i find this to be a great follow up from the Python for Everyone course. The course introduces python functions which are commonly used in data analysis and the course assignments are practical and useful.

Very well structured course. I would really appreciate if there are more video lectures. For someone like who is not from CS background, self-study topics can get really difficult.

Apart from that loved it.

This course is a great introduction for the basics of data cleaning, searching and proving hypothesis. The main con is that sometime the question in an assignment isn't that clear, but overall, thumbs up.

This is an excellent course for laying strong foundation for data science skill-set.

The course assignments are very thorough and reference/further reading resources are very handy.

Many thanks for this.

The structure of the course could be more organised (the current content is more scattered). In that way, the content could be more understandable for people who are not that experienced in python coding.

The course content is great - Prof Christopher seriously made justice to the content. He is great instructor. He has presented course in right manner, with right speed.

Looking for more courses from Him.

The entire explanation of each topic is good but it is too fast. There should be more number of examples for each topic and for various cases. Other than that, It was very beneficiary for me. Thank you!!

Great introduction to Python, a few strange buggy bits and the autograding/feedback is sometimes not very helpful for actually figuring out what you did wrong. The discussion forums are useful for that.

Really loved working on the assignments from the course, it was really helpful for me to learn by doing things practically, however the course video content could improve thus giving it a 4 star rating.

The explanation and content in teaching video is too brief for the assignment. It cannot not provide sufficient concept and knowledge for student to complete it, especially who not familiar with pandas.

Thank you for the very elaborate and very beginner's course. The difficulty quickly ramps up and the questions within an assignment often differs substantially. This can be seen as both a pro and a con.

Great Course.!The assignment problems should have been more comprehensive. The auto-grader needs more getting used to. Should introduce practice notebooks to consolidate the concepts being worked upon.

Very good course.

This is somewhat complex, prior knowledge of python is a must. There is an interesting gap between lessons and practical exercises but with some reading is possible to solve everything

I found this course appealing because it was more practical based.it helped me alot in getting hands on experience and most of all I have learned how to solve real world problem with python libraries

Assignments are way tougher than what is taught in the class, but they are challenging and the help in discussion forums is speechless. Without that, completion of assignments will take too much time.

Good course but at times very tedious assignments that require a lot of independent trouble shooting and stamina that someone with little programming experience may not have. Anyway, very interesting!

super hard course I enjoyed it but the thing that I didn't like specially when this is supposed to be the learning phase the assignments were hard and it sometimes pushes you to look for the solution

Christopher Brooks was exceptional but the other guy was going too fast.

Overall it was a good course. The assignments weren't too tough but the assignment's language made it unnecessarily look tough.

The course is good but the oral explanations are at times very tiresome. A more constructive approach in which the explanations are followed by step-by-step examples whould be far better.

Best regards

Quizzes were very challenging and interesting. I learned alot. The main drawback in this course is that the materials are insufficient to answer the assignments.And some questions were not so clear.

Excellent content and up-to-date material. Dont get 5th star because despite very well crafted Exams, there are evidently some problems with explanations and the "grader" ends up being too restrict.

Assignments are tough compared to the course lecture material. Therefore, alot of self learning is required other than the lectures. There should be more study material covered in the course videos

The speaker is so dull, And the way he speaks doesn't motivate one to learn the things with interested. The speaker of the videos should be the one who speaks passionately about what he is saying..

A very nice introduction to libraries/skills used by data scientists. The auto-grader was extremely annoying though. Also, I felt that some of the questions on the assignments were a bit ambiguous.

Massive learning curve. I was going to recommend this course as an intro to Python/Pandas to my colleagues but the content ramps up too fast for those with only introductory programming knowledge.