Free Course Image MongoDB Aggregation Framework: Master the Aggregation Pipeline

Free online courseMongoDB Aggregation Framework: Master the Aggregation Pipeline

Duration of the online course: 1 hours and 54 minutes

New

Turn raw MongoDB data into clear insights with a free course on aggregation pipelines. Build fast reports with $match, $group, $project and more.

In this free course, learn about

  • Purpose of MongoDB Aggregation Framework and what an aggregation pipeline is
  • How to load sample documents and run aggregate() (including aggregate([]) behavior)
  • Pipeline stages overview and how documents flow through stages
  • Using $match to filter by query conditions; single $match can be optimized like find()
  • Using dot notation in expressions to access nested fields
  • Using $group with required _id to define grouping keys (single, multiple, nested fields)
  • How stage order ($match vs $group) affects results and why swapping can yield 0 docs
  • Counting results efficiently with $count and understanding what it counts after grouping
  • Sorting results with $sort (1 asc, -1 desc) and common post-$group sort fields
  • Projecting and reshaping documents with $project (include/exclude rules, all zeros behavior)
  • Limiting input with $limit and how placing it early can change downstream results
  • Handling arrays with $unwind; then grouping to aggregate per array element
  • Using accumulators in $group: $sum, $avg, $max and typical patterns with $unwind
  • Using $type in $project and writing outputs with $out; allowDiskUse for large pipelines

Course Description

Getting real value from a database is not just about storing documents, it is about answering questions quickly and reliably. This free online course helps you master the MongoDB Aggregation Framework so you can transform raw collections into meaningful metrics, summaries, and analytics-ready outputs. You will learn to think in pipelines: a sequence of stages where each step refines the result until it matches exactly what an app, dashboard, or stakeholder needs.

Through hands-on practice, you will gain confidence building queries that go beyond basic find operations. You will work with filtering and reshaping data, grouping records for totals and breakdowns, and calculating results such as counts, sums, and averages. The course also guides you through common patterns used in real systems, like combining $match with $group for targeted analysis, sorting grouped results, and projecting only the fields that matter for clean API responses.

As your skills grow, you will learn how to handle more complex structures such as nested fields and arrays, using stages that expand values into workable streams and then aggregate them back into useful insights. You will also see how small pipeline design decisions can affect results and performance, including why stage order matters and when options like allowDiskUse can help with large datasets. By the end, you will be able to design aggregation pipelines that are easier to maintain, easier to explain, and better aligned with production needs.

This training fits developers and data-minded professionals who want stronger database skills for backend work, reporting features, and data exploration. If you are aiming for a practical step up in MongoDB, the aggregation pipeline is one of the most valuable tools to master, and this course gives you the structure and practice to use it with clarity.

