are divided into two components that are as follows:

    • Course Introduction
    • Environmental Set-Up
    • Jupyter Overview
    • Python Crash Course
    • Python for Data Analysis with NumPy, Pandas, Matplotlib, Seaborn, built-in visualization, cufflinks, geographical plotting
    • Capstone Project
    • Introduction to Machine Learning
    • Linear Regression
    • Cross-Validation and Bias Variance Trade-off
    • Logistic Regression
    • K Nearest Neighbors
    • Decision Tree
    • Random Forest
    • Support Vector Machine
    • K Means Clustering
    • Principal Component Analysis
    • Recommender Systems
    • Natural Language Processing
    • Neural Nets and Deep Learning
    • Big Data and Spark with Python

    Level: Beginner

    Duration: 25 hours on-demand video (Self-Paced Program) and Full Lifetime Access

    9. Data Scientist Course – Udacity

    The course is among the several courses that are offered by the school of data science on the Udacity platform. The course lets learners gain real-world data science experience by working on projects that are designed by industry professionals.

    Some of the key areas are running a data pipeline, design experiments, building a recommendation system, and its deployment to the cloud. There are a few prerequisites for the course such as familiarity with machine learning concepts, python programming fundamentals, and probability and statistics.

    The course modules are.

    Solving Data Science Problems

    The first module covers the data science process that is inclusive of effective data visualization techniques and how to communicate with various stakeholders. 

    Software Engineering for Data Scientists

    The module focuses on developing the software skills that are essential for a data scientist to be successful such as the creation of unit tests and building of classes.

    Data Engineering for Data Scientists

    The learners can build a solid understanding of working with data within a data science process with the likes of running pipelines, transforming the data, building appropriate models, and deploying the solutions to the cloud server.

    Experiment Design and Recommendations

    This unique module will allow learners to design experiments and analyze them through A/B test results and explore various approaches that are available for building an effective recommendation system.

    Data Science Projects

    The final module expects students to build their data science project based on all the concepts that are covered in the entire program.

    Level: Intermediate

    Duration: 4 months

    10. Become a Data Engineer – Udacity

    This is among the best online courses in Data Science. It is offered on the Udacity platform. The course is focused on the aspects of data engineering and its key elements. The course introduces the fundamentals of data engineering and the concepts of how to build a production-ready data infrastructure.

    Some of the concepts that will be covered are designing data models, data warehouse, data lakes, and automation of data pipelines. The learners will also be able to work with large datasets for more insights. At the end of the course, there is a capstone project that needs to be completed. The prerequisite of the course is the knowledge of Python and SQL.

    The course syllabus is as follows.

    • Data Modeling
    • Cloud Data Warehouse
    • Spark and Data Lakes
    • Data Pipeline with Airflow
    • Capstone Project

    Level: Intermediate

    Duration: 5 months

    11. Machine Learning A-Z: Hands-On Python and R in Data Science – Udemy

    Machine Learning A-Z- Hands-On Python and R in Data Science (Udemy)

    A comprehensive course on data science that is delivered on Udemy. The course covers the essential concepts of machine learning with Python and R. The learners will be able to understand the process of making accurate predictions, building machine learning models, dimensionality reduction, business value of the machine learning models, reinforcement learning, natural language processing and deep learning.

    The course is designed by two professionals data scientists working in top organizations. The course comprises the right balance between complexity theory and practical aspects of data science. All the content of the course is continuously updated with new additions as per industry trends. The program comprises real-world examples and hands-on experience for each concept.

    The course curriculum involves the following contents.

    • Course Introduction
    • Data Preprocessing in Python
    • Data Preprocessing in R
    • Simple Linear Regression
    • Multiple Linear Regression
    • Polynomial Regression
    • Support Vector Regression
    • Decision Tree Regression
    • Random Forest Regression
    • Evaluating Regression Models Performance
    • Regression Model Selection in Python
    • Regression Model Selection in R
    • Logistic Regression
    • KNN
    • SVM Classification
    • Kernel SVM
    • Naïve Bayes
    • Decision Tree
    • Classification Model Selection
    • Evaluating Classification Model Performance
    • Clustering concepts with K-Means and Hierarchical Clustering
    • Apriori
    • Eclat
    • Reinforcement Learning
    • Thomson Sampling
    • Natural Language Processing
    • Deep Learning
    • ANN
    • CNN
    • PCA and LDA
    • Kernel PCA
    • Model Selection
    • XGBoost

    Level: Beginner

     Duration: Self-Paced

    12. Post Graduate Program in Data Science – Purdue University – Simplilearn

    Post Graduate Program in Data Science (Purdue University)

    The program in data science is offered by Purdue University and in collaboration with IBM. It is offered on Simplilearn. The course provides a broader exposure to the key components of data science today. The theoretical concepts and tools like Python, R, and machine learning are covered thoroughly. There are hands-on lab sessions and projects to work on within this program.

    The learners will gain alumni association membership and certification from Purdue University, 3 domains and 25 projects with the industry-relevant dataset, sessions from Purdue University faculty and IBM professionals, and hackathon access by IBM. The pre-requisites are a basic understanding of mathematics and programming concepts.

    The course curriculum is highlighted as follows.

    • R programming for Data Science
    • Python for Data Science
    • Machine Learning
    • Natural Language Processing
    • Tableau Training
    • Data Science Capstone
    • Electives: Academy Master Class (Purdue University), Industry Master Class (Data Science)

    Level: 2 years of work experience preferred

    Duration: 12 months

    13. Data Science Course Online in Collaboration with IBM – Intellipat

    Data Science Course Online in Collaboration with IBM – Intellipat

    The data science course introduces learners to the world of data analytics, and its related tools like R, statistical computing, and machine learning algorithms. The program involves hands-on experience in multiple domains such as banking, finance, etc.

    The course content is discussed below.

    Module 1: Introduction to Data Science with R

    Topics on data science, the significance of data science in the data-driven world, lifecycle, and its components. R programming and installation of R studio, implementation of mathematical operations, and R operators.

    Module 2: Data Exploration

    Introduction of data exploration, import, and export of data from an external source, data exploratory analysis, data frames, and its elements like vectors, factors and operators, in-built functions, and conditional statements. The hands-on exercise includes churning of data and the use of predefined functions in R.

    Module 3: Data Manipulation

    The need for data manipulation, packages, pipe operators, condition filters, etc. The hands-on exercise deals with performing operations for data manipulation.

    Module 4: Data Visualization

    Introduction to visualization, different types of graphs, multivariate analysis, univariate analysis, creating bar plots, frequency plots, scatter plots, co-ordinates and plotly and geographic visualization are some of the key concepts covered in the module. There is a data visualization exercise as well that needs the learners to understand the churn ratio and importing and analyzing data along with visualizing the examples.

    Module 5: Introduction to Statistics

    The need for statistics, categories of statistics and terminologies, correlation, covariation and normalization, hypothesis, ANOVA, chi-square testing. The practical example requires learners to build a statistical analysis model.

    Module 6: Machine Learning

    Key concepts of machine learning, linear regression, predictive modeling, p-value, logistic regression, confusion matrix, F-statistics are some of the concepts that are covered in this module. The hands-on experience assignment is to model the relationship within data using linear predictor functions and implementation of linear and logistic regression in R by building a model.

    Module 7: Logistic Regression

    Introduction to logistic regression, linear vs logistic regression, binomial model, true positives and false-positive rates, ROC plots, and cross-validation are some of the essentials in this module. The hands-on is targeted at implementing predictive analysis by data description, explaining the relationship between one dependent binary variable.

    Module 8: Decision Tree and Random Forest

    The module covers classification concepts and their techniques, introduction to decision trees, building a decision tree in R, confusion matrix, random forest in R, Naïve Bayes, concepts of impurity, entropy, gain. The implementation of the random forest for regression and classification, building a tree with pruning, and ROCR are needed for the hands-on assignment.

    Module 9: Unsupervised Learning

    Clustering and use cases, k-means clustering, hierarchical clustering, unsupervised learning, feature extraction, dendrograms, and PCA using R. The deployment of unsupervised learning with R and k-means clustering for visualization are covered for the hands-on work.

