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.
May 5, 2020
I started this course without any knowledge on Data Analysis with Python, and by the end of the course I was able to understand the basics of Data Analysis, usage of different libraries and functions.
By SOUVIK B•
Aug 31, 2018
Good course if you are beginning data science. You don't need much of python experience but will be better to have if you want to quickly finish the course.
By Sreelatha V•
Jan 5, 2020
Very detailed and guided course that provides an overview of data analysis in Python with short assignments after each video and interesting lab courses.
By Guilherme V•
Jul 3, 2020
insufficient statistic, as the name of the course is Data Analysis, i would expect more classes about the different distributions of data, pdf and pmf..
By Katarina S•
Mar 22, 2020
One of the best courses in the IBM Data Science Specialisation.
I would like to have more quiz questions and opportunities to practise what was covered.
By Shayan K•
Sep 12, 2021
There must be a slightly high level of Quiz, assignment and Project and must have to add some more advanced concepts about statistics and probability.
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 F 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.
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 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 Venkatesh E•
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 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.
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.