Learner Reviews & Feedback for Python for Data Science, AI & Development by IBM
About the Course
Top reviews
HK
Oct 19, 2022
This was an extremely informative course and I believe is perfect way to strt off your coding journey. The teaching style was understandable.detail oriented and very practical. Highly Recommended.
CD
Dec 11, 2019
All the basics for Data Science with Python. You wont be a master programmer after this class but you will understand the basics and computer logic in regards to data handling and cloud management.
7626 - 7650 of 7,775 Reviews for Python for Data Science, AI & Development
By MICHAEL K M
•Apr 22, 2020
Very confusing final assignment
By Edwin L F
•Oct 11, 2025
Se bloquean los cuestionarios
By Robin Y
•Aug 17, 2022
Python coding was very less.
By Sree S R K (
•Aug 6, 2021
Very less content.No depth
By Φάμπιαν « Χ
•Feb 13, 2023
only the most basic stuff
By Ehsan J
•Jun 4, 2025
some basics are missings
By Saumya J
•May 26, 2019
Not very user friendly
By Hugo V
•Aug 19, 2024
2 Modules are enough
By Cristian R
•Jun 25, 2025
No dan certificado
By Mahendra M
•Jan 23, 2026
very good course
By Ariel B
•Oct 15, 2025
Poor translation
By Mariano J C
•Jul 20, 2020
poor instructing
By prattya d
•Aug 3, 2018
robotic teaching
By ANOOSHA M
•Sep 12, 2024
its very basic
By Andrey P
•Feb 13, 2023
Waste of time.
By michael V
•Mar 10, 2025
muy confuso
By Yuhuan Z
•Jan 30, 2020
Too simple
By Kevin F
•Jan 23, 2020
Very basic
By Sparsh b
•Jul 11, 2022
Beginner
By Yuanjia Y
•Dec 30, 2019
too easy
By Samad R
•Dec 3, 2020
good.
By YCarpat D
•Jun 25, 2025
bien
By MANCHURI S R R 2
•Feb 24, 2021
ok
By prudgin g
•Dec 9, 2019
Lots of mistakes and imprecisions. In case of technical issues, staff will leave you alone with your problem after one formal and meaningless reply. The staff does not comment more than once on a topic, even if the issue is not resolved. Get ready to work through your problems with the help of a chatbot, that is in a beta development stage.
You have to deal with Watson studio in this course. Oh, this is such a pain... I couldn't even create a new project there dew to technical issues. After getting in a dead end with Coursera stuff I tried to use IBM support and that was so fun, just check it out:
reply1:
"Hello Alexey
blah blah blah
Regards Raino Soikkeli IBM Watson Services Support"
solution provided not working
reply2:
"Hello Alexey , My name is Nigel Terry and I on following up on this ticket as my colleague Raino is off-shift at the moment.
exactly the same blah blah blah
Please confirm and I will follow up accordingly. Kind regards, Nigel "
not working again. no wonder, he gave me the same instructions the first guy did.
reply3:
"Hi Alexey, Nigel and Raino are not available at this time. I also work with the IBM Watson Studio Cloud (WSC) team. I do not have access to your services (LOL, same as previous two guys), but I can list them.
exactly the same blah blah blah"
and not working again, to no wonder.
I am thrilled to find out how many people work at IBM
By Nicholas B
•Jul 28, 2020
I strongly suggest that you look into other providers for learning python for data science. As has been outlined by other reviewers, this is mostly a bad ad for IBM's Watson and there is little actual instruction for actually using Python. As a background I'm a EE with a lot of hardware coding experience (Verilog as well as Perl). I completed a specialization in Python from another provider and this gave me quite a bit of help as those classes were clear, with a good progression. In addition I've now written a bit of Python for work so I have a good base. This IBM course has, at best, cursory instruction on using Python, Numpy, and Pandas. The instructions are not clear, with poor sentence structure, and terrible grammar, making it difficult to follow along. Further, Watson is a confusing mess with instructions that use a prior UI, making it tough to figure out exactly what needs to be done to set up an environment. Avoid. Just avoid. Go to UMich or JHU. Anywhere but IBM. The only thing I *did* get from this class is that I don't want to go into Data Science: living in Jupyter notebooks is miserable. But then, I would also rather build things than write reports. Your mileage may vary.