    Module 10: Association Rule Mining and Recommendation Engines

    The introduction to association rule mining, support, confidence, and apriori algorithm and its implementation in R. The introduction of recommendation engines, collaborative filtering, and recommendation engine use cases are covered in-depth. The hands-on assignment needs the learners to work on deploying association analysis and identification of strong rules for databases and the measure based on the discoveries.

    Modules 11-15 are self-paced content and cover the related concepts of artificial intelligence and some of the algorithms associated with it, time series analysis, support vector machine, Naïve Bayes, and Text mining.

    Level: Beginner

    Duration: 42 hours’ instructor-led training, 28 hours of self-paced videos, 56 hours of project work, and exercises (self-paced).


    The world of data science is vast and it continues to grow each year. For all the aspirants and professionals looking for a career in data science, the individuals must have a wide range of knowledge including the theoretical and practical aspects of the field.

    While the theory will allow us to understand important concepts and factors behind data, proficiency with coding and the tools will lead the career towards success.

    Today, every company is looking for professionals that have hands-on experience. It is to invest lesser time on cost-factors and time spent on training an individual. Therefore, it is advisable to continue learning and keep upgrading the skill set with the current trends in the industry.

    For all the aspiring data scientists, it is an opportune moment in the age of digitization to embark on a highly successful career in the field of data science.


    In digitization, the internet, smartphones, and other smart devices have become an integral part of people’s lives. Everything is just a few clicks away with a smartphone, from online shopping to banking and even ticket reservation.

    All of the facilities have become a reality due to devices and applications powered with a high-level programming language called Java.

    The concept of “write once, run anywhere” has made Java a strong contributor across platforms. Today, Java environments exist in Android OS for mobile applications and numerous web applications.

    With such a wide range of applicability, Java continues to be one of the most sought-after programming languages in the technology industry.

    Such demands have increased the number of jobs as Java developers, and it continues to sit at the top of the ladder as one of the highest paying job roles in the industry. Therefore, all the aspirants must have strong Java skills, and it is possible by opting for some of the best courses available on the e-learning platforms.

    1. Java Certification Training Course – SimpliLearn

    Java Certification Training Course – SimpliLearn

    The advanced java programming course is available on Simplilearn. The course is designed to guide the learners through the essential concepts of Java, beginning from introductory techniques to building advanced programming skills.

    The course also provides Core Java 8, operators, loops, methods, arrays and constructors, and hands-on experience with JDBC and Junit framework.

    The key features of the course are an extended 60 hours of applied learning, 35 coding-related exercises on core Java 8, lifetime access to self-paced learning contents, hands-on implementation on the web-based project during the course, and the flexibility to choose the classes and timings.

    Some the essential areas that are covered include:

    • Core Java 8 concepts
    • Java EE
    • Java Servlet
    • Hibernate and Spring frameworks
    • SOA and web services
    • Multithreading string handling exception handling techniques
    • J2EE HTTP protocol and HTML
    • The course curriculum includes the following content:
    • Introduction to Java EE
    • Servlets API, Interfaces, and Methods
    • Servlet Lifecycle
    • Configure and Deploy Servlet
    • ServletRequest and ServletResponse
    • Servlet Config and ServletContext
    • Servlet Scopes, Attributes, and Collaboration
    • Session Management
    • Listeners in Java EE
    • Filters in Java EE
    • Introduction to Hibernate
    • Hibernate Queries and Relationship
    • Introduction to Spring
    • Spring AOP
    • Spring JDBC and Spring Hibernate
    • Spring MVC, SOA, and Web Services
    • Free Course: Core Java

    Instructor: Industry Experts

    Level: Intermediate/ Advanced

    Video Lectures: 30 Video Lectures

    User Review: 4.6/5

    Price: Self-paced: $160, Online Bootcamp: $178

    2. Object-Oriented Programming in Java Specialization – Coursera

    Object-Oriented Programming in Java Specialization – Coursera

    This Java specialization course is among the top-rated online courses on the e-learning platform. The course is offered jointly by Duke University and UC San Diego on Coursera and is intended for software developers with some experience in programming languages such as Python or C.

    The learners will gain experience working in Java development environments like BlueJ and Eclipse and learn to program for creating the graphical user interface for applications.

    Additionally, the learners will understand how to design programs capable of managing large amounts of data.

    The course modules are:

    Java Programming: Solving Problems with Software

    • Edit, compile and run a Java program
    • Use conditionals and loops in a Java program
    • Use Java API documentation in writing programs.
    • Debug a Java program using the scientific method.
    • Write a Java method to solve a specific problem.
    • Develop a set of test cases as part of developing a program.
    • Create a class with multiple methods that work together to solve a problem.
    • Use divide-and-conquer design techniques for a program that uses multiple methods.

    Java Programming: Arrays, Lists, and Structured Data

    • Read and write data from/to files.
    • Solve problems involving data files.
    • Perform quantitative analyses of data.
    • Store and manipulate data in an array or ArrayList.
    • Combine multiple classes to solve more significant problems.
    • Use iterables and collections (including maps) in Java.

    Object-Oriented Programming in Java

    • Fundamentals of Object-Oriented Programming
    • Leverage existing libraries.
    • Building graphical user interface
    • Core algorithms for searching and sorting data.
    • Project

    Data Structures and Performance

    • Using and analyzing data structures.
    • Industry-level applications.
    • Linked lists, trees, and hash tables.
    • Understand how data structures make programs efficient and flexible.
    • Asymptotic Big-O analysis for performance evaluation of algorithms.
    • Evaluation of efficient strategies for data retrieval, the addition of new data, deletion of elements, and memory usage.

    Instructor: Owen Astrachan, Andrew D. Hilton, Mia Minnes, Christine Alvarado, Robert Duvall, Susan H. Rodger, and Leo Porter

    Level: Beginner

    Video Lectures: NA

    User Review: 4.7/5

    Price: Free Enrollment (Additional charges may be applicable for certification)

    3. Core Java Specialization by Learn Quest – CourseraCore Java Specialization by Learn Quest – Coursera

    The Core Java specialization course is part of a series of programming specializations offered by Learn Quest on Coursera. The course is offered to provide Java programming experience in corporate environments. 

    The learners are expected to have prior knowledge of the fundamentals of software development.  In this course, the learners will master the Java programming language and the packages that are part of its core libraries. The course also emphasizes providing adequate hands-on experience.

    The first module of the course introduces the fundamentals of Java, followed by the second module that provides important concepts on object-oriented programming and its application in Java and Java classes, instances, and packaging.

    The third module focuses on applying OOP concepts in Java, including inheritance and polymorphism.

    The final module provides the concepts of Java SE class library, generic collections,

    Java Streams and I/O exceptions, annotations, and Enums. Several additional topics, such as database connectivity in Java, are covered in more excellent detail. On completion of the capstone project, the learners will be eligible for obtaining their software developer certificate.

    The course modules are:

    • Introduction to Java
    • Introduction to Object-Oriented Programming with Java
    • Object-Oriented Hierarchies in Java
    • Java Class Library

    Instructor: Noel J. Bergman and Evan Bergman

    Level: Intermediate

    Video Lectures: NA

    User Review: 4.7/5

    Price: Free Enrollment (Additional charges may be applicable for certification)

    4. Become a Java Programmer: Nanodegree Program – Udacity

    The course is offered on the Udacity platform. The nano degree program is similar to a specialization program on other platforms. The course is focused on providing the essential concepts to elevate the Java skills of the learners.

    The fundamentals skills used by Java developers for coding, testing, and deployment are explored in-depth.

    The course is ideal for beginners with little or no Java experience. There is a simple prerequisite for the course: having prior experience with basic programming concepts like variables, loops, conditionals, arrays, and methods.

    The certificate program offers a real-world project to build hands-on experience, along with technical mentor support and career services.

    The learners are also provided with project feedback from experienced reviewers and a GitHub review.

