MongoDB Aggregation Framework
Master MongoDB's powerful Aggregation Framework for complex data analysis and machine learning workflows.
Master MongoDB's powerful Aggregation Framework for complex data analysis and machine learning workflows.
This comprehensive course teaches MongoDB's Aggregation Framework for advanced data analysis. Students learn essential aggregation operations, flexible schema design, and machine learning integration. The curriculum progresses from fundamental pipeline operations to advanced topics like entity resolution and machine learning workflows. Through hands-on exercises, participants master data transformation, analysis, and the implementation of machine learning solutions using MongoDB's native capabilities.
4.5
(60 ratings)
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Instructors:
English
English (Original), Deutsch (Auto), हिन्दी (ऑटो), 18 more
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What you'll learn
Master MongoDB Aggregation Framework fundamentals
Build complex data transformation pipelines
Implement flexible schema designs
Perform entity resolution and data migration
Integrate machine learning workflows
Analyze and transform data at scale
Skills you'll gain
This course includes:
193 Minutes PreRecorded video
36 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 3 modules in this course
This course provides comprehensive coverage of MongoDB's Aggregation Framework through three detailed modules. The curriculum progresses from fundamental aggregation concepts through advanced schema design and machine learning applications. Students learn to build complex data pipelines, leverage MongoDB's flexible schema capabilities, and integrate machine learning workflows. The course emphasizes practical application through hands-on exercises and real-world scenarios.
The Fundamentals of MongoDB Aggregation
Module 1 · 7 Hours to complete
Leveraging MongoDB's Flexible Schema
Module 2 · 5 Hours to complete
Machine Learning with MongoDB
Module 3 · 6 Hours to complete
Fee Structure
Instructors
Curriculum Engineer
Nathan Leniz is a curriculum engineer at MongoDB. Nathan has helped build a world-class online teaching platform, as well as taught programming fundamentals to thousands of students. Prior to MongoDB, Nathan disarmed bombs for the United States Army.
Senior Curriculum Engineer
Kirby is a curriculum engineer at MongoDB. While studying computer science at Purdue University Kirby founded BoilerMake, Purdue's first large-scale hackathon.
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4.5 course rating
60 ratings
Frequently asked questions
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