What you'll learn

Working with MongoDB often means going beyond simple queries. Many analysts and developers struggle to reshape, summarize, and analyze data across large collections because find() alone cannot deliver the insights they need.

In this course, Filter and Manipulate Data with Aggregations in MongoDB, you’ll gain the ability to design and run aggregation pipelines that turn raw documents into clear, actionable results.

First, you’ll explore how to define and run basic aggregation pipelines, comparing them with find() and understanding how documents flow through multiple stages.

Next, you’ll discover how to filter and reshape documents using $match and $project, including techniques for renaming fields, creating computed values, and tracking how the document's shape evolves.

Finally, you’ll learn how to summarize data with $group, apply accumulator operators, add sorting, and chain multiple stages together to answer practical business questions efficiently.

When you’re finished with this course, you’ll have the skills and knowledge of MongoDB aggregations needed to filter, reshape, and summarize data using multi-stage pipelines that support real-world analysis and reporting.