    The course modules are:

    Java Fundamentals

    • Introduction to fundamental concepts
    • Best Practices of Java programming
    • Basic OOP concepts such as encapsulation and inheritance.
    • Java concepts such as collections, exceptions, and Java types

    Advanced Java Programming Techniques

    • Software Design
    • Modern language features
    • Lesser known features of Java
    • Functional programming, I/O serialization, and reflection
    • Design ideas for strengthening your software design
    • Designing an extensible and scalable software system
    • Basic concepts and techniques of concurrent programming in Java for modern and multi-core hardware systems

    Java Application Development

    • Java ecosystem
    • Production-ready applications
    • Java code compilation, packaging, and execution
    • Maven for automation and customization of the build process
    • Manage external project dependencies
    • Modules in Java 9
    • Tools for Junit 5 for unit tests and evaluating code coverage
    • Mockito library and test doubles for expanding the testing capabilities of complex applications

    Instructor: Jeff Phillips, Dustin Hellstern, and Alex Pritchard

    Level: Beginner/ Intermediate

    Video Lectures: NA

    User Review: NA

    Price: 3 Month Access: $798 Approximately, Per Month: $311

    5. Become a Java Web Developer Nanodegree Program – Udacity

    The course is offered on the online learning platform – Udacity. The course covers the concepts of enterprise-level and scalable back-end development using Java. It is a 4-month duration course that provides the basic training for building the programming experience for back-end development in a large enterprise environment. 

    The prerequisites for the course include prior web development experience but not mandatory.  Also, the learners are expected to have familiarity with concepts like initialize, primitive Java data types, select and use collections using Java. Util. Collections, designing and creating classes and class methods using Java, creating interfaces and subclasses in Java, launching Java applications from an IDE, and basic understanding of SQL queries.

    The course curriculum includes:

    • Spring Boot Basics
    • Web Services and APIs
    • Data Stores and Persistence
    • Security and DevOps

    Instructor: Kesha Williams, Sareeta Panda, Peter Zastoupil, and Alex Pritchard

    Level: Intermediate

    Video Lectures: NA

    User Review: 4.3/5

    Price: 3 Month Access: $1064 Approximately, Per Month: $311

    6. Java EE 7 Fundamentals – Pluralsight

    The course is available on the Pluralsight platform. This course is a code-focused course that introduces how to build a complete application using Java EE 7 specification.

    The learners will understand how the Java EE platform functions, its history, and its uses in modern platforms. The primary concepts of building a web application in Java EE and interoperate Java EE applications with external services are covered in-depth. Finally, the architectural concepts and best practices when building a Java EE application are explored in the course.

    By the end of the course, the learners will have a solid foundation for building their applications and tackle any developmental environment challenges. 

    The course modules are:

    Course Overview

    • Introduction
    • Today’s Applications
    • What is wrong with developing with Java SE?
    • Java EE

    Understanding Java EE

    • Introduction
    • What is an Enterprise application?
    • What is Java EE?
    • Standard
    • Java EE specification

    Creating a Common Application Tier

    • Injection
    • Understanding CDI
    • Dependency Injection
    • Using Qualifiers
    • Defining Context
    • Interception
    • Intercepting calls
    • Validation and Bean validation
    • Built-in constraints

    Addressing Business Concerns

    • Persistence
    • Understanding JPA
    • Mapping and querying entities
    • Java persistence query language
    • Transaction
    • Understanding JTA
    • Managing Transactions
    • Batch processing
    • Understanding JBatch

    Implementing Web Applications

    • Servlets
    • Processing a request
    • Web pages
    • Understanding JSF
    • Writing JSF pages
    • Web Sockets

    Interoperating with external services

    • XML and JSON
    • Processing and binding
    • REST web services
    • JAX-RS
    • Exposing and consuming REST services
    • Messaging
    • JMS

    Putting it all together

    • Modularity and Flexibility
    • Summary

    Instructor: Antonio Goncalves

    Level: Beginner

    Video Lectures: NA

    User Review: 4.7/5

    Price: Free 10-day trial (Charges apply after trial period. Price available on sign up)

    7. Java from Beginner to Expert – Skillshare

    Java from Beginner to Expert – Skillshare

    The Java programming course is designed for beginners without any prior experience in programming. It is offered on the Skillshare platform. The course covers the topics on advanced components of the Java language and also introduces all the fundamentals from scratch.

    By the end of the course, the learners will gain experience working with Java to build Android applications.

    The course also provides hands-on experience by working on projects such as creating a class for representing a bottle with properties like the amount of current water and capacity of the bottle.

    There are a total of three projects in the course.

    The course curriculum includes:

    • Introduction
    • What is Java?
    • Downloading and installing IDE and JDK 13
    • Comments
    • Basics
    • Shortcuts
    • Variables
    • Naming conventions
    • Casting
    • Arithmetic operators
    • Relational Operators
    •  Logical Operators
    • Bitwise Operators 
    • Conditional Statements
    • Switch
    • Conditional Expression
    • Arrays 
    • Multidimensional Arrays
    •  Loops
    • Break and continue 
    • Summing many values 
    • Object-Oriented Programming Overview
    • Constructors
    • Methods
    • Overloading methods
    • Static keyword 
    • Packages
    • Encapsulation
    • References
    • Comparing Strings
    • Bottle
    • Inheritance
    • Polymorphism
    • Protected modification
    • Abstract classes and methods
    • Object class – equals 
    • Final keyword
    • What are interfaces? 
    • Sorting using interfaces
    • Nested Class 
    • Anonymous classes  
    • Aggregation
    • Lambda
    • Documentation
    • Default Method        
    • BONUS: wild cards
    • BONUS BASICS OF ANDROID: Downloading and installing Android Studio  
    • Creating your first Android Studio project 
    • How to change the theme in Android Studio?  
    • What is SDK?
    • How to update Android Studio?
    • AVD – emulating virtual device  
    • What is XML, and how is it related to Android apps?
    • Activity and Views
    • Listeners – handling events
    • Faster button event handling
    • Layouts
    • Summary

    Instructor: Arkadiusz Włodarczyk

    Level: Beginner

    Video Lectures: 77 Video Lectures

    User Review: NA

    Price: Free

    8. Java Programming Fundamentals – edX

    Java Programming Fundamentals – edX

    Galileo University offers the course on the edX platform and it’s intended for people with prior programming knowledge. The course provides learners with the essential skills and knowledge on Java and covers advanced concepts on solving programming problems. For loops, conditional statements, recursive algorithms, and OOP concepts are explored in detail.

    By the end of the course, the learners will have a clear understanding of the OOP paradigm’s primary mechanism and classes, interfaces, inheritance, and polymorphism.

    Additionally, the learners can understand how to develop programs using conditions and loops and implement recursive algorithms.

    Finally, the writing and compilation of Java applications and the networking interfaces for communicating with other programs will be one area of expertise.

    The course modules include:

    Lesson 01 – Java Overview


    • Java Overview
    • Installing the tools (JDK, JRE, IntelliJ)
    • Java Basics
    • Operators
    • Control Flow
    • Classes, objects, and methods

    Lesson 02 – Java

    • Basics
    • Introduction
    • Memory Areas
    • Java Garbage Collection Types
    • Package
    • Access Control
    • Interfaces
    • Inheritance
    • Polymorphism

    Lesson 03 Useful

    • Libraries
    • Data structures
    • Generics
    • SOLID Principles
    • Files and I/O

    Lesson 04 Functional and Concurrences

    • Immutable Objects
    • Annotations
    • Lambda expressions
    • Functional Interfaces
    • Concurrency and Threads Review
    • Exception Handling
    • Extended content

    Lesson 05 Exchange Information

    • Networking and Communication
    • Data serialization
    • Mini- Project
    • Final proctored exam

    Instructor: Jorge Vargas and Victor Orozco

    Level: Intermediate

    Video Lectures: NA

    User Review: NA

    Price: Free enrollment (Additional $48 for certification)

    9. Professional Certificate in Introduction to Object-Oriented Programming with Java – edX

    Professional Certificate in Introduction to Object-Oriented Programming with Java – edX

    The course is provided by Georgia Tech- a top-tier institution for education. It is available on the edX platform. The course is a 5-month duration course and focuses on building the foundations of the Java programming language.

