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Introduction

MongoDB is an open-source database management system that relies on a document-based approach. It is a non-relational database system that is designed to store large volumes of data efficiently. 

MongoDB supports various programming languages such as C, C++, C#, Ruby, Scala, Swift, Perl, Java, Python, and more. Moreover, MongoDB is created as a NoSQL solution that is not dependent on tables and rows to store and retrieve data. Therefore, managing and storing various forms of data is efficient and straightforward, leading to a highly scalable environment for cross-platform applications and services. 

Today, several top companies across industries such as Facebook, Google, KPMG, Royal Bank of Scotland, SAP, Cisco, Barclays, Verizon, Adobe, AstraZeneca, and EA Sports use MongoDB to store and process a large amount of data for Big data applications and database management systems. 

With immense popularity in multiple industries, it leads to high demand for professionals with MongoDB skillset. Therefore, aspirants and experienced professionals aiming for a switch in their careers must upskill themselves to attain some of the top positions in the industry.

 

Related reading: 15 Best Online SQL Courses

 

1. Introduction to MongoDB – Coursera

Introduction to MongoDB – Coursera

This is an excellent course to learn MongoDB. The MongoDB company offers it on Coursera. In this certification program, the learners will master the fundamentals of MongoDB and be familiar with the MongoDB data model used for importing data into a cluster. 

Furthermore, the learners will explore the concepts of CRUD API and the Aggregation framework. There are numerous demonstrations throughout the course to strengthen the practical knowledge of the learners. 

Next, the learners will build applications with MongoDB and cover additional topics such as MongoDB tools and services, Atlas, and the database as a service concept. 

Finally, the learners will also delve into the concepts of the MongoDB compass, the schema visualization tool, and different command-line utilities. 

The course curriculum includes:

  • Introduction
  • MongoDB Document Model
  • Installations
  • Getting Data into MongoDB
  • Using Compass to View Data
  • How to Connect an Atlas Cluster from Python?
  • Aggregation Framework
  • Projecting Queries
  • Updating Documents
  • Bulk Data and Data Types in MongoDB
  • Filtering on Array Fields
  • Working with Comments and Querying
  • Sort, Skip and Limit
  • Practical Exercises: Indexes, Geospatial Queries, Graphing with MongoDB

Instructor: Norberto Leite, Kirby Kohlmorgen, and Shannon Bradshaw

Level: Intermediate

Duration: 17 hours

User Review: 4.3/5

No. of Reviews: 596

Price: Free Enrollment (Additional charges for certification may apply)

2. Server-Side Development with NodeJS, Express, and MongoDB – Coursera

Server-Side Development with NodeJS, Express, and MongoDB – Coursera

This is a certification program on server-side development using NodeJS and MongoDB. It is offered by The Hong Kong University of Science and Technology on Coursera

The course begins with an overview of web development, and the fundamental concepts of HTTP and HTTPS are covered in detail. Furthermore, the concepts of NodeJS and its modules are covered with practical sessions to gain more clarity. 

Besides, the learners will explore the concepts of using Express for building web servers and learn about CRUD operations to understand the database side requirements in web development.

Additionally, the learners will be able to use NoSQL databases, including MongoDB and Mongoose, for accessing MongoDB from NodeJS. 

Finally, the learners will examine REST concepts, build RESTful API, and focus on authenticity and security. The learners will also explore backend as a service approach, including mobile backend operations and the open-source and commercial BaaS services. 

The course modules are:

  • Introduction to Server-Side Development
  • Data
  • RESTful API and User Authentication Basics
  • Backend as a Service (BaaS)

Instructor: Jogesh K. Muppala

Level: Intermediate

Duration: 48 hours

User Review: 4.7/5

No. of Reviews: 2318

Price: Free Enrollment (Additional charges for certification may apply)

3. MongoDB – The Complete Developer’s Guide 2022 – Udemy

MongoDB – The Complete Developer’s Guide 2022 – Udemy

The MongoDB developer’s course is available on Udemy. This tutorial offers learners fundamental concepts on MongoDB and databases. 

First, the learners will cover the installation process and use of MongoDB locally and in the cloud using MongoDB Atlas. Furthermore, the learners will deep dive into the concepts of CRUD operations on MongoDB databases and understand how to filter the data efficiently.

