Learner Reviews & Feedback for Fundamentals of Scalable Data Science by IBM
About the Course
Top reviews
The contents of this course are really practical and to the point. The examples and notebooks are also up to date and are very useful. i really recommend this course if you want to start with Spark.
Great Course but this would have been even a better course if more concepts and details were covered in it. Anyways, still a great course for beginners
376 - 400 of 426 Reviews for Fundamentals of Scalable Data Science
By BAUDRY S
•The functions we need to complete looks quite messy, it'a little bit overwhelming especially for people who start with spark.
By Camilo A S B
•I felt the course is out of date and have worked on these classes to update it so that I can run the video classes again
By Mohamed M
•the assignment is required to be in sparkaql functions however the course is just using spark with built in functions
By Nikhilanj P
•Too many legacy issues. Would be better to start a new course altogether and maintain same syntax,etc.
By George H
•Analytically very simple, and fails to explain much of the syntax needed for the assignments.
By Mehdi S
•The videos have not been updated to fix the errors (there is just a hint for a correct code)
By Cesar R
•Very basic lessons. Definitely what you would expect from an Advanced course.
By Aniket J
•Labs are pretty hard. Need to research immensely. Knowledge is great though.
By Mohammed E
•The Course is quite basic, however it's useful in building up my knowledge
By Saif U
•The structure and material quality needs complete revision and improvement
By Xuan H N
•More coding please. One doent learn much just by filling out couple words
By Israel F
•Too many theory for such little practice. But not bad as an intro.
By Gianluca G
•A little more deep tutorials on spark language would be useful
By Francesco d C
•the assignments could have left more freedom to the student.
By shubo w
•Feel like the lecture and assignment are a bit irrelevant
By Robert H
•Nice subjects notebooks could be more in-dept
By IVAN I
•too easy, programming part too stupid
By 吴芃
•seems it is not well prepared
By Feng L
•too simple
not advanced
By Anderson E A G
•it's not enough clear
By Leyre
•Low level
By Parker K
•The concepts behind the use of Spark are not explained very well. Otherwise, the content is very simple. I thought the value of this course would be in learning Spark by applying it to concepts that I already know well, but the course didn't do a very good job of thoroughly teaching Spark concepts. I don't really think this course is appropriate as part of an "Advanced" data science series. The material is extremely basic. I didn't get much out of this course. I hope the others in the series are better.
By Lei Z
•Not very good. There is no logic in the lectures and the exercises. I have been a reputable pure mathematician for many years. Taught several linear algebra courses. But when I hear the "linear algebra" taught by Romeo Kienzler I am deeply confused, completely don't know what he wanted to say. The exercises on "linear algebra" are equally bad, confusing, with no logic.
By Ian H
•A disappointing amount of the material presented is out of date (e.g. what environments to use, Watson vs 'Data science experience' )--while fine for some cases, it too frequently borders on intrusive at best to desperately opaque at worst. Clarity of presentations could also be greatly helped. Perhaps focusing more on the why? and so what? aspects would be helpful
By Aner W
•The explanations are not clear enough- the rational for using spark is not clear enough (missing context explanation, etc)
missing written lecture notes (in bullets- summariezed)
It would be helpful if the lecture text would be integrated in the video itself and not below the video presentation- harder to follow
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