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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

This course would be great if you are experienced in Python or any other programming language. The title ' Beginner Specialization. No prior experience required.' is very misleading and if you do not have any experience, you will struggle a lot especially to complete week 3 & 4 assignments. It makes you think and requires a lot of self-study, which is a good way to enhance our knowledge and skills, however assignments are way too challenging for those who are 'beginners' or have little real-world experience. I would not recommend if you do not have much confidence in your programming 'experience'. Having said that, teaching team is great - very knowledgeable and supportive.
I would recommend the coursera online training session need more improvement. Please look at this youtube video. this will give you some fair idea what do i mean. https://www.youtube.com/watch?v=V0AWyzVMf54 During the session speaker need to be visible on top corner and they need to present with more examples during learning this will help and learn fast. I struggled a bit following your videos going back-and-forth with the given materials. I also struggled solving the assignment due to confusing questions. Not much clear what is required to solve the problem. it would be helpful to provide some hints for each assignment.
Assignment 3 was absolutely ridiculous in the sense that the implementation of pandas functions depended on data cleaning in the first step for which there was no help . No response from peers or moderators on my queries. Had high hopes when I joined the course. I feel cheated now. Because of some issues with the data cleaning step, all my following answers were incorrect and I couldn't pass the course in time.
Fantastic overview and support
Overall this was a great class. The programming assignments were the most valuable part of the course for me and were good practice for wrangling data with pandas. I did find some of the assignments asked questions in a way that were confusing and it was difficult to debug the answer based on the automatic grader. However, I'm looking forward to when the rest of the specialization is available, as this looks like a good track!
Very Useful and practical
The course is very good to introduce people with pandas usage, however, the autograder and little data issues on the assignments costs a lot of learning time.
In my humble opinion, the Python ramp-up in week 1 is not sufficient to effectively complete weeks 2-4. This course necessitates a bit more practice in Python. The lectures are cut-and-dry, and I recommend frequently referencing them when completing the assignments. I spent about 1.5x the listed time-to-complete on most assignments. On the flip side, I gained a lot of knowledge by putting forth full effort.
Very good content. Challenging assignment that force you to learn more yourself rather than just apply what you've heard and forget it in 10 minutes.
Please make longer tutorial videos. Sometimes it becomes too fast to cope up with.

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