Learner Reviews & Feedback for Applied Data Science Capstone by IBM
About the Course
Top reviews
AG
Jul 6, 2020
Thank you for this course. I get know experience and knowledge in using different kinds of online tools which are useful and effective. I'll use some of them during my lessons. And lots of thanks. JR
CS
Jun 15, 2023
It's a great course to get a comprehensive background on Data Science (including ML) and lays the foundation for more advanced courses. It touches on all the areas that are required for data science.
926 - 950 of 1,024 Reviews for Applied Data Science Capstone
By alberto i
•Aug 1, 2019
Kind of difficult for beginners
By 王童燕
•Jan 7, 2020
Interesting projects included!
By Sandro H
•Feb 10, 2023
Nice, but not really deep.
By Napattarapon P
•Sep 11, 2019
Useful course for starter
By Muhamad H R
•Oct 10, 2023
Good for beginner
By Shahid R
•Jul 13, 2023
Too Much PPTs....
By Hardik R S
•Feb 24, 2019
Little bit hard
By Robert B
•Apr 20, 2022
A great course
By adetunji p
•Feb 22, 2022
it was awsomee
By Deepak N
•Aug 12, 2019
Good exposure.
By YIFAN H
•Nov 10, 2019
真的难，对我这个初学者来说
By Praveen
•Sep 15, 2019
great course
By Ernesto C M P
•Jan 16, 2022
good course
By zoubair a
•Jun 2, 2020
good course
By Magnus B
•Jun 10, 2019
Fun course!
By Mustafa M M E
•May 28, 2023
very good
By Abdulla M
•Nov 6, 2020
very good
By Amanullah K
•Oct 31, 2020
Excellent
By Satishkumar M
•Jan 9, 2020
Average
By Prayag P
•Jul 30, 2020
Good !
By Romero R J Y
•May 25, 2024
nice
By Narmeen i
•Sep 10, 2021
good
By Andrian R N
•Aug 15, 2021
Cool
By Khalid h
•Oct 21, 2024
ok
By Ben G
•Aug 5, 2024
Let's start with the good: The activities. These are great reviews of what we have learned in other IBM courses, with some new stuff thrown in. I learned a lot. So why only 3 stars? The course has several basic problems that caused me to waste a LOT of time. 1) Unintelligible instructions/materials. There are so many grammar spelling errors, things copy/pasted into the wrong place, etc that it can be quite hard to follow. This is common in IBM courses but in this one I really felt it. 2) Technical issues. Labs crashed several times for me. In the Dash lab, it was particularly annoying, as the work cannot be saved in the lab itself, and so I lost all progress every time there was a crash. To make things worse, the staff moved several of my labs to different locations, forcing me to redo several hours of work (hopefully this is just a once-off problem though). 3) Some strange activities. For example, how does finding everything that starts with 'CCA' help us to answer the research question? Yes, it might be good practice in it's own right, but why can't we get practice by working towards the stated goal instead of by doing random time-filler activities?