Moreover, the learners will also gain experience working with Mongo Shell and the Node.js driver and become familiar with increasing the performance of the applications using indexes. In addition, the learners will understand the Aggregation framework and replica sets and sharing.

Finally, the practical uses of MongoDB cloud solutions and the serverless platform are covered in depth. 

The course contents are:

  • Introduction
  • Understanding the Basics and CRUD Operations
  • Schemas and Relations: How to Structure Documents
  • Exploring the Shell and the Server
  • Using MongoDB Compass to Explore Data Visually
  • Diving into Create Operations
  • Read/ Update/Delete Operations
  • Working with Indexes
  • Working with Geospatial data
  • Understanding the Aggregation Framework
  • Working with Numeric Data
  • MongoDB and Security
  • Performance, Fault Tolerance, and Deployment
  • Transactions
  • From Shell to Driver
  • Introducing Stitch

Instructor: Maximillian Schwarzmuller

Level: Intermediate

Duration: 17 hours and 36 minutes

User Review: 4.7/5

No. of Reviews: 15,039

Price: $47.8

4. Complete MongoDB Administration Guide – Udemy

Complete MongoDB Administration Guide – Udemy

This training program on MongoDB is offered on Udemy. The course begins with the introductory concepts on MongoDB and MongoDB Shell. 

In addition, the learners will understand the installation requirements, including the dedicated server and VPS process. Furthermore, the learners will understand how MongoDB Atlas is used for the cloud necessities and become familiar with the Software as a Service concept. 

Finally, the learners will be offered practical sessions to understand how MongoDB Compass and Robot 3T are implemented. This tutorial also discusses MongoDB Shell and explores the JavaScript engine that is used in MongoDB. Besides, the learners will understand MongoDB data types, CRUD operations and master the MongoDB framework. 

The course curriculum includes:

  • Introduction
  • MongoDB Installation
  • Using MongoDB as a Service
  • GUI Tools for MongoDB Management
  • MongoDB Shell
  • Primary MongoDB Types
  • CRUD Operations
  • MongoDB Queries
  • Updating Documents
  • Delete Operations
  • Aggregation Framework
  • Indexes and Utilities
  • Wrap Up

Instructor: Bogdan Stashchuk

Level: Intermediate

Duration: 10 hours and 17 minutes

User Review: 4.6/5

No. of Reviews: 960

Price: $47.8

5. Data Wrangling with MongoDB – Udacity

This course is offered in collaboration with MongoDB on Udacity. In this program, the learners will explore data wrangling from various sources and shape the data to support data-driven applications. 

First, the learners will understand the process of gathering and extracting data in different formats and assessing data quality. Furthermore, the learners will learn the best practices for data cleaning. 

Next, the learners will understand MongoDB and understand how data scientists use it to store data. Besides, the learners will gain a practical understanding of MongoDB query language and implement it to perform exploratory analysis with the help of the MongoDB aggregation framework. 

The course prerequisites include programming experience in Python, system administration fundamentals, and familiarity with Unix shell or Windows PowerShell.

 The course contents are:

  • Data Extraction Fundamentals
  • Data in More Complex Formats
  • Data Quality
  • Working with MongoDB
  • Analyzing data using MongoDB Aggregation Framework
  • Case Study- OpenStreetMap Data

Instructor: Gundega Dekena and Shannon Bradshaw

Level: Intermediate

Duration: 2 months

User Review: NA

No. of Reviews: NA

Price: Free

6. MongoDB Certification Training Course – Edureka

This MongoDB certification course is offered on the Edureka platform. The training program is designed to help learners master the most popular NoSQL database. The learners will gain knowledge about data modeling, ingestion, query, Sharding, and more about MongoDB. At the end of the course, the learners will equip themselves with various skills to help them become data engineers. 

