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.
Decision Trees Part 3
Loading...
Avis
9 sept. 2019
Very clear introduction to the MongoDB Aggregation Framework. Interesting and comprehensive data analysis examples as well!
21 oct. 2020
Great course! It covers the essential and advanced uses of MongoDB. I highly recommend it.
À partir de la leçon
Machine Learning with MongoDB
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.
Enseigné par
Nathan Leniz
Curriculum Engineer
Kirby Kohlmorgen
Senior Curriculum Engineer
Explorer notre catalogue
Rejoignez-nous gratuitement et obtenez des recommendations, des mises à jour et des offres personnalisées.
Coursera Footer
© 2021 Coursera Inc. Tous droits réservés.
