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After completing this course you will be able to use Apache Spark to build ML models (e.g., Linear Regression, Gaussian Mixture Model, etc.).
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I found this course incredibly beneficial. Moving forward, I would like to see a bit more explanation of concepts and few extra workable examples.
By Jesus C
•Jul 12, 2020
The course teaches the very basics in a pretty simplistic manner. I think both videos and labs could be more descriptive and illustrative.
By César A C
•Apr 26, 2020
Very precise examples of parallel process to make predictions but may be not as demanding as other courses. The exercises where too easy.
By Jasper v H
•Jul 24, 2020
Good introduction to Spark, but very little playing around with ML.
Also, the UI for IBM Watson keeps changing and is really frustrating.
By Diego A D
•Jul 12, 2020
This course is outdated, and there are a lot of errors in the presentation.
I think most of the videos in the course need to be updated.
By Cristian M
•Nov 6, 2020
Quite difficult to understand, since the videos have plenty of errors and the tutor goes really fast with no explanations some times.
By krishna k
•Jun 3, 2021
Great course material, but the videos seemed to be confusing and counter productive. The videos are also old and need to be updated.
By Shivam S
•Nov 22, 2020
Not enough coding opportunities provided. More Coding assignments and practice will be better and more content is very much needed.
By Sanders L
•Nov 19, 2020
Course needs some polishing. Video content seems to be outdated and not delivered in a format consistent with other IBM courses.
By Ratnakar M
•Jan 16, 2020
Content was ok , IBM has better course production than this , sorry to say , i m very grateful for the effort
tutor took . Thanks
By TJ G
•Jan 11, 2020
This deeply need a much more detailed course on Apache Spark. You need far more than this course to actually get into PySpark.
By Binod M
•Aug 11, 2020
Good introduction but seemed rushed and felt like it had lot of gaps . But the explanations that were given were very nice
By Bear B
•Jan 22, 2020
Hard to listen video without subtitles.
It be better to show how create a notebook in the watson on the first lecture.
By ARSHAD S A
•Jun 27, 2020
It would be nice to have an updated course content video. Other IBM courses are much more updated and interesting.
By Vincent H
•Mar 5, 2021
Very hard to understand the instructor. The speech intonation needs to be improved as a first step.
By Gustavo E Z
•Oct 25, 2020
The english accent of Mr Romeo Kienzler is sometimes difficult to understand but knows the program
By Michael E
•Feb 3, 2020
There was not enough learning about how to use ApacheSpark, it was more of a show what it can do.
By S M A J
•May 23, 2020
I think representation should be better and provided coding notebook should be self explanatory.
By Regi M
•Jun 15, 2020
The instructor in this course lacks thorough explanation of the topics being discussed.
By Jahed N
•Feb 8, 2022
Too less material and exercise for PySpark. Some interesting statistical explanations
By Jacobo D L
•Oct 18, 2020
would like to have the video examples codes / link to follow the exercises hands on
By Jason A
•Feb 4, 2020
more hands-on would be nice, rather than having so much of the code pre-written
By Bhaskar N S
•Apr 4, 2020
Compared to other courses in AI Engineering, this one was a bit too technical
By Vitor A
•Jun 5, 2020
Content was ok. Not many insights why Apache is better/faster than others.
By Pravin K
•Jul 21, 2020
Not Clearly Understandable. Lack of Deep Knowledge provided on the course
By Sascha B
•Jul 26, 2020
Very high level, exercises could have been more challenging and hands-on