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MongoDB Aggregation Framework(으)로 돌아가기

MongoDB Inc.의 MongoDB Aggregation Framework 학습자 리뷰 및 피드백

4.6
13개의 평가
3개의 리뷰

강좌 소개

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....
필터링 기준:

MongoDB Aggregation Framework의 5개 리뷰 중 1~5

교육 기관: Nahid T

Jul 13, 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.

교육 기관: BOWEN Z

Jun 30, 2019

good course

교육 기관: Diana S

Dec 14, 2018

Very helpful for core basics to get started

교육 기관: Andrew M

Aug 23, 2018

The first two weeks are a good introduction to Aggregation and what you can do with it. The third week is more focused on using Mongo in machine learning applications and teaches you less new Mongo content and isn't in depth enough to be a good introduction to machine learning, but is a good way to get familiar with using the tools you've been shown earlier in the course. Some of the exercises are a little unclear in their wording but the course administrators are quick to reply in the forums and they update the workbooks in response to feedback. Overall would recommend to anyone who will be using Mongo and wants to get an overview of it's capabilities and some practise putting it into action.

교육 기관: Bernd L

Aug 12, 2018

Overall a good course. Some of the labs could be more intuitive and in one (I gave some feedback in the comments) has IMHO so false datasource. I also think that especially in Week3 some labs have to much information given and the student only has to do some minor tasks.