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Querying and Data Transformation in MongoDB

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Course Overview

This course covers essential querying techniques and data transformation methods in MongoDB. Students will learn to perform CRUD operations with various operators, transform data using aggregation pipelines, design effective indexing strategies, optimize query performance, and implement full-text search with Atlas Search. The course emphasizes practical application of querying patterns and performance optimization techniques.

Course Format

The course is formatted into five lessons. It is recommended to go through the lessons in sequential order as the content and complexity builds as you progress. The lessons are formatted as slide decks with detailed instructor notes. They can be used as lectures during the semester, for asynchronous learning, and or/ as complementary material to self-paced learning on MongoDB University.

Skill Badges

Each lesson in this course corresponds to a Skill Badge. At the end of each lesson deck is a link to the Skill Check assessment. The Skill Check is a 10-question assessment that can be taken as many times as needed. Once passed, learners earn the corresponding Skill Badge, a free credential they can add to their resume and professional profiles.

Skill Badges validate competency in specific MongoDB topics and demonstrate commitment to professional development. We encourage both you and your students to earn these badges throughout the course.

Lesson Slides

  1. CRUD Operations with MongoDB

  2. Fundamentals of Data Transformation

  3. Indexing Design Fundamentals

  4. Query Optimization

  5. Atlas Search Fundamentals

The materials are freely available for non-commercial use and are licensed under Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.