Some of the essentials are:

  • Gain complete insight on industrial roles of MongoDB experts
  • Understanding of designing schema using advanced queries
  • Troubleshooting various performance issues
  • Understanding of MongoDB Aggregation Framework
  • Learn about scalability and availability in MongoDB using Sharding
  • Replicated cluster and managed Replica Sets
  • Shards, Keys, Config Server, and Query Router
  • MongoDB Tools to develop and deploy applications
  • MongoDB administration activities
  • Hadoop and MongoDB Integration
  • Performing Data Migration in MongoDB with Hadoop
  • Integrating MongoDB with tools such as Jaspersoft and Pentaho
  • Integrating MongoDB with GUI tool Robomongo
  • MongoDB deployments using MongoDB Cloud products

The course curriculum includes:

  • Introduction to MongoDB: Architecture and Installation
  • Schema Design and Data Modelling
  • CRUD Operations
  • Indexing and Aggregation Framework
  • MongoDB Administration
  • Scalability and Availability
  • MongoDB Security
  • Application Engineering and MongoDB Tools
  • MongoDB on the Cloud
  • Diagnostics and Fixes

Instructor: Industry Professionals

Level: Intermediate

Duration: 5 weeks

User Review: 4.0/5

No. of Reviews: 15,000

Price: $243.4

7. MongoDB Certification Training Course – Simplilearn

The MongoDB certification course is available on Simplilearn. In this course, the learners will cover the essentials of managing and working with big data or a data science environment. The learners will cover data modeling, data ingestion, querying data, replication, and MongoDB sharing. 

Additionally, the learners will be well-equipped to efficiently tackle tasks such as installing, updating, and maintaining the MongoDB environment. Furthermore, the learners will gain proficiency with MongoDB configurations and backup methods, including monitoring and operational strategies.  

At the end of the course, the learners will be thorough with the concepts of Java and NodeJS requirements for applications, CRUD operations in MongoDB, replication and Sharding operations, indexing and aggregation framework, MongoDB tools, backup and replica sets. 

The course prerequisites include basic knowledge of any programming language and database such as SQL or other query languages for databases. In addition, the participants are expected to have a fundamental understanding of Linux-based systems. 

The course curriculum includes:

  • Introduction
  • NoSQL Databases
  • MongoDB Database for the Modern Web
  • CRUD Operations in MongoDB
  • Indexing and Aggregation
  • Replicating and Sharding
  • Developing Java and Node JS Application with MongoDB
  • Administration of MongoDB Cluster Operations

Instructor: Industry Professionals

Level: Intermediate

Duration: 90 days Flexible Access

User Review: 4.6/5

No. of Reviews: 1010

Price: $285.7

8. The Complete Developers Guide to MongoDB – Udemy

The Complete Developers Guide to MongoDB – Udemy

This is a highly rated certification program on Udemy. The course provides the core knowledge about MongoDB and is centered around building applications using MongoDB. The learners will master the fundamentals and become familiar with concepts such as collections, validations, and standard record manipulation techniques. 

In addition, the program focuses on teaching learners about reusable codes and the Mongoose library to interface with MongoDB. Furthermore, the learners will be familiar with writing tests around Mongo queries, understand the process of designing NoSQL schema, and record associations and resource embedding differences.

Furthermore, the advanced features of Mongoose are covered in-depth for speeding the development time. Finally, the learners will build fast and responsive applications using MongoDB and be well-equipped to understand Mongo, Node, and Mocha integration in modern development environments. 

The course curriculum includes:

  • Introduction
  • OSX and Windows Setup
  • ES6 Refresher
  • Core Fundamentals of MongoDB
  • Test Driver Experience
  • Mongo Operators
  • Handling Relational Data
  • Thinking about Schema Design
  • Mongoose Middleware
  • Handling Big Collections with Pagination
  • Skill Tests
  • Hard Mode Engage
  • MongoDB with Node and Express

Instructor: Stephen Grider

Level: Intermediate

Duration: 13 hours and 30 minutes

User Review: 4.6/5

No. of Reviews: 6845

Price: $47.8

9. Web Application Development with JavaScript and MongoDB – Coursera

Web Application Development with JavaScript and MongoDB – Coursera

This is a course offered by the University of London on Coursera. Although the course is part of a specialization program, it is available for separate enrollment. In this certification program, the learners will delve into advanced web application programming skills. From learning how to control data read and write access using various methods to understanding the accessibility of databases, the learners will be well-equipped with development skills. 

In addition, the learners will understand the concepts on server shells and command-line tools, simple schema systems for validating data, and generating input forms automatically. The learners will also explore the collaborative coding and editing environment and TextCircle to be built from scratch. 

