Introduction
Python is a high-level object-oriented programming language with easy-to-read syntax and is simple to interpret. Today, Python is among the most popular programming languages because of its applicability for various tasks such as prototyping, scientific computing, web development, automation, and much more.Â
In addition, the versatility of Python programming has led to the use of Python for data science, machine learning tasks, data analysis, big data, and software development, and its scalability has a considerable appeal in the industry.
Tech industry giants such as Google, Facebook, and many more are dedicated users of Python. Moreover, with Python, many libraries speed up the development process and faster code review, support for multiple operating systems, and flexibility in integrating with other programming languages.Â
Therefore, aspiring developers and experienced professionals considering some of the top career choices such as artificial intelligence experts, data scientists, big data engineers, or Python developers must enhance their Python skillset to achieve a career boost with lucrative salary structures and tremendous growth rate.
Related reading: Top 9 Machine Learning Courses
1. Python for Everybody Specialization by University of Michigan – Coursera
This specialization course is available on Coursera. In this training program, the learners will be introduced to fundamental programming concepts such as data structures, network applications, and databases.
The course participants will undergo thorough training and understand how to use the Python programming language to create applications, perform data retrieval tasks, and process and visualization.
In addition, the learners will utilize the core programming tools to build more complex applications throughout the course with various hands-on sessions to guide the process with follow-along examples.Â
The course curriculum includes:
- Programming for Everybody
- Python Data Structures
- Using Python to Access Web Data
- Using Databases with Python
- Capstone: Retrieving, Processing, and Visualization
Instructor: Charles Russell Severance
Level: Beginner
Duration: 8 Months
User Review: 4.8/5
No. of Reviews: 177,222
Price: Free Enrollment (Additional charges for certification may apply)
2. Python for Data Science, AI, and Development by IBM – Coursera
This online course is available on Coursera. The training program ensures to build the general programming skills required for beginners using Python. From the fundamental concepts to data analysis, all the concepts are taught with complete hands-on session exercises. By the end of the course, the learners will be comfortable creating basic programs with data and solving real-world Python problems.Â
In addition, the essentials of data science and AI-based development experience required for more advanced learning will be provided throughout the specialization program. The course curriculum includes:
- Python Data Structures
- Python Programming Fundamentals
- Working with Data in Python
- APIs and Data Collection
Instructor: Joseph Santarcangelo
Level: Beginner
Duration: 19 hours
User Review: 4.6/5
No. of Reviews: 22,923
Price: Free Enrollment (Additional charges for certification may apply)
3. 2022 Complete Python Bootcamp from Zero to Hero in Python – Udemy
This is one of the most comprehensive Python courses offered on Udemy. In this tutorial, the learners will begin with the basic syntax and proceed to the most advanced features of Python. In addition, there are multiple quizzes, tests, coding exercises, assignments, and three major projects to build a portfolio for the learners. This program follows a practical approach to provide the programming experience for learners.Â
Some of the wide range of topics in the course curriculum includes:
- Command Line Basics
- Installing Python
- Running Python Code
- Strings
- Lists
- Dictionaries
- Tuples
- Sets
- Number Data Types
- Print Formatting
- Functions
- Scope
- args/kwargs
- Built-in Functions
- Debugging and Error Handling
- Modules
- External Modules
- Object-Oriented Programming
- Inheritance
- Polymorphism
- File I/O
- Advanced Methods
- Unit Tests
Instructor: Jose Portilla
Level: Beginner
Duration: 22 hours and 13 minutes
User Review: 4.6/5
No. of Reviews: 383,173
Price: $69.6
4. Python Certification Course – Simplilearn
This Python training program is offered on Simplilearn. In this course, the fundamentals of Python are covered in-depth and how to program in Python to build real-world applications. The concepts of operations, strings, conditional statements, error handling, shell scripting, and web scraping are covered with practical sessions and assignments to understand the concepts better. In addition, the learners will learn the commonly used Python web framework called Django to understand how web applications are built using the Python programming language.Â
The course contents are:
- Python Basics
- Data Operations
- Conditional Statements and Functions
- Error Handling and File Operations
- Shell Scripting and Django
- Logging Infrastructure
- Unit Test Infrastructure
- Networking Concepts
Instructor: Industry Professionals
Level: Beginner
Duration: 90 Days Flexible Online Access
User Review: 4.6/5
No. of Reviews: 1490
Price: Self-Paced: $136/Online Bootcamp: $244.8
5. Programming Applications with Python by Coventry University – Futurelearn
The course is offered in collaboration with GitHub on the Futurelearn platform. The online tutorial provides a comprehensive introduction to Python.
