ZS
Jan 13, 2021
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.
EH
Jul 21, 2021
Nice course. Learned the basics of a lot of different topics. Nice to do a large Data Science project in the last part. So you can apply all learned theory
By George H
•Jan 10, 2020
Analytically very simple, and fails to explain much of the syntax needed for the assignments.
By Mehdi S
•Jun 7, 2020
The videos have not been updated to fix the errors (there is just a hint for a correct code)
By Alejandro M A
•Apr 26, 2024
The video quality is very poor, and the Python versions used in them are also outdated
By Cesar R
•Jul 6, 2019
Very basic lessons. Definitely what you would expect from an Advanced course.
By Aniket J
•May 13, 2020
Labs are pretty hard. Need to research immensely. Knowledge is great though.
By Muhammad e
•Feb 23, 2021
The Course is quite basic, however it's useful in building up my knowledge
By Saif U
•Jun 23, 2020
The structure and material quality needs complete revision and improvement
By Xuan H N
•Jan 2, 2020
More coding please. One doent learn much just by filling out couple words
By Israel F
•Dec 14, 2020
Too many theory for such little practice. But not bad as an intro.
By Gianluca G
•Jun 1, 2020
A little more deep tutorials on spark language would be useful
By Francesco d C
•Dec 4, 2019
the assignments could have left more freedom to the student.
By Steve w
•Sep 5, 2020
Feel like the lecture and assignment are a bit irrelevant
By Phumzile M
•Mar 27, 2022
Great foundational knowledge on scalable data science.
By Robert H
•Mar 26, 2020
Nice subjects notebooks could be more in-dept
By IVAN I
•Apr 16, 2021
too easy, programming part too stupid
By peng g
•Mar 14, 2020
seems it is not well prepared
By Feng L
•Dec 26, 2019
too simple
not advanced
By Anderson E A G
•Dec 25, 2020
it's not enough clear
By Oleg P
•Feb 18, 2024
Lack of assignments
By Arushi G
•May 10, 2022
Extremely advanced.
By Leyre
•Dec 7, 2019
Low level
By Parker K
•Sep 23, 2021
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
•Jun 15, 2021
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
•Jul 10, 2020
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
•Feb 11, 2021
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