Is a great course, I don't give it 5 starts not because it is pretty tough (at least for me) but because the lectures are very simple compared to the HW. If you like to be challenged, I fully recommend this course

The descriptions of the tasks are awful. It's not really clear what to do. In the forum you can see, that many other people have the same problem...

The explanations are excellent, and I really enjoyed the course.

Overall the course is pretty comprehensive and requires quite a bit of experience in coding. The lectures are precise and directed. However, some lectures should incorporate further explanation and clarification.

The lectures could have have been more detailed as learning self might be difficult foe beginners. The Assignments were very good and an active discussion forum helped in solving those.Overall I liked this course

a brief introduction to data science in python,and how to use the library 'pandas' and how it plays an important role in data cleaning is being taught,indeed a good course to kickstart for data science in python

This is good course as a whole, but lecture videos are a little short for assignments and sometimes assignment's definition is not clear. So it's hard to complete assignments without the help of discussion forum.

Thanks God I'm just after "P4E"-specialisation, but anyway it was difficult. Additional resources was needed through all assignment. Real help was/is/will "Learning Pandas'-book!

4-grade just for difficulty reason

The questions for the assignment could be more clear with a sample output. Also, the instructions for the assignments could be clearer. Apart from these, the course is fantastic to get started with data science.

Lectures are VERY dense with material. I needed to pause the video and study the learning point (using jupyter notebook and Python API) to absorb it. That said, I was new to Python, which also slowed me down.

The course is fantastic. Lectures are clear and informative. Assignments are well-designed and encourage studying. Grader is not great, this adds up to frustration and reduces the overall score for the course.

Felt like a real college course in that more learning occurred outside of the lectures.. I'm excited to see what the new course version will include, it looks promising based off what they say will be added.

The course is really good and easy to learn. Only thing is that the content is less. Maybe because it's just the introduction. But overall, course is good and one really get to learn basic about data science.

This course is amazing. Explanation are good. Assignments really provide some exciting challenges which create curiosity to find multiple ways of achieving a result. Looking forward for same with next course.

It's a bit fast-paced for new learners nut is a perfect way to dive into the applied world of python for intermediate learners. I would highly recommend this course(12/10).

Thanks for the AWESOME experience!

I thoroughly enjoyed it. The pace for week 3 and 4 were a bit fast given that it was 1 month course (at least for me, as someone with full-time job). I look forward to playing around with Pandas and Numpy.

It was an interesting course i came to learn a lot of new things under python like how to use the pandas, Matplot and Numpy libaries. It has taught me how the data are being process under the pandas libary.

This course is quiet hard as compared to Python 3 specialization courses. Use of interactive textbook just like in Python 3 course would have been better along with jupyter notebook. Course content is good.

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.