About this Course

14,666 recent views

Learner Career Outcomes

50%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 19 hours to complete
English

Learner Career Outcomes

50%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 19 hours to complete
English

Offered by

Placeholder

MongoDB Inc.

Syllabus - What you will learn from this course

Week
1

Week 1

7 hours to complete

The Fundamentals of MongoDB Aggregation

7 hours to complete
15 videos (Total 63 min), 1 reading, 15 quizzes
15 videos
Course Logistics and Prerequisites2m
Aggregation Introduction4m
The Concept of Pipelines2m
Aggregation Structure and Syntax3m
$match: Filtering Documents3m
Using $project5m
Using Expressions3m
Cursor Like Methods Stages: Part 15m
Cursor Like Methods Stages: Part 25m
The $group Stage5m
Using Accumulator Expressions5m
$unwind4m
The $lookup Stage4m
$graphLookup Stage6m
1 reading
Setting Up Your Course Environment10m
15 practice exercises
Course Logistics30m
Aggregation Introduction2m
The Concept of Pipelines30m
Aggregation Structure and Syntax30m
$match: Filtering Documents30m
Using $project30m
Using Expressions2m
$project and Expressions30m
Changing Document Shape with $project20m
Cursor Like Methods20m
$group Accumulators20m
$unwind and $group30m
The $lookup Stage30m
$lookup20m
$graphLookup30m
Week
2

Week 2

6 hours to complete

Leveraging MongoDB's Flexible Schema

6 hours to complete
11 videos (Total 64 min)
11 videos
mongoimport11m
Importance of Schema4m
Exploring Schemas4m
Migrating Your Schema6m
Views7m
Supplementing Schemas with Accumulators4m
Tree-like Data in Individual Documents (Part 1)4m
Tree-like Data in Individual Documents (Part 2)7m
Expressive Lookup Basics5m
Entity Resolution with $lookup5m
9 practice exercises
Intro to Week 230m
mongoimport30m
Importance of Schema30m
Exploring Schemas30m
Migrating Your Schema30m
Views30m
Schemas and accumulators30m
Tree-like Data in Individual Documents30m
Entity Resolution30m
Week
3

Week 3

6 hours to complete

Machine Learning with MongoDB

6 hours to complete
11 videos (Total 68 min)
11 videos
Calculation of Persons-Rho9m
Intro: Associative Role Learning10m
Principal Component Analysis (Part 1)2m
Principal Component Analysis (Part 2)7m
Intro to Linear Regressions5m
Linear Regressions with MongoDB8m
Decision Trees Part 12m
Decision Trees Part 210m
Decision Trees Part 32m
Intro to Clustering Algorithms6m
12 practice exercises
Intro to Week 330m
Pearsons-Rho15m
Intro: Associative Role Learning30m
Associative Rules on Titanic Data Set20m
Principal Component Analysis30m
Intro to Linear Regressions30m
Linear Regressions with MongoDB30m
Linear regression on Titanic data set20m
Decision Trees30m
Decision Trees on Titanic Data Set20m
Intro to Clustering Algorithms30m
K-means usage on Titanic dataset20m

Reviews

TOP REVIEWS FROM MONGODB AGGREGATION FRAMEWORK

View all reviews

Frequently Asked Questions

More questions? Visit the Learner Help Center.