At the end of the course, the learners will have mastery over the following concepts:

  • Meteor methods for controlling data write access
  • Publishing and subscribing to control data read access
  • Installing and using advanced Meteor packages
  • Adding user accounts to the applications
  • Implementing complex MongoDB filters
  • MongoDB and Meteor server shells
  • Data validations schemas using Simple Schema
  • Generating data input forms automatically using Simple Schema
  • The course contents are:
  • Web Application Development with JavaScript and MongoDB
  • MongoDB, Meteor, and Reactive Data
  • User Accounts, Packages, and Methods
  • Publish, Subscribe Model and MongoDB Filters
  • Simple Schemas, Autoform and Code Re-Organization
  • Summary

Instructor: Dr. Matthew Yee-King

Level: Beginner/Intermediate

Duration: 27 hours

User Review: 4.6/5

No. of Reviews: 589

Price: Free Enrollment (Additional charges for certification may apply)

10. MongoDB Aggregation Framework – Coursera

MongoDB Aggregation Framework – Coursera

MongoDB offers the course on Coursera. In this training program, the learners will understand the process of performing data analysis using MongoDB. 

In addition, the learners will explore the MongoDB Aggregation framework and understand how to solve complex problems related to data. Furthermore, the learners will learn about schema design, relational data migrations, and machine learning implementations using MongoDB.

 By the end of the course, the learners will have complete clarity over the best uses of MongoDB and the Aggregation framework to manage the data science workflow in an organization. The course contents are:

The Fundamentals of MongoDB Aggregation

In this module, the learners will learn the fundamentals of the MongoDB Aggregation framework, including filtering, sorting, and transforming array data. Besides, the learners will understand how to group documents, join data, and traverse graph data.

Leveraging MongoDB’s Flexible Schema

The second module focuses on concepts about leveraging MongoDB’s flexible schema using various ways. Next, the learners will delve into the concepts of migrating relational schema and enhancing existing schemas. 

Finally, the learners will become familiar with merging datasets using the entity resolution technique.

Machine Learning with MongoDB

The final module enables learners to gain practical experience using MongoDB with various machine learning workflows. 

Additionally, the learners will understand how to perform machine learning solutions directly in MongoDB and prepare the data for machine learning models with MongoDB. 

Finally, the learners will also understand how to analyze data with MongoDB to perform machine learning in Python.

Instructor: Nathan Leniz and Kirby Kohlmorgen

Level: Intermediate

Duration: 19 hours

User Review: 4.6/5

No. of Reviews: 45

Price: Free Enrollment (Additional charges for certification may apply)

11. NoSQL Database Basics by IBM – edX

NoSQL Database Basics by IBM – edX

This course is available on the edX platform. The learners of this program can expect to master the fundamentals of NoSQL and build hands-on experience of working with MongoDB Cassandra and IBM Cloudant NoSQL database. In addition, the learners will cover the concepts on the database as a Service (DaaS) and extensive data modeling and agile development methodologies. Besides, the concepts on key characteristics, benefits and the categories of NoSQL databases are covered in-depth. 

Next, the learners will explore the MongoDB architecture and understand the implementations of NoSQL databases such as MongoDB Cassandra. Throughout the course, the learners will have practical sessions to learn to perform standard database management tasks such as creating and replicating databases, loading and querying data, modifications, indexing, aggregating data, and partitioning. 

At the end of the course, there is a hands-on project, which is mandatory to attain the certification. 

The course curriculum includes:

Module 1 – Introducing NoSQL

  • Basics of NoSQL
  • Overview of NoSQL
  • Characteristics of NoSQL Databases
  • NoSQL Database Categories – Key-Value
  • NoSQL Database Categories – Document
  • NoSQL Database Categories – Column
  • NoSQL Database Categories – Graph
  • Database Deployment Options
  • Choosing an Appropriate Data Layer
  • Working with Distributed Data
  • ACID vs. BASE
  • Distributed Databases
  • The CAP Theorem
  • Challenges in Migrating from RDBMS to NoSQL Databases