    The learners will have a thorough understanding of OOP concepts and algorithms, followed by creating and using exceptions, data structures, Recursion, and GUIs.

    The course modules are:

    Introduction to Object-Oriented Programming with Java I: Foundations and Basics

    • History of Java
    • Basic elements of Java
    • Execution of Java programs
    • Solutions in terms of classes and objects
    • Whitespace, commenting, errors and variables
    • Creating objects of existing classes
    • Create objects and invoke methods of the String class
    • Inputs from the terminal
    • Formatting requirements for text printed to the terminal
    • Decision-making statements (if, if-else, switch)
    • Iteration statements (while, do-while, for)
    • One- and two-dimensional arrays
    • Learn how to access, change, traverse, and search for data in arrays
    • Explore modularity and reusability in the context of methods
    • Learn how to define static methods
    • Understand when and how to overload methods

    Introduction to Object-Oriented Programming with Java II: Object-Oriented Programming and Algorithms

    • Instantiable classes
    • Write and Implement accessor and mutator methods
    • Constructor overloading and chaining
    • Method overloading
    • Subclasses and predefined custom classes
    • Override methods
    • Inheritance and overriding
    • Abstract class uses
    • Define an Interface
    • Implementing interface
    • Need for generic types
    • Steps for the selection, insertion, and merge sort algorithms
    • Steps for the linear and binary search algorithms
    • Use Big O notation to compare two algorithms based on their runtimes
    • Writing interfaces with constants, default methods, static methods, and inheritance relationships
    • Explore the basics of UML class diagrams
    • Polymorphism at compile time and runtime

    Introduction to Object-Oriented Programming with Java III: Exceptions, Data Structures, Recursion, and GUIs

    • Benefits of exceptions vs. built-in error checks
    • Handling exceptions
    • Read and write simple texts from Java
    • Distinguish a checked exception from an unchecked
    • Creating ArrayLists and LinkedList
    • Difference between array-based data structures and link-based ones
    • The base case, reduction step, and recursive call in recursive solutions
    • Model the call stack during the execution of a recursive method
    • Developing JavaFX scene with a basic layout and controls
    • Attach event handlers to controls and bring life to the scene
    • Package the scene and event handlers into a Java application

    Instructor: Olufisayo Omojokun

    Level: Beginner/Intermediate

    Video Lectures: NA

    User Review: NA

    Price: $533 approximately

    10. Introduction to Java Programming: Starting to Code in Java – edX

    Introduction to Java Programming- Starting to Code in Java – edX

    The course is offered by Universidad Carlos III de Madrid on edX. The course introduces Java programming and powerful concepts like functional abstraction, OOP paradigm, and application programming interfaces.

    The course also provides case studies and practical examples to build upon the programming knowledge. There is a strong emphasis on immediate feedback and having an interactive experience with the course.

    The takeaway from this course are:

    • The knowledge of algorithms and Java programming
    • Developing programs with conditionals and loops
    • Designing and implementation of the recursive algorithm
    • Understanding the primary mechanism of the OOP paradigm
    • Using the API of most common Java classes
    • Developing programs using Java

    Lesson 1: From the Calculator to the Computer

    Basic programming concepts, such as values and expressions, and making decisions for implementing algorithms and developing programs.

    Lesson 2: State Transformation

    Introduction of state transformation, including representation of data and programs as well as conditional repetition.

    Lesson 3: Functional Abstraction

    Organization of code in a program through methods used to invoke and complete a task and return a result as an answer. The concept of Recursion is also covered in this module.

    Lesson 4: Object Encapsulation

    Object-oriented programming (OOP) paradigm for complex programs using objects and classes. Also, the concept of inheritance and reusability of code and the importance of simplifying Java programs are covered.

    Lesson 5: Packaging

    Reusability of code using third-party classes and understanding how to reduce the number of lines of code in a Java program.

    Instructor: Carlos Delgado Kloos, Carmen Fernandez, Iria Estevez-Ayres and Jorge Blasco

    Level: Introductory

    Video Lectures: NA

    User Review: NA

    Price: Free enrollment (Additional $147 for certification)


    A significant number of things that people use in their daily lives are connected to Java. Java is ubiquitous due to its existence ranging from data centers, telecom technologies, technical industry, supercomputers to gaming consoles, and even mobile devices and the internet.

    Java programming continues to remain one of the leading technologies in the industry today. With such high uses of Java, there is a constant demand for Java developers in the market. Java continues to be the foundation for a lot of technical innovations that have surfaced in the industry.

    According to recent salary trends by Indeed, the average salary for a Java developer is $103,392 per year in the United States, along with a $5000 cash bonus every year.

    Another salary trend by Glassdoor suggests that the salary range can go as high as $117,000 yearly. The salary range can vary as per the experience, certifications, education, and skills. Therefore, it becomes essential to opt for a certification course for all individuals aiming to have a career as Java developers.

    There are numerous top Java developers, and the competition continues to increase in the market. Therefore, all individuals must select a course that offers theoretical knowledge and plenty of exposure to hands-on experience.

    The article highlighted some of the top courses to develop the skills to become one of the top-rate Java developers in the industry.


    In today’s date and age, accessing learning material and gaining new job skills is easy to do. There are all kinds of learning solutions available online, with more colleges and universities than ever beginning to offer alternative learning paths for motivated (yet remotely-located) students. 

    You don’t have to enroll full-time at a college or university in order to access these opportunities, either. In fact, there are plenty of online learning platforms that you can look into to take courses in relevant skills and subjects no matter where you live-  or how much money you have. From Coursera to Udemy, you’ll find plenty of online learning courses to help you meet your professional and personal goals.

    One of these online learning platforms is the LinkedIn Learning platform. In this LinkedIn Learning review, we will tell you everything you need to know about this unique online course provider.


    What is LinkedIn Learning?

    LinkedIn Learning is one of the country’s top providers of online learning solutions and professional development opportunities. Whether you’re an individual hoping to pick up a few skills here or there or an organization looking to expand your employees’ access to professional development opportunities and new skills, LinkedIn Learning has the resources you need for today – and for tomorrow.

    The platform features more than 16,000 courses taught by experts with real-world experience. You’ll find more than 50 brand-new classes offered each and every week with more classes constantly being added. The course library is, in fact, kept up to date with the most in-demand skills and content that you need to know.

    Sign up for a LinkedIn Learning subscription, and you’ll join a network of more than 600 million follow members. You’ll receive personalized recommendations for courses that will help to connect you with the most relevant online learning solutions and resources for your needs and goals.


    How Does LinkedIn Learning Work?

    LinkedIn Learning offers students three primary ways to learn.

    You can learn by subject, which will enable you to gain experience in a specific skill set. You can select a topic and pick classes that revolve around that area of interest.

    You can also gain skills in software, which is vital for all kinds of industries. You can even pursue a Learning Path, which is a feature that is unique to LinkedIn Learning. 

    With Learning Paths, you’ll gain the skills necessary to transition into a new field. You can select a path and gain access to a structured learning experience based on that path, rather than having to wade through the thousands of courses listed on the platform. 

    An example? If you want to learn new skills in digital marketing, for example, you’ll start by taking a class in online marketing foundations before moving on to those in Google Analytics, growth hacking, content marketing foundations, and other related and more advanced topics.


    Features and Functionality

    There are several key features of LinkedIn Learning that set it apart from other platforms. Here are some of the best.

     LinkedIn Learning Course Features

    Ease of Access & Functionality

    Already have a LinkedIn account? That’s great! You won’t have to do a single thing when it comes to filling out your profile and registering for LinkedIn learning. You’ll just have to register and pay the fees, if you progress past the free trial. After that, you can access all LinkedIn Learning features that you might want. You’ll find that everything is formatted quite similarly to the regular LinkedIn platform, too.


    Course and Video Features

    LinkedIn Learning has several courses and video features that are incredibly beneficial for all subscribers. 

    One is the certificate of completion feature. Every course, regardless of the category or your own skill level, comes with a certificate of completion at the end. This is a great way to showcase to prospective employers that you really know your stuff.