Course content

  • Video class: MongoDB Aggregation Framework Tutorial 00m
  • Exercise: What is one key capability of the MongoDB Aggregation Framework highlighted in the module introduction?
  • Video class: 02 Loading sample documents - MongoDB Aggregation Tutorial 01m
  • Video class: 03 Aggregation Process - MongoDB Aggregation Tutorial 01m
  • Video class: 04 aggregate - MongoDB Aggregation Tutorial 02m
  • Exercise: What is returned when calling aggregate([]) with an empty array (no stages)?
  • Video class: 05 Aggregation Stages Overview - MongoDB Aggregation Tutorial 02m
  • Exercise: Which aggregation stage operator is used to filter documents by a query condition?
  • Video class: 06 Aggregation Expressions - MongoDB Aggregation Tutorial 03m
  • Exercise: In MongoDB aggregation expressions, what does dot notation allow you to do?
  • Video class: 07 $match - MongoDB Aggregation Tutorial 01m
  • Exercise: In MongoDB Aggregation Framework, which stage is used to filter documents by a condition like a city being New York and an age greater than 25?
  • Video class: MongoDB Aggregation Tutorial - $match 03m
  • Exercise: What is true when an aggregation pipeline contains only a single $match stage?
  • Video class: 09 $group - MongoDB Aggregation Tutorial 03m
  • Exercise: In the $group stage, what is the purpose of the mandatory _id field?
  • Video class: 10 Aggregation Example 2 $group - MongoDB Aggregation Tutorial 03m
  • Exercise: In a pipeline that contains only one $group stage with _id: "$age", what documents are passed into the $group stage?
  • Video class: 11 Aggregation Example 3 $group by nested fields - MongoDB Aggregation Tutorial 02m
  • Video class: MongoDB Aggregation Tutorial - $group by multiple fields 03m
  • Video class: 13 Aggregation Example 5 $match and $group - MongoDB Aggregation Tutorial 03m
  • Exercise: When a $match stage filtering gender: "female" is followed by a $group stage grouping by eyeColor, age, and gender, what will the output documents look like?
  • Video class: 14 Aggregation Example 6 swap $match and $group - MongoDB Aggregation Tutorial 03m
  • Exercise: Why does placing the $group stage before the $match stage return 0 documents in the example?
  • Video class: 15 Aggregation Example 7 $group and $match - MongoDB Aggregation Tutorial 03m
  • Video class: 16 $count - MongoDB Aggregation Tutorial 01m
  • Video class: 17 Aggregation Example 8 $count - MongoDB Aggregation Tutorial 01m
  • Video class: 18 Different documents count methods - MongoDB Aggregation Tutorial 04m
  • Exercise: Which method is the most efficient way to count aggregated documents in an aggregation pipeline?
  • Video class: 19 Aggregation Example 9 $group and $count - MongoDB Aggregation Tutorial 03m
  • Exercise: In an aggregation pipeline that uses $match, $group, and $count, what does the $count stage count?
  • Video class: 20 $sort - MongoDB Aggregation Tutorial 02m
  • Exercise: In the MongoDB Aggregation Pipeline, how does the $sort stage specify ascending vs. descending order?
  • Video class: 21 Aggregation Example 10 $sort - MongoDB Aggregation Tutorial 02m
  • Exercise: No MongoDB Aggregation Framework, qual opção melhor descreve o que é um aggregation pipeline?
  • Video class: 22 Aggregation Example 11 $group and $sort - MongoDB Aggregation Tutorial 04m
  • Exercise: After a $group stage, which field is typically used to sort the grouped results by default?
  • Video class: 23 $project - MongoDB Aggregation Tutorial 02m
  • Exercise: In a $project stage, what happens if all specified fields are set to 0?
  • Video class: 24 Aggregation Example 12 $project - MongoDB Aggregation Tutorial 03m
  • Exercise: In a $project stage, what is the result when you set some fields to 1 (e.g., name: 1, isActive: 1, gender: 1)?
  • Video class: 25 Aggregation Example 13 $project with restructuring - MongoDB Aggregation Tutorial 04m
  • Exercise: What is the main purpose of using the $project stage in this example?
  • Video class: 26 $limit - MongoDB Aggregation Tutorial 01m
  • Video class: 27 Aggregation Example 14 $limit, $match and $group - MongoDB Aggregation Tutorial 03m
  • Exercise: What is the main effect of adding a $limit stage before a $match stage in an aggregation pipeline?
  • Video class: 28 Arrays $group issue - MongoDB Aggregation Tutorial 01m
  • Video class: 29 $unwind - MongoDB Aggregation Tutorial 02m
  • Exercise: What is the main result of using the $unwind stage on an array field (e.g., tags)?
  • Video class: 30 Aggregation Example 15 $unwind and $project - MongoDB Aggregation Tutorial 03m
  • Video class: 31 Aggregation Example 16 $unwind and $group - MongoDB Aggregation Tutorial 02m
  • Exercise: When using $unwind followed by $group on the same tags field, what will the _id represent in the grouped output?
  • Video class: 32 Accumulators - MongoDB Aggregation Tutorial 03m
  • Video class: 33 Accumulators Syntax - MongoDB Aggregation Tutorial 01m
  • Exercise: In welke Aggregation Pipeline stage mogen accumulator-operators zoals $max worden gebruikt?
  • Video class: 34 $sum - MongoDB Aggregation Tutorial 01m
  • Video class: 35 Aggregation Example 17 $sum and $group - MongoDB Aggregation Tutorial 03m
  • Video class: 36 Aggregation Example 18 $sum, $unwind and $group - MongoDB Aggregation Tutorial 02m
  • Exercise: What does adding an $unwind stage before a $group stage typically achieve when working with an array field?
  • Video class: 37 $avg - MongoDB Aggregation Tutorial 01m
  • Exercise: What does the MongoDB $avg accumulator do inside a $group stage?
  • Video class: 38 Aggregation Example 19 $avg and $group - MongoDB Aggregation Tutorial 02m
  • Exercise: In a $group stage, what does using {$avg: "$age"} compute when grouping documents by a field like eyeColor or company.location.country?
  • Video class: 39 Unary Operators - MongoDB Aggregation Tutorial 02m
  • Video class: 40 $type - MongoDB Aggregation Tutorial 00m
  • Video class: 41 Aggregation Example 20 $type and $project - MongoDB Aggregation Tutorial 03m
  • Exercise: In an aggregation pipeline, where should the $type unary operator be used to return the BSON type of a field for each document?
  • Video class: 42 $out - MongoDB Aggregation Tutorial 01m
  • Video class: 43 Aggregation Example 21 $out - MongoDB Aggregation Tutorial 02m
  • Video class: 44 allowDiskUse Option - MongoDB Aggregation Tutorial 02m
  • Video class: 45 Aggregation Module Summary - MongoDB Aggregation Tutorial 00m
  • Exercise: Wat is de hoofdrol van het Aggregation Framework in MongoDB?

This free course includes:

1 hours and 54 minutes of online video course

Digital certificate of course completion (Free)

Exercises to train your knowledge

100% free, from content to certificate

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