MongoDB Tutorial
Learn MongoDB step by step through 76 structured lessons. The course starts with essential concepts and progresses toward practical, advanced topics, with explanations, syntax, examples, common mistakes and exercises you can try yourself.
- Level: Beginner to advanced
- Format: 76 free, self-paced lessons
- Best for: Students, career changers and developers refreshing their skills
What You Will Learn
This learning path covers the following areas in curriculum order:
- MongoDB Fundamentals
- Documents and BSON
- Inserting Data
- Querying Data
- Updating and Deleting Data
- Indexes
- The Aggregation Framework
- Schema Design
- Data Validation
- Transactions and Consistency
- MongoDB with Node.js
- Replication and High Availability
- Sharding and Scaling
- Security and Administration
- Best Practices and Troubleshooting
Who This Course Is For
This tutorial is suitable for complete beginners as well as learners who already know some programming and want a structured reference. Start from the first lesson if the subject is new to you. Experienced learners can use the curriculum below to jump directly to a specific concept.
How to Use This Tutorial
- Read each lesson in curriculum order and run every example yourself.
- Change the examples to test your understanding instead of only copying them.
- Complete the exercises and review the common-mistake sections before moving on.
- Bookmark this course page so you can return to the complete lesson index.
Course Contents
MongoDB Fundamentals
- MongoDB Introduction
- Installing MongoDB
- SQL vs MongoDB: A Mental Model Shift
- Databases, Collections, and Documents
- The mongosh Shell
- MongoDB Atlas (Cloud) Get Started
Documents and BSON
- The Document Data Model
- BSON vs JSON
- Data Types in MongoDB
- The _id Field and ObjectId
- Embedded Documents and Arrays
Inserting Data
Querying Data
- find and findOne
- Query Operators ($eq, $gt, $lt, $in)
- Logical Operators ($and, $or, $not)
- Querying Embedded Documents and Arrays
- Projection: Selecting Fields
- sort, limit, and skip
- Counting Documents
Updating and Deleting Data
- updateOne and updateMany
- Update Operators ($set, $inc, $unset)
- Array Update Operators ($push, $pull, $addToSet)
- upsert
- deleteOne and deleteMany
- findOneAndUpdate and findOneAndDelete
Indexes
- Why Indexes Matter
- Creating Indexes
- Compound Indexes
- Unique Indexes
- Text Indexes and Text Search
- Using explain() to Analyze Queries
The Aggregation Framework
- Aggregation Pipeline Introduction
- $match and $project
- $group and Accumulators
- $sort, $limit, and $skip in Pipelines
- $lookup: Joining Collections
- $unwind
- Building a Multi-Stage Aggregation Pipeline
Schema Design
- Schema Design Principles in MongoDB
- Embedding vs Referencing
- One-to-Many Relationships
- Many-to-Many Relationships
- Designing for Your Query Patterns
Data Validation
Transactions and Consistency
- ACID Transactions in MongoDB
- Multi-Document Transactions
- Read and Write Concerns
- Atomicity at the Document Level
MongoDB with Node.js
- Connecting to MongoDB from Node.js
- The MongoDB Node.js Driver: CRUD
- Using Mongoose: Schemas and Models
- Mongoose Validation and Middleware
- Connection Pooling in Node.js
Replication and High Availability
Sharding and Scaling
Security and Administration
- MongoDB Authentication
- Role-Based Access Control
- Connection Strings and Security
- Backup and Restore (mongodump/mongorestore)
- Monitoring MongoDB Performance
Best Practices and Troubleshooting
- MongoDB Performance Best Practices
- Common MongoDB Mistakes
- Debugging Slow Queries
- Data Modeling Anti-Patterns
- MongoDB Command Reference
Frequently Asked Questions
Is this MongoDB tutorial free?
Yes. The lessons listed on this page are free to read and can be completed at your own pace.
Do I need previous experience?
No previous experience is required for the introductory lessons. Some advanced modules are easier if you first complete the fundamentals in this course.
How should I practise?
Type and run the examples, deliberately change their inputs, predict the result before execution and build a small project after completing each major section.