    You’ll also be able to access things like exercise files, notes, and assessments. Exercise files are perfect for helping you gain mastery of a subject, as you’ll be able to practice the skills taught in the class in a more hands-on way. Notes are beneficial because you can take digital notes as you move along in a course so that you can reference them later on.

    Assessments are beneficial because you can take these at the end of each individual section in the course. You’ll know exactly when it’s time to move on to a new module based on what you’ve accomplished so far. 

    You’ll also have access to learning paths and saved courses. Learning paths are unique to LinkedIn Learning and will allow you to take classes in a certain progression if you want to gain mastery of a certain larger topic. You can also save courses and return to them later on so that you don’t lose track of what you wanted to do.

    If you’re looking to read a few LinkedIn Learning honest reviews, then don’t worry – you’ll also be able to access helpful review sections where you can read feedback given from other students. This is particularly beneficial in helping you to decide whether a course will mesh well with your unique learning goals.

    Similarly, LinkedIn Learning has a helpful Q&A section where you can ask questions of fellow students and the instructor. This is a great way to learn more about a topic or to clear up any areas of confusion that you might have.


    Support Services

    There are all kinds of ways you can get help if you find that you are having trouble with LinkedIn Learning.

    The best place to start is with the Learning Help Center, which will include answers to some of the most commonly asked questions. You can also reach out to support by signing in or creating a help ticket, too.


    Learner History

    LinkedIn Learning offers students a great way to keep track of their professional growth. With the learner history feature, you’ll be able to access a list of the courses you have watched in the past. The beauty of this system is that, if you are an individual LinkedIn Learning subscriber migrating from the original platform, Lynda.com, all of your data can be transferred to LinkedIn Learning.

    Not only that, but you can search, view, save, and share courses with the platform, too. This is a fun way for you to keep in touch with your professional network both on and off the platform. LinkedIn Learning will even provide you with recommendations of skills you might be interested in and other recommendations, too.


    What Type of Classes are Offered on LinkedIn Learning?

    With LinkedIn Learning, you can take classes in just about anything. From project management to JavaScript, HTML to body language, LinkedIn Learning is the place to go. 

    For the most part, courses are offered in three categories – business, technology, and creative pursuits. In the business category, you might take classes in things like leadership development or soft skills training. In technology, you may build your skills in hardware or software programming. And in the creative category, you’ll likely gain the skills necessary to help you become more adept with design and other skills.



    How to Choose Courses

    To get started with LinkedIn Learning, you will need to first register for an account. This is the same registration process that you would follow if you were making an account for a general LinkedIn profile as well, so you might already be familiar with the process 

    Once you have created an account, you will be able to select from a general list of skills of those that interest you most. For example, you might select options like “writing,” “marketing,” “public relations,” or “Microsoft Office.”

    After you have selected your skills, the platform will give you a list of course recommendations that correlate with the interests and skills you’ve indicated.

    If you’d rather be more autonomous in the selection of your classes, you do have another option. You can discover courses based on browsing through various fields. LinkedIn Learning has three basic categories – creative, business, and technology. You can also look at classes that are trending as well as those that are listed as “top liked” to give you an idea of what kinds of courses other students are taking.

    You can even search directly if you know exactly what you want to get out of the platform. There’s a convenient search tool that will enable you to search by the exact name of the course.


    What’s the Price/Cost of LinkedIn Learning?

    LinkedIn Learning Pricing

    LinkedIn Learning, like most other online course platforms, has several different pricing structures for you to consider.

    As with similar platforms, you can sign up for a free trial to get started. This will help you get an idea of whether the platform is one you’d like to pursue, or whether you’d prefer to move to a different online learning platform to complete your courses.

    Although LinkedIn Learning is not the cheapest platform you’ll find, it’s definitely not the most expensive – nor does it even remotely come close to the price of registering for a class at a college or university.

    At $29.99 per month, the cost of a LinkedIn membership is relatively affordable, particularly if you plan on taking multiple classes every month. In addition to a monthly rate (which is free the first month with the trial program), LinkedIn Learning also features an annual rate that allows you to save the cost of a subscription. With this plan, you’ll pay $19.99 per month, but you must pay all at once for the entire year.

    You can cancel at any time if you decide to move to another platform, or if you merely decide that online learning is not right for you.


    The Advantages (Pros) of LinkedIn Learning


    Integrated with LinkedIn Accounts

    If you already have a LinkedIn account, you’ll love using LinkedIn Learning because everything is set up and designed in a similar fashion. The platform has access to your job profile, skills, areas of expertise, and subjects of interest, so you’ll find that courses are automatically recommended based on this profile. You’ll have to do less work when it comes to finding relevant courses.


    Free Trial Available

    One of the best features of LinkedIn Learning is the availability of a free trial program. This is the absolute best way for you to get an idea of whether a course or course platform is right for you before you commit. You don’t have to pay a cent if you decide, after the first month, that LinkedIn Learning isn’t right for you.


    Accessible and Relevant Courses

    With LinkedIn Learning, you’ll have access to more than 10,000 different expert-led courses. These courses are integrative and hands-on and can be completed from any device, including a phone or a computer. In most cases, you can even download your courses so that you can view and complete them offline, while you’re on the go.

    In addition to personalized course recommendations from the platform, you will also be able to assess your progress with quizzes while you complete each individual course. Although the quizzes aren’t graded, they offer a good way for you to keep track of how well you are doing and whether you have achieved the listed course objectives. 

    Beyond the quizzes, there are plenty of other resources that can be found in each course on this platform. For example, you’ll earn a certificate when you complete a course. Granted, this kind of course completion is not credit-bearing in any way, and the certificate won’t always help you in your job search. But in many cases, the certificate can be a good way for you to demonstrate to potential employers that you really know your stuff and that you have gone out of your way to learn new skills.

    There are project files you can access while you learn, too. These project files are tools and activities that you can view or complete while you’re working on a course to help you truly master the content. After all, the best way to learn is by actually doing!

    You will also be able to access LinkedIn’s premium career features, something that can be invaluable as you are searching for a job.


    The Disadvantages (Cons) of LinkedIn Learning


    Short, Introductory Courses

    One of the primary disadvantages of LinkedIn Learning is that courses tend to be short and targeted for beginners who are at a more introductory level. If you want to gain a more advanced knowledge of a topic, you would be better off signing up for a course offered by a university. LinkedIn Learning provides more of an overview or skim rather than a detailed experience.


    Some Material is Not Up To Date

    Some LinkedIn premium students have complained that the platform does not offer students any way to know how old a course is before deciding to take it. That might not be a problem at face value, but when you consider that some material is time-sensitive, it might make you think twice. 

    For some fields, it might not make a huge difference. Chances are, if you are taking a creative writing class, there’s not much that will change from one year to the next. For skills related to technology or business, though, it might be more imperative that you take a recently-launched course.


    Too Many Courses?

    Although it might seem impossible, the reality is that, when taking classes with LinkedIn Learning, you might have too much of a good thing. LinkedIn Learning has so many classes to choose from that it can be somewhat overwhelming when it comes to choosing the right ones.

    This challenge is amplified when you realize that not all courses on LinkedIn Learning are equally awesome, either. Some are taught by instructors who might not have the best teaching style – or perhaps a teaching style that doesn’t mesh with your goals and preferences – while others are taught by individuals who proclaim to (but may actually not) know much about the topic at hand.


    Ungraded Material

    A complaint frequently echoed among LinkedIn Learning subscribers is that you will not receive a grade for your work after completing various modules within a course. Although this makes sense, given that LinkedIn Learning does not provide students with grades at the end of the course or any kind of credential (like transferable course credit), it can be frustrating for some that you must pay for a membership and yet not get anything tangible at the end of the class.


    The Learner’s Perspective

    From a learner’s perspective, LinkedIn Learning has a whole lot to offer. Not only is this platform great for learning casual skills that will enrich your everyday life, but it’s also one of the best resources out there if you are searching for a job.

    Although the classes you can take on LinkedIn Learning are not credit-bearing, the beauty of them is that they connect to your LinkedIn profile so they can easily be displayed there and help to snag the attention of a recruiter or hiring manager. They’ll help you supercharge your resume and show that you are motivated and want to succeed.