In addition, the learners will explore the best practices for reading and creating files and directories and learn Python to perform data collection, wrangling, and data exploration. Besides the data analysis concepts, the learners will deep dive into the concepts of GUI for web services and how to use the libraries to create a successful GUI. Furthermore, the hands-on sessions demonstrate the process of creating buttons, sliders, images, dropdown boxes in a practical project.
Finally, the learner will explore core programming concepts in Python and cover concepts such as HTTP requests, web scraping, Python libraries for advanced computation, and other critical elements of the APIs.Â
The course contents are:
- Programming Applications with Python: Working with Files and Directories
- Data Analytics and Data Collection
- Data Wrangling and Data Exploration
- GUI Libraries and GUI Applications
- Web Development using Python
- Python Frameworks for Web Development
- Designing APIs
- Working with APIs
- JSON, Error Handling, and Exceptions
- Web Scraping and its Libraries
Instructor: Jeygopi P
Level: Beginner
Duration: 12 weeks
User Review: NA
No. of Reviews: NA
Price: $39/Month
6. Introduction to Python Programming by Georgia Tech – edX
This is a professional certificate program offered on edX. In this training, the learners will explore the fundamental design cycle of computer science and programming, such as writing code, execution, interpreting results, and debugging. Furthermore, the learners will understand variables, mathematical and logical operators, and Boolean in programming.
Additionally, the learners will deep dive into Python libraries and control structures for developing dynamic programs using Python code, including some core data structures for creating useful programs. The learners will also explore the fundamentals of object-oriented programming and the creation of algorithms.Â
The course contents are:
- Computing in Python: Fundamentals and Procedural Programming
- Control Structures
- Data Structures
- Objects and Algorithms
Instructor: David Joyner
Level: Beginner
Duration: 5 months
User Review: NA
No. of Reviews: NA
Price: $541
7. Python for Data Science by UC San Diego – edX
The course is offered on edX. In this training program, the learners will be introduced to the collection of powerful and open-source tools for data analysis for data science environments. In particular, the learners will begin with Python, Jupyter notebooks setup and installations, covering various libraries such as pandas, NumPy, matplotlib, and Git. In addition, the learners will explore how to build data science tools and explore public datasets for evidence-based findings.
At the end of the course, the learners will understand working with large datasets, using Python to import and explore data and analyze it and provide insights through data visualization using Python programming. The course’s prerequisites include prior experience with programming languages such as Java, C, C++ or PHP, and basic data structures.
Instructor: Leo Porter and IIkay Altintas
Level: Intermediate
Duration: 10 weeks
User Review: NA
No. of Reviews: NA
Price: $353
8. Learn Intermediate Python Nanodegree Program – Udacity
This is a specialization course suitable for advanced learners. It is offered on the Udacity platform. In this training program, the learners will be equipped with the skills to leverage Python capabilities to add functionalities capable of performing complex tasks efficiently. For example, the learners will understand classifying files, data mining tasks, and creating web applications.Â
There is also an emphasis on building the portfolio of the course participants to demonstrate their abilities with Python skill set for an industry-oriented job role. However, the course’s prerequisites include basics of object-oriented programming, Python syntax, Python knowledge for creating simple programs, object types, and running basic programming scripts with functions and loops.Â
The modules in this program are:
Advanced Python Topics
In the first module, the learners will begin with the foundations of Python methods to describe data and explore different functions and the functional design aspects. Besides, the learners will also understand how to create strategies for problem-solving. Furthermore, the concepts on objects, object-based design, and interconnected ideas with class objects and instance objects are covered in detail. Finally, the learners will understand how to include Python with external files to complete the codebases with the help of a project.
Large Codebases with Libraries
The course’s final module includes concepts on how to write, structure, and extend the codes for supporting the development of large systems at scale.
The learners will explore leveraging the open-source libraries to add advanced functionalities to the applications and systems faster. Moreover, there are additional concepts such as packaging one’s own codes into the library and applying object-oriented programming to ensure the modularity of the understandable codes.
Additionally, the learners will cover the concepts on how to build easily maintainable and efficient codebases and eliminate the need for writing multiple lines of code for future projects.
Instructor: Sam Redmond and Gabriel Ruttner
Level: Intermediate
Duration: 2 Months
User Review: NA
No. of Reviews: NA
Price: $310/Month/$528 for 2-Month Access
9. Become a Python Developer – LinkedIn Learning
This is a Python learning path offered on LinkedIn Learning that comprises various courses in short and easily understandable modules. The course is suitable for beginners to begin from scratch and work their way into mastering the programming skills as experienced developers.
