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Ratings and Reviews for Introduction to Data Science in Python

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Reviews and Ratings

4.5

23,484 Ratings from Coursera

Reviews

It's good but I'm unhappy with the programming tutorials ie. Jupiter note book section no explanation is given
For someone knows basic python only some of the things are explained really fast. However, you can catch up during the assignments. A lot of time for the assignments spend on finding possible solution on the forums. From one point of view it is good - so you can find you own style. Form another, if you work full time and have busy schedule - it will take much longer to finish all the assignments.
I really enjoyed this course, but i am so glad I came prepared and had completed other Data Science tracks on other online sites (Codecademy, Dataquest, DataCamp, etc). I had to put all the skills learned elsewhere to good use in this course. The course was challenging--which is why I wanted to take it! I feel like I had to problem-solve, code, and work with data at a high level.
It is a very nice course, providing you are able to pour a LOT of individual efforts into it, especially into the assignments. The knowledge required to finish the course is far beyond what they taught. I spent 70% of my time in the course on Stackoverflow or Google, or asking my friends. However, I admitted I gained huge amount of knowledge and experiences, as well as "individual research skills" and confidence, from this course. I would recommend going through this course in a much shorter period of time than recommended (like in a week), during your vacation or week off.
Best Course ever!!
Good exercise, very practical course, teach and self learning combined.
Even though I am already a heavy user of Pandas in my daily work, this course forced me to learn several useful features that I had never knew about or bothered to learn. The exercises were challenging enough that it took a decent amount of time and effort to complete them. There were many technical challenges with the autograder and the coursera hosted notebooks that made this more of a challenge than it should have been.
Content was well paced and well presented but the auto grading submissions took a long time to get used to and were very stressful. The recommended time to complete the assessments was also very optimistic, most assessments took me easily double the time suggested.
I would highly recommend this course anyone who likes to learn basic fundamentals of Data Science. I would like to say big thank you to this course instructors. Again, Thank you coursera.
Though assignments are tough, but mentor support in discussion forums are incredible :)

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