    The Instructor’s Perspective

    Do you think you have what it takes to teach a class on LinkedIn Learning? From soft skills to software development, there’s likely a niche for everyone.

    The platform is just as beneficial to educators as it is to students, offering every LinkedIn Learning instructor a way to consolidate their material and get their wealth of knowledge out there to the public. You’ll be able to upload all kinds of materials, from PDFs to videos and links.

    You can even integrate digital resources into your curriculum, something that is unique for LinkedIn Learning as compared to other platforms. There are closed captioning and other accessibility services you can tap into, too, making this platform one of the best and most all-inclusive.

    LinkedIn Learning is best for experts, so if you’re new to your field, this might not be the best platform for you. As an instructor on LinkedIn Learning, you will be able to help students reach their personal and professional goals and make a little extra income. You do have to apply in order to become an instructor.  You’ll need to submit a maple movie and indicate what topics you are qualified to teach.



    Hopefully, this LinkedIn Learning courses review has been helpful in helping you decide whether a LinkedIn Learning subscription is right for you. While there are certainly areas where the LinkedIn Learning app could be improved, overall, this platform is one of the very best when it comes to making online learning a reality for all students.




    Is LinkedIn Learning Worth it?

    Whether you’re a serious or casual learner, LinkedIn Learning is absolutely worth the time and money you might invest in the platform. Whether you want to develop skills that you might need for a job search or just want to learn something fun, new, and exciting in your spare time, LinkedIn Learning is the way to go.


    Is LinkedIn Learning Legit?

    Is LinkedIn Learning legit? Absolutely. This platform is loaded to the brim with all kinds of educational material that is not only practical and useful, but also actionable and enjoyable to learn.


    You will find that the materials here are relevant for both beginning and intermediate learners. Although the focus is primarily on job skills, the skills that you acquire with a LinkedIn learning membership could very well help you to become more fluent in skills that you use in your day-to-day life and hobbies, too.


    Is LinkedIn Learning Free?

    LinkedIn Learning does offer a free membership trial, but after the one month has ended, it is no longer free. You will need to pay a monthly fee between $19.99 and $29.99, depending on the length of the subscription plan you choose.


    How Much Does LinkedIn Learning Cost?

    If you sign up for a monthly Premium subscription, you will pay $29.99, renewed automatically each month. If you would prefer to pay just once per year, you will need to pay $299.88 plus relevant taxes. This is a discount of approximately 33% and will cost you around $19.99 per month.


    What is a LinkedIn Learning Subscription?

    A LinkedIn Learning subscription will entitle you to all kinds of benefits via the platform. Not only will you be able to get recommendations for courses based on your interests and decision skills, but you can also add those courses to your LinkedIn profile to showcase them to potential employers.

    A LinkedIn Learning subscription goes hand in hand with other benefits. For example, you’ll not only be able to access interactive learning opportunities but you can learn how and when you want and gain full access to LinkedIn premium, where you’ll receive job and salary insights, unlimited profile viewing, InMail credits, and more.

    You’ll be billed on a monthly or annual basis, depending on the option you choose. Regardless of which one you select, your subscription will be renewed at the end of every month or the end of every year. Pay annually, and you’ll save up to 33% compared to monthly costs.

    You can always downgrade or cancel your subscription later on, too. Although LinkedIn does not offer refunds except in very rare situations, you can make changes to your plan at any time. Not only that, but as an employer, you can also pay for your employees’ subscriptions. After your purchase, you’ll get the receipt in your email and you can use it for filing expense reports.


    Are LinkedIn Learning Courses Good?

    LinkedIn Learning courses are good – and they’re definitely worth it. If you’re interested in spending a couple of hours each week on learning new skills or enhancing the ones you already have, it’s a solid investment that can benefit both you and your carer. As long as you are willing to do some research on your courses and your instructors, there really aren’t any drawbacks associated with the platform, either.


    Are LinkedIn Learning Courses Recognized & Accredited?

    Although most employers will view LinkedIn Learning courses as a solid badge of achievement on your resume when it comes to applying for jobs, they, unfortunately, are not accredited by any organization, nor are they formally recognized. You won’t be able to use them to transfer credits into a university or to help you get a job that requires a specific credential. However, taking LinkedIn Learning classes will enable you to get a leg up on the competition during your job search by providing you with skills that employers want to see the most.


    Can You Put LinkedIn Learning On Your Resume?

    Absolutely. In fact, that’s one of the biggest benefits of taking courses on LinkedIn Learning. When you take a LinkedIn Learning class, you’ll be able to add the course to your LinkedIn profile to showcase to prospective employers and to the rest of your LinkedIn network.



    In the digital age, the world has witnessed a massive transformation in the lives of people. On the professional front, communication, shopping, and even the payments systems have shifted into a digital space.

    With the advancement of technology, state-of-the-art technologies such as blockchain have been at the forefront of innovations. A new trend in the blockchain space is a cryptocurrency that has created a buzz across industries.

    Today, a significant percentage of people want to dive into this big pool of opportunity in the blockchain and cryptocurrency platform. Like any new technology and innovation, cryptocurrency has yet to be accepted in the mainstream scenario.

    However, with the rising interest and a new market with plenty of potential, now is the best period to invest in learning the evolving trend in the tech industry, namely cryptocurrency.

    There are several resources and online platforms that have put together the best experts to produce exceptional cryptocurrency courses. The article will explore the top ten courses worth investing your time in that can provide you career-boosting return and scope from its certification and knowledge shared from its contents.

    Related reading: Top 25 Blockchain Courses Worth Taking


    Best Cryptocurrency Courses (Top 10)


    1. Bitcoin and Cryptocurrencies – UC Berkeley – edX

    The online cryptocurrency course introduces the fundamentals of Bitcoin and cryptocurrency. The basic concepts of smart contracts, the Ethereum platform, and how to build a decentralized application are thoroughly covered in this course.

    The course is offered by UC Berkeley on the edX platform and it is designed by the premier computer science faculties of Berkeley. The course aims at providing an in-depth overview of cryptocurrency and blockchain technology.

    The primary concepts that an individual will be able to grasp with this course are:

    • The basics of centralized and decentralized currency, Bitcoin fundamentals including concepts on identity, transactions, record keeping, and consensus.
    • An overview of Bitcoin in the Cypherpunk movement, Libertarian ideals, and its significance.
    • The mechanics of Bitcoin covers topics on Bitcoin network, cryptography, hash functions. Bitcoin script etc.
    • Bitcoin wallets, wallet mechanism, transaction mining, and Bitcoin governance.
    • The concepts on the Bitcoin network and the possible network attacks.
    • The properties of Ethereum is a popular blockchain platform.

    Instructor: Rustie Lin, Mengyi Wang

    Level: Introductory

    Duration: 6 Weeks

    User Review: NA

    Price: FREE (optional upgrade available)


    2. Cryptocurrency and Disruption – London School of Economics and Political Science

    This online cryptocurrency course is offered by a prestigious institute, namely the London School of Economics and Political Science. The course offers the knowledge and the framework on blockchain technologies and cryptocurrencies.

    The contents are discussed below.

    • The operations and implications for business. The course will introduce concepts on theoretical frameworks and the technology and regulations associated with crypto assets and the cryptocurrency taxonomy.
    • Exploring the cryptocurrency markets, future of money, cryptocurrency infrastructure, ecosystem, wallets, and essential factors in the cryptocurrency markets such as trading decisions, trading strategies Cryptocurrency financial markets and the participants involved in it.
    • Economic uses of crypto-asset investment.
    • Cryptocurrency regulations and the risk associated with the cryptocurrency financial markets.
    • Cryptocurrency as methods of raising capital and in the context of innovations.

    Instructor: Industry expert

    Level: Introductory

    Duration: 6 weeks excluding orientation

    User Review: NA

    Price: NA

    3. Cryptocurrency – MIT Media Lab

    The course focuses on providing the knowledge and framework and deepens the understanding of cryptocurrencies from a business perspective as well. The course also explores blockchain technology and the value addition to an organization as well as how cryptocurrencies operate.

