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.
WZ
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A great introduction to fitting data in python.
The core principles and measures are well explained.
The only slight minus point: No information about the interpretation of fitting parameters.
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.
By Matthew A
•May 12, 2019
The more advanced portions of the course felt a bit rushed without enough examples and hands-on work to really reinforce the concepts.
By Jan M v d B
•Jul 24, 2021
Learned a lot about statistical analyses in this course, but the easiness of the assignment and grading quizzes make it unfulfilling.
By Wesley C
•Oct 3, 2019
Other than some minor errors and bugs, I think this course gave good introductory material that can be supplemented with other books.
By Cindy N P P
•May 10, 2020
There should be another grading method for the final task, that a system is in charge of assigning the grades, not other classmates
By Oscar C
•Jan 21, 2020
The course is well designed, however, in some videos exist misspelling functions that may confuse when you try to test on your own.
By parimal k
•Mar 9, 2024
Great course for stepping into Data science with Python as a Tool; need more scenario based quizzes and practice jupyter notebooks