Ratings and Reviews for Introduction to Data Science in Python

The course will teach you basics of the Pandas library, which is an essential skill. It also gets involved with some issues related to data cleaning, which is also essential, but felt a little like There is very little peer-to-peer learning because there are no practice sets that peers can talk over, only assignments which Coursera's Honor Code naturally prohibits discussing. Hence, the learner never sees optimized code for solving real-world problems. I'm pretty sure I would have learned more if this course had provided more practice problems for learner discussions. For example, very inefficient iterations can be used to solved problems that should be solved in better ways with Pandas. I know that sometimes I was doing it right, but I think sometimes I wasn't and it would have been nice to see better code.

Best way of learning! Assignments are really challenging and fun to do.

It is a good course

When you are here, after learning Python you don't expect from your instructor to tell us that he is importing a library by using an XYZ command but you surely expect from him to tell what that library does. It took so much extra effort to complete the course.

This was a very tasking yet interesting course for me. I loved the challenges, follow up quizzes and assignments.

Awesome Course gives a clear insight about the topic

Good Course for a beginner, but needs lot of patience

This course enables me to practice a lot on my programming skills. This course emphasise a lot on hands-on exercise and require abundant amount of self-learning over the network. The friends and teaching staff in the discussion forum are also friendly and the forum is so useful in solving the assignments.

good

Pretty difficult course I would recommend the instructions to be more clear and assignments a little more easier .