    The course is offered by MIT which is among the most prestigious institutions across the world. The certification holds industrial recognition as well.

    Some of the concepts that could be grasped from the course are:

    • The origins and evolution of money. How Bitcoin and blockchain technology has proven effective in solving the movement of payments on the digital platform.
    • Understanding the important concepts on smart contracts, decentralized applications, and the upcoming ways of crowdfunding, initial coin offerings, and the regulations for the operations.
    • The concepts on cryptocurrency markets, cryptocurrency exchange, the types of cryptocurrency trading, custody solutions.
    • Assessing a crypto project and understanding the economic viability. The module also explores the payment, platform sector, and the use cases on cryptocurrencies.
    • The response of financial institutions and central bands towards the emergence of cryptocurrency and blockchain technology innovations.
    • The challenges related to cryptocurrencies and the future of the technology as well as the internet of value that is an additional layer added on the top of the internet.

    Instructor: Gary Gensler, Neha Narula

    Level: Introductory

    Duration: 6 weeks excluding orientation

    User Review: NA

    Price: €2,352 EUR

    4. Blockchain Essentials Certificate – Cornell University

    The certificate series on blockchain essentials is provided by Cornell University. The course delves into blockchain technology, cryptography, and the related technologies in the field. The future of cryptography and blockchain. The course is taught by the experts of Cornell Tech.

    The concepts on the usage of cryptocurrencies and Bitcoin are covered and how it facilitates peer-to-peer digital transactions are explored thoroughly. The mechanics of Bitcoin-blockchain protocols, the problems that blockchain technologies aim to solve, and its support to achieve organizational goals are being touched upon as well.

    The course modules comprise the following.

    • Cryptocurrencies and Ledgers
    • Cryptography Essential.
    • Blockchain Fundamentals
    • Applications of Blockchain Technology

    Instructor: Ari Juels, Rafael Pass

    Level: Intermediate-Advanced

    Duration: 2 months 

    User Review: NA

    Price: NA

    5. Bitcoin and Cryptocurrency Technologies – Princeton University – Coursera

    Bitcoin and Cryptocurrency Technologies Coursera

    The course is offered by Princeton University on the Coursera platform. One of the primary aims of the course is to explain Bitcoin at a technical level. The concepts on what is bitcoin and how it works, how is bitcoin different, securing bitcoins and the anonymity of bitcoin users, determining factors of bitcoin price, regulation of cryptocurrencies and its future are some of the essentials of this course. Another concept that is important in the cryptocurrency platform is the interaction with the network which has been covered as well.

    The modules of the course are.

    • Introduction to Crypto and Cryptocurrencies
    • How Bitcoin Achieves Decentralization
    • Mechanics of Bitcoin
    • How to Store and Use Bitcoins
    • Bitcoin Mining
    • Bitcoin and Anonymity
    • Community, Politics, and Regulation
    • Alternative Mining Puzzles
    • Bitcoin as a Platform
    • Altcoins and the Cryptocurrency Ecosystem
    • The Future of Bitcoin

    Instructor: Arvind Narayanan

    Level: Introductory

    Duration: 23 hours (self-paced) with flexible deadlines and resetting deadlines as per schedule

    User Review: 4.7 (2502 reviews)

    Price: FREE

    6. Cryptocurrency and Blockchain: An Introduction to Digital Currencies – Wharton – Coursera

    Cryptocurrency and Blockchain- An Introduction to Digital Currencies Coursera

    The course is designed for individuals and organizations looking to understand the ways to navigate investment in cryptocurrencies. It is also a part of the specialization course on Fintech by Wharton. However, it is possible to take up this module as an individual course as well.

    The contents of the course will guide you through the concepts to develop a framework for cryptocurrency and blockchain. The analysis of digital signatures, blockchain technology in cryptocurrency, defining a currency, risk assessment of cryptocurrency in the modern investment portfolio is some of the important concepts that are covered in this course.

    The modules of the course that are offered are.

    • Introduction to Cryptocurrency
    • Rules and Structure of Bitcoin
    • Cryptocurrency as an Asset Class
    • The Blockchain Ecosystem

    Instructor: Jessica Wachter

    Level: Introductory

    Duration: 4 hours (self-paced)

    User Review: 4.6 (498 reviews)

    Price: FREE

    7. Cryptocurrency and Blockchain Technology Explained – University of Michigan – Futurelearn

    Cryptocurrency and Blockchain Technology Explained Futurelearn

    The course is offered by the University of Michigan on the Futurelearn platform. The topics that are offered in this course include an introduction to Fintech, an introduction to blockchain and cryptocurrency, blockchain as an asset, blockchain as a business.

    The learners will gain expertise on how blockchain works, the strength and weakness of cryptocurrency as an asset, the payment mechanism, technical requirements, decentralization, consensus algorithms, and blockchain as a business solution. The course is also a part of the Innovations in Fintech Expert Track.

    Instructor: Industry expert

    Level: Introductory

    Duration: 4 weeks

    User Review: 4.4 (60 reviews)

    Price: FREE 7 day trial

    8. Cryptocurrency Trading: Technical Analysis Masterclass 2020 – Udemy


    The course focuses on providing a comprehensive course on cryptocurrency. It is offered on the Udemy platform. The learners will be able to understand the concepts in the following areas.

    • The use of technical indicators and charts for trading cryptocurrencies.
    • Technical analysis for cryptocurrency trading in a profitable manner.
    • Use of levels, trend lines, and channels.
    • Identification of trend strength.
    • Reduction of risk and increasing profit by the use of advanced risk management strategies.
    • Trading with rectangle tops and bottoms.
    • Use of Fibonacci extensions for identifying potential.
    • Trading with the use of technical indicators and Fibonacci extension.
    • Use of Bollinger bands and determining market trends.
    • Determining stochastic oscillator to determine overbought and oversold conditions.

    Instructor: Wealthy Education

    Level: Introductory

    Duration: 5 hours (self-paced)

    User Review:

    Price: €119.99

    9. Certified Cryptocurrency Trader – Blockchain Council

    This a certified program by Blockchain Council. The program introduces the concepts that allow one to master the cryptocurrency market.

    The learners can learn technical analysis, candlesticks, blockchains, derivative trading, and the relevant investment strategies to be successful in the crypto market. The course is designed in a way that benefits beginners and experienced professionals.

    There is an inclusion of crypto trading with real money in CoinDCX, which is the official exchange partner of the blockchain council. The outcome of the course is to understand cryptocurrency trading analysis from scratch, financial market overview, the knowledge of the trading platform in detail, and the technological infrastructure of blockchain.

    The course certificate is industry-recognized and offers plenty of scope in the professional space. The modules in the course are.

    • Introduction to Blockchain
    • Introduction to Cryptocurrency and ICO
    • Top Cryptocurrency Analysis
    • Introduction to Crypto Mining
    • Stock Market and Crypto Market Compared
    • Risk Management and Market Psychology
    • Introduction to Crypto Exchange and Trade Process
    • Fundamental Analysis in Crypto Trading
    • Technical Analysis in Crypto Trading
    • Cryptonomics: Strategies for Crypto Trading
    • Derivatives: Crypto Futures
    • Derivatives: Crypto Options
    • Margin Trading and Lending
    • Legality and Taxation in Crypto
    • Crypto Scams 101: Avoiding the common pitfalls
    • Certified Cryptocurrency Trader Exam

    Instructor: Industry expert

    Level: Introductory

    Duration: 2 years

    User Review:

    Price: $149

    10. FinTech Ethics and Risks – University of Hong Kong – edX

    The course covers 6 modules with concepts covering the fundamentals of Fintech solutions globally, adoption of Fintech solutions, the best ways to introduce these technologies, blockchain technology, and blockchain technology governance. The course is offered on the edX platform by the University of Hong Kong.

    The risks involved and how technology helps prevent cybersecurity threats are covered as well. Finally, the role of artificial intelligence in Fintech mechanisms and the scope of Fintech in a decentralized space and its feasibility.

