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MongoDB Aggregation Framework

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MongoDB Aggregation Framework

Instructors: Nathan Leniz

12,622 already enrolled

Included with

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3 modules

Gain insight into a topic and learn the fundamentals.

66 reviews

Intermediate level

Some related experience required

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

66 reviews

Intermediate level

Some related experience required

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

36 assignments

Taught in English

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There are 3 modules in this course

This course will teach you how to perform data analysis using MongoDB's powerful Aggregation Framework.

You'll begin this course by building a foundation of essential aggregation knowledge. By understanding these features of the Aggregation Framework you will learn how to ask complex questions of your data. This will lay the groundwork for the remainder of the course where you'll dive deep and learn about schema design, relational data migrations, and machine learning with MongoDB. By the end of this course you'll understand how to best use MongoDB and its Aggregation Framework in your own data science workflow.

Module details

In this module you'll learn the fundamentals of MongoDB's Aggregation Framework. This will cover basics like filtering and sorting, as well as how to transform array data, how to group documents together, how to join data, and how to traverse graph data.

What's included

15 videos1 reading15 assignments

15 videosTotal 63 minutes

Welcome!1 minute
Course Logistics and Prerequisites2 minutes
Aggregation Introduction4 minutes
The Concept of Pipelines2 minutes
Aggregation Structure and Syntax4 minutes
$match: Filtering Documents3 minutes
Using $project6 minutes
Using Expressions3 minutes
Cursor Like Methods Stages: Part 15 minutes
Cursor Like Methods Stages: Part 25 minutes
The $group Stage6 minutes
Using Accumulator Expressions5 minutes
$unwind4 minutes
The $lookup Stage4 minutes
$graphLookup Stage6 minutes

1 readingTotal 10 minutes

Setting Up Your Course Environment10 minutes

15 assignmentsTotal 354 minutes

$project and Expressions30 minutes
Changing Document Shape with $project20 minutes
Cursor Like Methods20 minutes
$group Accumulators20 minutes
$unwind and $group30 minutes
$lookup20 minutes
$graphLookup30 minutes
Course Logistics30 minutes
Aggregation Introduction2 minutes
The Concept of Pipelines30 minutes
Aggregation Structure and Syntax30 minutes
$match: Filtering Documents30 minutes
Using $project30 minutes
Using Expressions2 minutes
The $lookup Stage30 minutes

This module is going to be focused on the different ways you can leverage MongoDB's flexible schema. You'll learn how to migrate a relational schema, how to enhance existing schemas, and how to merge datasets via an entity resolution technique.

What's included

11 videos9 assignments

11 videosTotal 64 minutes

Intro to Week 21 minute
mongoimport12 minutes
Importance of Schema4 minutes
Exploring Schemas4 minutes
Migrating Your Schema7 minutes
Views8 minutes
Supplementing Schemas with Accumulators5 minutes
Tree-like Data in Individual Documents (Part 1)4 minutes
Tree-like Data in Individual Documents (Part 2)8 minutes
Expressive Lookup Basics6 minutes
Entity Resolution with $lookup6 minutes

9 assignmentsTotal 270 minutes

Schemas and accumulators30 minutes
Entity Resolution30 minutes
Intro to Week 230 minutes
mongoimport30 minutes
Importance of Schema30 minutes
Exploring Schemas30 minutes
Migrating Your Schema30 minutes
Views30 minutes
Tree-like Data in Individual Documents30 minutes

This module is focused on demonstrating how MongoDB can be used in different machine learning workflows. You'll learn how to perform machine learning directly in MongoDB, how to prepare data for machine learning with MongoDB, and how to analyze data with MongoDB in preparation of doing machine learning in Python.

What's included

11 videos12 assignments

11 videosTotal 68 minutes

Intro to Week 31 minute
Calculation of Persons-Rho10 minutes
Intro: Associative Role Learning11 minutes
Principal Component Analysis (Part 1)3 minutes
Principal Component Analysis (Part 2)7 minutes
Intro to Linear Regressions6 minutes
Linear Regressions with MongoDB9 minutes
Decision Trees Part 13 minutes
Decision Trees Part 211 minutes
Decision Trees Part 32 minutes
Intro to Clustering Algorithms7 minutes

12 assignmentsTotal 305 minutes

Pearsons-Rho15 minutes
Associative Rules on Titanic Data Set20 minutes
Linear regression on Titanic data set20 minutes
Decision Trees on Titanic Data Set20 minutes
K-means usage on Titanic dataset20 minutes
Intro to Week 330 minutes
Intro: Associative Role Learning30 minutes
Principal Component Analysis30 minutes
Intro to Linear Regressions30 minutes
Linear Regressions with MongoDB30 minutes
Decision Trees30 minutes
Intro to Clustering Algorithms30 minutes

Instructors

Instructor ratings

(17 ratings)

Nathan Leniz

MongoDB Inc.

1 Course12,622 learners

Offered by

MongoDB Inc.

Learner reviews

5 stars
56.06%
4 stars
33.33%
3 stars
6.06%
2 stars
3.03%
1 star
1.51%

Showing 3 of 66

Reviewed on Sep 9, 2019

Very clear introduction to the MongoDB Aggregation Framework. Interesting and comprehensive data analysis examples as well!

Reviewed on Jul 12, 2019

The course was excellent, but there were some problems: - There were mistakes in some assignments codes. - Some codes mentioned in the lectures were not available in resources.

Reviewed on Oct 21, 2020

Great course! It covers the essential and advanced uses of MongoDB. I highly recommend it.

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