The learners will learn Python programming with multiple hands-on sessions by various industry experts. In addition, the best practices for coding in Python to create clean codes while building an application are covered in-depth. Besides, the learners will cover the essentials for object-oriented programming, data structures and Python libraries, decorators, and Python dictionaries before proceeding with the algorithms and advanced Python concepts.Â
Finally, the training program participants will have access to the LinkedIn Python Skill Assessment Test, which can be essential for highlighting the profile on the platform for potential job opportunities. The course contents are:
- Learning Python
- Python Essential Training
- Python Object-Oriented Programming
- Programming Foundations: Data Structures
- Python Data Structures: Stacks, Ques, and Deques
- Python Linked Lists
- Python Dictionaries
- Algorithms
- Python Standard Library
- Python Decorators
- 8 Things You Must Know in Python
- Advanced Python
- Python Essential Libraries
Instructor: Joe Marini, Bill Weinman, Kathryn Hodge, Erin Allard, Deepa Muralidhar, and Jonathan Fernandes
Level: Beginner/Intermediate
Duration: 26 hours
User Review: NA
No. of Reviews: NA
Price: 1-Month Free Trial (Charges may apply after trial. Prices available on Sign-Up)
10. Micro Masters Program in Predictive Analytics using Python by University of Edinburgh – edX
This specialization course is designed for data analysts, data scientists to perform various advanced tasks using Python. It is offered on the edX platform. In this online training, the learners will understand how to prepare data for predictive modeling, data mining, and advanced analytics purposes continuously required as a data scientist. Moreover, the learners will explore the concepts of statistical modeling and machine learning methods to work on real-world datasets using Python.Â
At the end of the course, the learners will be well-equipped to understand identifying risks and patterns that drive better decision-making with the help of analytical models built using Python. Some prerequisites include prior experience or background in mathematics, statistics, and programming languages such as Java, C, or Basic Python.Â
The course curriculum includes:
- Introduction to Predictive Analytics using Python
- Successfully Evaluating Predictive Modelling
- Statistical Predictive Modelling and Applications
- Predictive Analytics using Machine Learning
- Predictive Analytics Final Project
Instructor: Dr. Johannes De Smedt, Dr. Matthias Bogaert, Obinna Unigwe, Sofia Varypati, Dr. Xuefei Lu and Dr. Galina Andreeva
Level: Intermediate
Duration: 8 Months
User Review: NA
No. of Reviews: NA
Price: $1513.7
11. AI Programming with Python Nanodegree Program – Udacity
The course is available on Udacity. In this online training, the learners will learn the essentials of AI programming and the tools such as Python, NumPy, and PyTorch for developing efficient programs and systems. In addition, the learners will delve into the essential techniques such as neural networks, gradient descent, and backpropagation and how to incorporate them into the model building stages using Python programming.
The final projects are mandatory for obtaining the certifications, and the projects will be offered feedback from experienced reviewers from the industry. In addition, the participants will be provided with technical mentor support to gain mastery of the concepts of AI, Python programming, and model building.
The course’s prerequisite includes basic computer skills of running programs and managing files, including introductory algebra and basic programming knowledge in any language. In addition, the know-how to the operating system is beneficial.
The course curriculum includes:
- Introduction to Python
- Jupyter Notebooks, NumPy, Anaconda, Pandas, and Matplotlib
- Linear Algebra Essentials
- Calculus Essentials
- Neural Networks
Instructor: Ortal Arel, Luis Serrano, Jennifer Staab, Juan Delgado, Grant Sanderson, Matt Leonard, Mike Yi, Juno Lee and Andrew Paster
Level: Intermediate
Duration: 3 Months
User Review: 4.6/5
No. of Reviews: 950
Price: $310/Month/$796 for 3-Month Access
12. Applied Data Science with Python Specialization by University of Michigan – Coursera
This is a specialization program that is available on Coursera. In this course, the learners will be introduced to data science through the Python programming language. However, it is ideal for learners with an essential Python programming background. Furthermore, the learners will understand how to apply statistical and machine learning techniques, data visualization, text analysis, and more thought various Python toolkits such as Pandas, Matplotlib, Scikit-Learn, NLTK, and Networkx to gain insights into the data for further analysis.Â
The course modules are:
- Introduction to Data Science in Python
- Applied Plotting, Charting, and Data Representation in Python
- Applied Machine Learning in Python
- Applied Text Mining in Python
- Applied Social Network Analysis in Python
Instructor: Christopher Brooks, Kevyn Collins-Thompson, V.G Vinod Vydiswaran, and Daniel Romero
Level: Intermediate
Duration: 5 Months
User Review: 4.5/5
No. of Reviews: 23,353
Price: Free Enrollment (Additional charges for certification may apply)
13. Text Analytics with Python by University of Canterbury – edX
This course is offered on the edX platform. In this online training, the learners will explore the core techniques for text analytics and performing NLP tasks using Python. On the practical side, the learners will explore how to perform an analysis in Python and create pipelines for text classification and text similarity with the help of machine learning techniques.Â
Creating the pipelines for automated workflow and data collection and visualization is implemented using Python, and these concepts are addressed in-depth with various hands-on sessions.Â
Finally, the learners explore various case studies and understand the uses of Python libraries for text classification such as Pandas, NumPy, Scikit-Learn, Tensor Flow, Matplotlib, and more. Besides, the learners will also gain knowledge on how to gain meaningful insights from unstructured data.
