Learner Reviews & Feedback for Data Analysis with Python by IBM
About the Course
Top reviews
RP
Apr 19, 2019
perfect for beginner level. all the concepts with code and parameter wise have been explained excellently. overall best course in making anyone eager to learn from basics to handle advances with ease.
VS
Jan 30, 2022
This is totally one of the hardest course I've ever taken on Coursera. It's packed with knowledge I did not know before. Definitely recommended for people who want to learn data analysis with Python.
2201 - 2225 of 3,062 Reviews for Data Analysis with Python
By ORPILLA, J T B
•Jun 4, 2025
N/A
By Sofia S
•May 24, 2025
Yes
By Oyarinu O E
•Jun 1, 2024
Yes
By Sai S P
•Apr 11, 2022
hhj
By Usman R M
•Apr 27, 2019
top
By YANAMADALA P
•Apr 3, 2019
gud
By Dipali K
•Apr 14, 2025
na
By Abhishek M
•Mar 5, 2025
..
By Rex S A
•Nov 29, 2022
..
By Yacin A M
•Nov 16, 2022
hi
By SHREYANSH J
•Feb 3, 2022
gg
By Talha A
•Sep 16, 2019
<3
By JAIRO M R M
•Mar 23, 2025
.
By Hamza o
•Oct 6, 2024
.
By Victor M C
•Jul 1, 2024
a
By Nikita C
•Mar 4, 2024
k
By LALITHA K M
•Nov 1, 2022
.
By Mohamed B
•Sep 26, 2022
a
By Chandra S
•Aug 7, 2021
By Ali C B
•Dec 20, 2020
.
By Juan P
•Apr 7, 2019
g
By Gaurav D
•Apr 3, 2019
E
By Nat N
•Sep 10, 2023
The Data Analysis with Python course is a decent intro into data handling, cleaning and some basic model building. I would say however that without prior Python or data analysis experience, it is probably quite a steep learning curve. I am from a science background with a bit of advanced maths knowledge, and the Model evaluation part got a little bit crazy even for me, I'll probably have to revisit it a few times. But you also can't expect to do a course like this and have a complete grasp of everything guaranteed, still have to be willing to do your own further reading/research outside of it, just like you would for uni. Some of the notebooks contained errors or the answers were spelled out which was a bit disappointing. My last project was graded immediately which was great, and I made sure to grade a couple extra to help other learners. Over all a great intro into some trickier topics, I enjoyed it.
By Armagaan
•Feb 23, 2019
I had to remove 1 star just because of the fact that a project is not included in this one. Yes, you do have labs but there you are forced to write code in way so that you don't encounter problems later in the notebook.
In a project or an assignment work, you have to play with variables and confusions and errors out of wonderland show up which lead to greater clarification.
The course in itself is great and undoubtedly good in functioning as a prerequisite for Machine Learning and surely I'd recommend it to anyone who asks for an opinion. The explanations are good and much easier to understand along with the visual demonstrations.
I'd advise that after learning anything during this course, look for some database online and play with it yourself(I didn't but had to regret cuz I'd forget the code again and again).
OVERALL : GO AHEAD, it's worth it
By Sid G
•Jun 11, 2019
The final assignment for this course is frustrating because it uses Watson Studio instead of the learning environment we've used up to that point in the course. There is registration, learning curve, additional complexity. One of the final questions doesn't accept a file upload. One of the questions asks you to calculate a regplot which takes about 15-20 minutes to complete. Nothing tells you to expect that until I finally found a student comment in the forum. I was so frustrated at one point I was ready to abandon the course because I didn't know what was wrong and couldn't find any help. The issues with the final assignment need to be addressed, but I'm glad I decided to stay with it. The course presented a lot of good material. I recommend the course, but I hope they will address the rough edges.