Ratings and Reviews for Introduction to Data Science in Python

Wow, this course was intense but worth it!

A great introductory class to data science with challenging assignments to build a solid understanding of pandas and numpy .

It is useful, but there are some notable flaws. My biggest problems were with the clarity of the assignment questions (some were unacceptably vague) and the feedback that the autograder gives. Fortunately, fellow classmates on the forums are extremely helpful in figuring this all out.

Excellent class. Needs a little work to make sure assignments a little more clear, but with a bit of work from the student, it's a great learning experience.

The jupyter notebook made this a horrid experience. Plus Coursera really doesn't want you to bother them with your silly questions, relying on peer-forums. If you scroll through the week's discussion forums, many student posts go ignored. You can't drop the course past the second (I guess) week so the system will keep on keeping on long after you've given up on trying to figure out the janky notebook thing. Will not return to Coursera for any reason. Breathtakingly bad experience.

Very knowledgeable professors, but very little explanation or actual 'teaching'. Graded assignments require a lot of self-education.

I like the content covered in the lectures. That's very useful for me to clean data parsed from webpages. There is one thing I hope the course can improved, which probably has been mentioned in the forum for many times: the auto-grader is not flexible that it doesn't grant any points to answers that is slightly different from the submitted form (e.g. upper/lower cases, white space, etc.) and we have a hard time figuring out what exactly the auto-grader is accepting. I would suggest modifying the auto-grader such that it allows flexibility in answer acceptance, or breaking down questions into smaller parts (more partial credits) and give more precise/detailed description on the format of answer expected.

Really good course BUT be prepared for a very fast pace of the lectures. I'd placed in the "advance beginner" or "intermediate low" level, therefore, you need to have previous knowledge of Python. As in College, lectures and assignments are somewhat related, but you will spend some additional time investigating by yourself to get the appropriate responses. Again, just like College where Lectures are level 2-3 but assignments are level 7-8 (out of 10).

I thank so much professor Brooks and the team of the cours.

Awsome course with good balance betweern Challange,Reasearch and Progression.