• Post category:StudyBullet-6
  • Reading time:9 mins read

Learn about NoSQL Document Databases and master Mongo Query Language, Aggregation Pipelines and more!

What you will learn

Have a detailed understanding of MongoDB databases and how they work

Build knowledge across the MongoDB product ecosystem

CRUD (Create, Read, Update, Delete) Operations

Query data using the Aggregation Framework

Have extensive hands-on experience with Query, Projection and Aggregation Pipeline Operators

Use Indexes to make your queries more efficient

Understand different approaches to modelling data in MongoDB (Embedding vs Referencing)

Use Drivers to connect MongoDB to applications (featuring Python)


MongoDB is one of the most in demand databases around despite being relatively new to the scene. In fact, MongoDB was created due to the limitations of traditional databases!

Due to the changing data demands of today and the growth in “big data”, traditional relational databases are finding it increasingly difficult to store this data and deliver performance.

MongoDB is able to handle large volumes of data while maximising performance and adopt a flexible schema approach, giving you ultimate flexibility when modelling data.

These are just a few of the reasons why MongoDB is rated as one of the top 5 most popular database systems in the world according to Statista (as of June 2021).

So if you work with data in any capacity and are looking to develop your experience of MongoDB then this is the perfect course for you!

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The curriculum is comprehensive and is designed to take you from beginner to pro. The lectures in this course are arranged into short, bite-sized chunks.

Every module of the course has been individually tailored to give the optimal learning experience and keep you engaged. Modules are packed with:

  • Presentations + Walkthroughs
  • Quizzes
  • Assignments (with guided solutions)

As your instructor I have over 25,000 students enrolled in my courses and 10+ years of on the job experience consulting and working for a range of publicly listed companies. I have worked extensively with databases (both Relational and NoSQL) and I aim to use my expertise to deliver a great learning experience.

I hope to see you enrolled in the course!



Introduction to NoSQL and MongoDB

Welcome to the Course
Udemy 101
Introduction to NoSQL Databases
What is MongoDB?
Documents in MongoDB
MongoDB Ecosystem
Replica Sets and Clusters
Advantages of MongoDB Databases
MongoDB Query Languages

Set Up & Installation

Setting Up Your Atlas Cluster
Installing the Shell and Database Tools
Installing MongoDB Compass
Loading your Sample Data + MongoDB Compass Overview
Overview of MongoDB Atlas
Connecting to Mongosh and Recap

Importing and Exporting Data

Using Compass to Import/Export Collections
Command Line basics
mongoimport and mongoexport
mongodump and mongorestore

Mongo Query Language

Creating / Deleting Databases and Collections
Using the find and findOne Methods
Case Sensitivity in MongoDB
Querying with the Data Explorer
Assignment Questions
Use of $ in MQL
Comparison Operators
Logical Operators
Assignment Questions
Introduction to $expr
Element Operators
Cursor Methods
Assignment Questions
Querying Embedded Documents
Querying Arrays
Additional Resources – Query and Projection Operators
Assignment Questions
Inserting Documents
Deleting Documents

Updating Documents

Updating Documents in the Shell
Update Operators
Additional Resources – Update Operators
Updating Documents in Atlas

The Aggregation Framework

Introduction to the Aggregation Pipeline
Assignment Questions
Arithmetic Expression Operators
String Expression Operators
Date Expression Operators
Comparison Expression Operators
Array Expression Operators
Conditional Expression Operators
Additional Resources – Aggregation Expression Operators
Assignment Questions
Cursor Stages
Assignment Questions
$bucket and $bucketAuto
Assignment Questions
Additional Resources – Aggregation Pipeline Stages
Combining It all together

Variables in Aggregation Expressions

System Generated Variables
User Defined Variables

Schema Validation and Data Modelling

Limits and Thresholds
writeConcern and ordered inserts
Schema Validation
Data Modelling Considerations
Installing the sample_mflix Database
Assignment Question
Types of Relationships
Additional Resources – Schema Patterns

Indexes and Performance

Introduction to Indexes
The Explain Method
Single Field Indexes
Note on Aggregations and Indexes
Sorting with Indexes
Compound Indexes
Arrays and Embedded Fields
Partial Indexes

BONUS: MongoDB Drivers (Python)

Drivers Overview
Connecting to MongoDB
Basic CRUD Operations
Aggregation Framework
Additional Resources – Download Links and Documentation