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MongoDB Complete

Master NoSQL databases - documents, collections, aggregation, indexing and building with Node.js.

SU Taught by Sukhwinder Singh 0 enrolled Beginner

What you will learn

Learn MongoDB - the leading NoSQL document database powering modern applications.

Covers NoSQL concepts, document modeling, CRUD operations, queries, indexing, aggregation pipelines, relationships, and integrating MongoDB with Node.js. Build real projects.

Who this is for:
- Developers building modern web applications
- Anyone wanting to learn NoSQL alongside or instead of SQL
- Full-stack developers using Node.js and Express

Course Syllabus

0 lessons · 8 modules
1. NoSQL Concepts 4 lessons
  1. Lesson content for "SQL vs NoSQL - when to use which".

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  2. Lesson content for "Document model and JSON/BSON".

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  3. Lesson content for "MongoDB Atlas cloud setup".

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  4. Lesson content for "MongoDB Compass and Shell".

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2. Collections & Documents 5 lessons
  1. Lesson content for "Creating databases and collections".

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  2. Lesson content for "Document structure and data types".

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  3. Lesson content for "Embedded documents vs references".

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  4. Lesson content for "Schema design patterns".

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  5. Lesson content for "Validation rules for documents".

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3. CRUD Operations 5 lessons
  1. Lesson content for "insertOne and insertMany".

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  2. Lesson content for "find, findOne and querying".

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  3. Lesson content for "updateOne, updateMany and $set".

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  4. Lesson content for "deleteOne and deleteMany".

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  5. Lesson content for "Bulk write operations".

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4. Querying & Filtering 5 lessons
  1. Lesson content for "Comparison operators - $gt, $lt, $in".

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  2. Lesson content for "Logical operators - $and, $or, $not".

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  3. Lesson content for "Regex and text search".

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  4. Lesson content for "Projection - selecting fields".

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  5. Lesson content for "Sorting, limiting and skipping".

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5. Indexing 4 lessons
  1. Lesson content for "Why indexes matter in NoSQL".

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  2. Lesson content for "Single field and compound indexes".

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  3. Lesson content for "Text indexes for search".

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  4. Lesson content for "Index analysis with explain()".

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6. Aggregation Pipeline 5 lessons
  1. Lesson content for "Aggregation pipeline concepts".

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  2. Lesson content for "$match, $group and $project".

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  3. Lesson content for "$lookup for joins".

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  4. Lesson content for "$unwind and array processing".

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  5. Lesson content for "Building analytics pipelines".

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7. Relationships & Data Modeling 4 lessons
  1. Lesson content for "Referencing vs embedding decisions".

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  2. Lesson content for "Population with populate()".

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  3. Lesson content for "Denormalization strategies".

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  4. Lesson content for "Data modeling for real applications".

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8. MongoDB with Node.js 4 lessons
  1. Lesson content for "Mongoose ODM setup and schemas".

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  2. Lesson content for "Models, saving and querying".

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  3. Lesson content for "Middleware and hooks".

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  4. Lesson content for "Building a REST API with Express and MongoDB".

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