CT
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Good course, sometimes moves a bit fast in the final modules and the labs are quite tough but great course and would recommend to broaden your knowledge of coding, data analysis and visualisation
LM
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Very good course that goes straight to the main topics needed to work on data analysis using Python. This will kick start my learning process which will be followed with a lot of coding practices.
By Frank M
•Aug 30, 2019
I would have given it 5 stars but they barely went over polynomial regressions and pipelines and it was a major portion of the end of class assignment.
By Wenyu X
•Apr 2, 2019
pros: well organized, clearly explained each step, useful
cons: frequent errors in both videos and the lab, especially on the questions part in the lab
By Maksym S
•Sep 3, 2019
Final exam was too complicated. I have 2 masters degree and for me it was clear, but for other it is too complicated.
P.S. it is my personal opinion
By BINAY K
•Jul 6, 2019
Course is good, but in this short course it is covering lot of thing thatswhy lot of topics are just touched intead of going little bit deep into it.
By sergio c c
•Jun 20, 2019
You learn a lot, good intro to data science with python. Labs have typos and can be confusing at times though, the only thing that could be improved.
By Aurangazeeb A K
•Oct 13, 2019
A very interesting and easy course. Anyone can catch up with big concepts with little effort. Thank you Coursera and IBM for this wonderful course.
By Sucheta
•Sep 2, 2019
Course is nicely designed and pare explained well.
I would have liked to see the steps along with the final answer to the peer assignment questions.
By zara c
•Oct 31, 2020
Very good course. I wish there were more hands on exercises. We only had a chance to practice in one lab per module; otherwise, I learned a lot.
By Ponciano R
•Feb 26, 2019
Great course to start learning python applied to analysis, but after this, I prefer to use R. Less complicated and can obtain the same results.
By Gourav K
•May 31, 2022
The course material is good. However, I found the videos a bit fast and the automated audio speech is not so good. The lab sessions are great.
By S. S
•May 17, 2019
I find this course useful. But some of the contents are little advanced all of a sudden and feels some important explanations are not covered.
By N150722 E V
•Jul 21, 2019
Through out the course i have learned alot like data visualisation mainly.I think i have completed successfully basics for machine learning.
By Randy G
•Sep 26, 2018
I feel like this section needs some more hands on labs. Great topic over view and application. Not to much in the way of math unfortunately.
By Amir M
•May 18, 2023
Very informative course, overall it is very well-done, however, there are some issues regarding a few depreciated attributes or parameters.
By Alberto c
•Mar 23, 2023
Exercises could be more difficutl, however I really appreciate the content and the way the course is given. Congratulations to the authors.
By Saurabh A
•Aug 1, 2020
Good course for beginners. Can introduce little more concepts such as multi-collinearity, model accuracy etc to make it even more complete.
By Victor D S C
•Jul 7, 2021
A great explanation of the concepts and methodology in data analysis , i wish we couldve gotten more peer reviews like the last excercise
By Shreyas S
•Jan 31, 2020
It was a good course overall. Would prefer explanations at a slower pace and more examples for each of the techniques explained.
Thank you!
By Kunal J
•Nov 14, 2019
Content : 5/5
Labs : 5/5
Final Assignment : 3/5 (It was quite easy to complete as there we instructions and code already written for you).
By Prasad T
•Jan 29, 2021
need better practise questions preferably to write program instead of multiple choice answers plus needed more theory of the topics given
By Jonathan B
•Jun 25, 2020
Great material. Very comprehensive. The only knock is sometimes the slides, notebooks, and quizes have typos or are not super-organized.
By Aurelio L G
•Jan 17, 2020
Una visión muy amplia con acercamiento a una amplia variedad de herramientas. Faltan más ejemplos de uso, ejercicios y casos prácticos.
By Subhasish D
•Jul 13, 2020
The learning are too basic, trust me in real world things are much critical. Probably coursera can help us with that kind of knowledge
By William O
•Mar 27, 2020
One the greatest course of Data Analysis. The info given about statistics is very important and accurate.
Thank you to the instructors.