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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

Challenging course. Worth the time and effort I put in. Instructor and the material is excellent. One suggested improvement could be the guidance for assignments could be tagged better. It takes a lot of searching before one can find the right material. Both Sophie Greene and Yusuf Ertas provide excellent support. But if the guidance or tips can be made easily disoverable, it would save a lot of time. Highly recommend.
Value of the course is mostly about personal research and work to complete weekly assignments (whose allocated time is vastly under-estimated). There are some useful examples in the videos but the course would benefit from developing a more explanatory teaching framework to understand and navigate Python. TAs were awesome to support and coach during assignments.
The assignment wordings are ambiguous. Clear instructions are needed with a sample of the end product showing data type/format/shape.
Generally very interesting and helpful course. Lectures could have been a bit meatier (I spent a lot more reading through the docs than most other Coursera programming classes to complete my homework). It's one of the few Data Science sequences that seem to be offered in Python, rather than R, which was a big motivator for taking this particular class (the transition to working with big data with for example pyspark should be significantly easier). As an side: one thing that would be helpful is if learners could see the solutions after submitting/getting a grade. Learners would stand to learn a lot by seeing the 'better'/'accepted' answers -- even though I aced the assignments, I _know_ my code isn't as "pandorable" as it could be. That remains one of (a few) bigs differences between a MOOC and in-person teaching...
In my view, It is recommended to study a book on Python data analysis tool-kit panda and numpy. The course video quality is very good, instructor voice is clear and load. I highly recommended to take this course who wants to be a Data Scientist.
I dont put the biggest mark because sometimes you have spend a lot of time trying to resolver a problem with and csv file and it is something related with format....
Really good course!
It is necessary to explain more some definitions and some assignment are not entirely clear. Excellent response from the staff
This course is really helpful for learning purpose
The tutorials should be similar to this : https://www.youtube.com/watch?v=xvpNA7bC8cs&t=773s YouTube explain the python codes better than whats explained here.

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