Module 2 – Introducing MongoDB – An Open-Source NoSQL Database

  • Basics of MongoDB
  • Overview of MongoDB
  • Advantages of MongoDB
  • Use Cases for MongoDB
  • Lab: Getting Started with MongoDB
  • Getting Started with MongoDB
  • CRUD Operations
  • Lab: MongoDB CRUD
  • Indexes
  • Lab: MongoDB Indexing
  • Aggregation Framework
  • Lab: MongoDB Aggregation
  • Replication & Sharding
  • Accessing MongoDB from Python
  • Lab: Accessing MongoDB from Python

Module 3 – Introducing Apache Cassandra – An Open-Source NoSQL Database

  • Cassandra Basics
  • Overview of Cassandra
  • Architecture of Cassandra
  • Key Features of Cassandra
  • Cassandra Data Model – Part 1
  • Cassandra Data Model – Part 2
  • Introduction to Cassandra Query Language
  • Lab: Using the CQL Shell
  • Working with Cassandra
  • CQL Data Types
  • Keyspace Operations
  • Lab: Keyspace Operations
  • Table Operations
  • Lab: Table Operations
  • CRUD Operations – Part 1
  • CRUD Operations – Part 2
  • Lab: CRUD Operations

Module 4 – Introducing IBM Cloudant – A NoSQL DBaaS

  • Cloudant Basics
  • Overview of Cloudant
  • Cloudant Architecture and Key Technologies
  • Cloudant Benefits and Solutions
  • Deployment Options for Cloudant
  • Lab: Sign up for IBM Cloud account
  • Lab: Create an instance of IBM Cloudant
  • Working with Cloudant
  • Dashboards in Cloudant
  • Lab: Dashboards in Cloudant
  • Working with Databases in Cloudant
  • Lab: Working with Databases in Cloudant
  • HTTP API Basics
  • Working with the HTTP API
  • Query Optimization with Indexes
  • Lab: Querying data using the HTTP API
  • How to Access Documentation and Support Resources?

Module 5 – Final Project – Working with NoSQL Databases

  • Peer-Graded Final Assignment
  • Lab: Setup & Practice Assignment
  • Project Overview
  • Lab: Final Assignment Project
  • Project Submission & Peer Review

Final Quiz

 

Instructor: Rav Ahuja, Ramesh Sannareddy, and Steve Ryan

Level: Beginner/Intermediate

Duration: 5 weeks

User Review: NA

No. of Reviews: NA

Price: Free Enrollment (Additional charges for certification may apply)

Conclusion

Various emerging fields such as data science and big data have evolved the job descriptions and skills requirements. In addition, data has become an integral part of any organization across industries, requiring experts to handle a large volume of data efficiently. Therefore, the need for engineers with the know-how of MongoDB is highly in demand in the industry. 

Today, MongoDB has emerged as a top-notch open-source database management system that allows scalability and flexibility with querying and indexing numerous data volumes for complex requirements. Moreover, MongoDB ensures applicability across mobile applications, cloud-based storage, real-time analytics, and handling enterprise-related data warehousing necessities. 

Nowadays, with MongoDB and Hadoop, organizations can gain meaningful insights by performing risk modeling, providing predictive analytics, and allowing real-time data processing. Over the years, MongoDB has become essential for businesses focusing on robust and highly scalable NoSQL databases. Besides, MongoDB offers multiple benefits compared to traditional document-related databases, such as scalability of the cloud applications when resource demands are on the rise and dealing with problems of availability and reliability of various services for businesses. 

Additionally, the read and write throughputs are at an acceptable level. Furthermore, MongoDB separates itself from the competition due to its ability to deal with ad-hoc queries without a predefined schema, making it easier to push, sort, update, or export data with simple methods and commands

Therefore, it is evident that engineers with MongoDB skillsets are offered lucrative salaries and top-notch job roles. Thus, aspirants and experienced personnel aiming for a career in fields like big data and data science or web development must upskill themselves with MongoDB in theory and with hands-on experience to achieve some of the top trending jobs in the market.

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Kaushik Das

Kaushik is an artificial intelligence researcher and a data scientist with expertise in medical image processing, intelligent automation, computer vision, and big data engineering—a technical and a scientific writer by passion. He is also passionate about sports, photography, traveling, and exploring new technologies.

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