    The learners can benefit from the course and master the concepts in the following areas:

    • Ethical implications in finance and emerging technologies.
    • Identifying the trends and opportunities of Fintech.
    • The regulatory factors and enhancing supervision.
    • Payment solutions and the potential of ethical elements in finance.
    • Alternative financing and crowdfunding.
    • Peer-to-Peer lending activities in the financial market.
    • Expansion of Fintech and its pros and cons.

    The course curriculum consists of the following modules.

    Introduction: Ethics of Finance and Emerging Technologies

    The module focuses on the historical perspective concerning finance and the need for emerging technologies.

    Blockchain and Its Governance

    The module will explore the topics of introduction to Fintech, relevant and ethical ways of Fintech, its implementation, and the aspects of data collection, customer privacy, and transactional issues.

    Cybersecurity and Crimes

    The possibility of Fintech to aid in the monitoring and control of financial transactions and reduce financial frauds and cybersecurity threats. As the advanced tools can be used to hide corporate secrets and illegal works, the contribution of Fintech and its preventive solutions are discussed.

    AI and Fintech

    The contribution of combining emerging technologies to implement Fintech and the financial mechanism in the cryptocurrency space.

    Institutionalization vs Decentralization

    With the blockchain gaining popularity, the willingness of moving Fintech into the decentralized nature and democratization of finance. The participation of people in financial transactions through cryptocurrency, P2P lending, and its affordability are being discussed in the module.

    Big Questions Relating to Introduction of Fintech

    The final module dives into how Fintech can help and hurt society, its sustainable development, and how these technologies might cause problems in the financial markets.

    Instructor: David L. Bishop, David S. Lee

    Level: Introductory

    Duration: 6 weeks

    User Review:

    Price: FREE

    A Brief Overview of Cryptocurrency

    A look at the brief history of cryptocurrency and its usage will provide a more meaningful insight before diving into the best courses. Therefore, it brings to the most important question on what is cryptocurrency?

    Cryptocurrency came into existence in the form of Bitcoin in 2009. It was created by Satoshi Nakamoto with the idea of decentralizing the financial system. No form of banking authority is involved in the transactions.

    All the transactions are maintained through a network of computers that comprises the records. Although cryptocurrency comes with every aspect of traditional currency, it is termed as a digital currency that is powered by cryptography techniques.

    The Bitcoin cash is considered safe for online transactions as the entries of the digital tokens are available in the public ledger.

    The cryptocurrency operates through the use of blockchain technology with the means of decentralized storage and distributed ledgers that are encrypted to maintain the authenticity of the digital currency.

    The built-in security features enable tightening the security requirements; thus it is difficult to counterfeit the digital currency.

    As there are no financial authorities, the need for experts in the field of blockchain technology and cryptocurrency has increased over the years.

    The knowledge of cryptocurrency exchanges and Bitcoin, cryptocurrency wallets, cryptocurrency markets, and virtual transactions and the relevant techniques opens a wide range of career possibilities.

    The next sections highlight the best online courses for cryptocurrency that can develop the required skills to accelerate a career in this exciting field.


    Types of Available Cryptocurrencies

    Although Bitcoin is synonymous with the term cryptocurrency, there are several alternatives of cryptocurrencies and some of them are discussed in the following section.

    Ethereum (ETH)

    In recent times, Ethereum is gaining popularity. Ethereum is among the first alternatives to Bitcoin. It is a decentralized platform that allows for smart contracts and decentralized applications to be created and run without the need for any downtime. Ethereum offers fraud control and monitoring of any interference from third parties.

    The applications on an Ethereum platform have a cryptographic token called Ether. The token can be considered the most critical component for accessing around the platform. It is highly sought after by developers who are looking to develop applications inside the Ethereum platform.

    Today, Ether is among the largest digital currencies in the world in terms of market cap in the trading platform. The market cap of Ether stands at 1/10 that of the size of Bitcoin. which stands at Ethereum (ETH) had a market cap of $15.6 billion and a per token value of $142.54.4

    Ripple (XRP)

    Ripple is a real-time network for global settlements and instant and low-cost international payments. It was launched in 2012. The banks can use Ripple to settle territorial region-based payments in real-time that offers end to end transparency. Ripple has a consensus ledger that doesn’t require mining procedures.

    As all the Ripple digital tokens are pre-mined, hence there is no need for the creation of XRP but it requires the introduction and removal of XRP from the market supply chain as per the guidelines.

    The computing power and the network latency are subsequently lower as compared to bitcoin and several other altcoins. Ripple is popular in the cryptocurrency market and remains one of the most sought after digital currency. Its market cap of $9.2 billion and a per token value of $0.21.7 positions it as the third-largest cryptocurrency in the market today.

    Litecoin (LTC)

    Litecoin was launched in 2011. It follows in the similar footsteps of Bitcoin. It was created by an MIT graduate called Charlie Lee. Litecoin is open-source and allows to conduct the transaction in the global payment network. Litecoin is not controlled by any financial authority and involves a “scrypt” as proof of work.

    The scrypt can be decoded by consumer graded CPUs’. Litecoin is similar to Bitcoin but it has a faster block generation, therefore it can offer faster transaction possibilities. The developers deal with Litecoin and it is also popular among merchants. Litecoin has a market of $3.0 billion and a per token value of $46.92. However, it stands as the sixth largest cryptocurrency in the world.

    Tether (USDT)

    Tether was among the digital currencies that were created to tackle the volatility factors in Bitcoins. It is considered to be among the stablecoins. Tether looks to tackle the price fluctuations to attract users. It was launched in 2014 and was described as a blockchain-based platform that helps to facilitate the usage of fiat currencies digitally.

    The users can use a blockchain network and the associated technologies for performing transactions of traditional currencies and minimize the volatile and complex attributes associated with digital currencies. 

    Bitcoin Cash (BCH)

    Bitcoin Cash forms an important base for altcoins in the cryptocurrency market. It is considered one of the most successful hard forks of the original bitcoin. A fork in the cryptocurrency market means the results of the debates and arguments that take place between developers and miners. In a scenario, when the different factions involved in a transaction can’t agree, the digital currency is usually split.

    The original digital currency remains with its original code whereas the copied version works as a new version of the previous version with a wholesome change to its codes. Bitcoin Cash came into existence in 2017.

    To deal with the scalability and size limitations for the split, Bitcoin cash increases the block size from 1 MB to 8 MB as the larger blocks are used to process in a faster manner. Other changes were made to the segregated witness protocol that typically impacts the block space. 

    Libra (LIBRA)

    Libra is perhaps the most-hyped cryptocurrency in the market. The reason for the hype is due to the involvement of Facebook as its founder. Facebook has released a white paper for Libra. The Facebook subsidiary will be responsible for overseeing the operations related to Libra.

    EOS (EOS)

    EOS was launched in 2018. It was created by one of the pioneers in the cryptocurrency field called Dan Larimer. He was also responsible for founding the digital currency exchange called Bitshares. The social-media platform Stemit is also among its launches. EOS follows the design ideas of Ethereum.

    EOS platform allows the developers to build decentralized applications. EOS offers a platform that offers proof-of-stake and offers scalability. It also comprises an operating system that acts as the blockchain network for digital currency. 


    Cardano is used for sending and receiving digital funds. It is considered to be a balanced ecosystem for cryptocurrencies. It was founded by Charles Hoskinson who is also the co-founder of Ethereum. Cardano is driven by a research-oriented approach.


    The technical advancements are evolving rapidly and with it brings a lot of career opportunities in the job market. The professionals, especially in the tech industry must level up to keep up with the recent trends.

    Blockchain developers and experts are highly sought after in the job market. As blockchain forms an integral part of the cryptocurrency market, therefore the need for professionals with technical expertise and the know-how of the cryptocurrency market has massive scope to strengthen their careers in an emerging tech market.

    The importance of a certificate course that offers essential concepts of theoretical and practical knowledge is crucial. Another key point to note is the industrial recognition that it provides in the job market, therefore choosing among the several courses that are available on the online platform is difficult. The article aimed to provide some of the popular courses from industry experts and well-known institutions that will add value to the career of an individual.