 The course curriculum includes:
- Introduction to Text Analytics
- Visualizing Natural Language Processing
Instructor: Jonathan Dunn, Jeanette King, Tom Coupe, and Girish Prayag
Level: Intermediate
Duration: 3 Months
User Review: NA
No. of Reviews: NA
Price: $452
14. Data Science with Python Certification Training Course – Edureka
This training program is offered on Edureka. The learners will explore the Python fundamentals throughout the course, followed by statistics and machine learning concepts. After that, the learners will delve into advanced programming concepts that will allow them to create models and systems for performing applied data science at scale using Python.
Furthermore, the training includes extensive hands-on sessions to work on multiple real-world projects, understand the various problems in a data science environment, and address them with predictive modeling using machine learning models. In addition, the learners will cover some of the basic concepts of statistics such as mean, median, and mode to explore various machine learning concepts that are implemented in data science such as regression, classification, clustering, Naïve Bayes, cross-validation, random forest, Support Vector Machine, decision trees and more.
Finally, the learners will cover the concepts of Reinforcement learning using Python and understand how to build an algorithm to solve a real-world problem in the industry. Besides, advanced concepts such as Python scripts, sequence, file operations, and various Python libraries are also covered in-depth.
The course curriculum includes:
- Introduction
- Sequence and File Operations
- Deep dive into Functions, OOPs, Modules, Errors and Exceptions
- Introduction to NumPy, Pandas, and Matplotlib
- Data Manipulation
- Introduction to Machine Learning with Python
- Supervised Learning
- Dimensionality Reduction
- Unsupervised Learning
- Association Rules Mining and Recommendation Systems
- Reinforcement Learning
- Time Series Analysis
- Model Selection and Boosting
Instructor: Industry Professionals
Level: Intermediate
Duration:7 Weeks (Weekend Batches)/ 21 Days (Daily Batch)
User Review: 5/5
No. of Reviews: 95,000
Price: $269.3
15. Advanced Python – Pluralsight
The course is available on the Pluralsight platform. However, this program is ideal for advanced learners.
In this tutorial, the learners will extend beyond the basic techniques and explore various libraries and frameworks that experienced developers use. In particular, the learners will cover the concepts of fine-grained control over attribute access and the uses of intercepting class-object construction.
Finally, the learners will understand the sophisticated framework for advanced and complex industry applications and understand class relationships in-depth.Â
The course curriculum includes:
- Introduction
- Advanced Flow Control
- Byte-Oriented Programming
- Object Internals and Custom Attributes
- Descriptors
- Instance Creation
- Metaclasses
- Class Decorators
- Abstract Base Classes
- Summary
Instructor: Robert Smallshire
Level: Advanced
Duration:3 hours and 52 minutes
User Review: 4.6/5
No. of Reviews: 132
Price: 10-Day Free Trial (Charges may apply after trial. Prices available on Sign-Up)
Conclusion
Python is gradually becoming the most preferred programming language in the industry. Besides, Python developers are in-demand across education, healthcare, the IT industry, multidisciplinary research, statistics, and finance. Therefore, endless opportunities range from software and web developers to data scientists, data analysts, and machine learning for people with Python programming skill sets.Â
Currently, the national average salary of a Python developer in the USA is $97,009, with the highest range being above $100,000 a year as per Glassdoor reports. With such salary structures, it is indeed one of the most lucrative career opportunities, and the aspirants and experienced developers aiming to add more skills to their repository must include Python as one of those skillsets.Â
Nowadays, there are multiple online courses available for upskilling oneself; however, every course does not cover all aspects of programming.
To simplify selecting the courses, this article highlighted some of the top trending courses in Python that offer industry-recognized certification and well-curated content to provide the best curriculum to provide learners with a comprehensive learning experience.
