Ratings and Reviews for Introduction to Data Science in Python

Very nice introductory course, I think it would have been good to include a brief introduction to visualization. But the statistics concepts and theory were very well explained plus the assignments were designed to apply all of the learned concepts, I would have liked to see more practical exercises done by the instructor as I didn't have a programming background.

Thank you all. I think Coursera's platform is a little confusing for this course

You will spend more time fighting the autograder than actually learning. You will learn more from youtube videos than this course. The only reason to do this course is for the certificate, even then, watch a youtube video or two before starting this course so that you can grasp the material. Also, before doing an assessment, watch the next weeks videos as the videos are a week lagged to the assignments.

Great Course. Only things is that I have some conflict with some of the question. Would be great if there is any way we could look at the approaches

Very good course with a solid introduction to data cleaning concepts in python and how to approach a few problems using different datasets and concepts. I already started applying the concepts at my work and the results were satisfactory. I totally recommend the course.

excellent

Challenging but definitely a good grounding to data science

Overall good! The assignments is challenging and comprehensive enough to let students think out of the box and reinforce what has been learned. The assignment questions mimics the questions asked in real-world Data Science projects that indirectly teach student on asking Data Science questions. The instructor can explains the concept in easy & intuitive way and teaches with coding example. This course will definitely horn your basic Data Science skills in Python especially using Pandas library.

This was an informative and challenging course. I definitely learnt a lot, and would recommend anyone with some previous pandas and numpy experience to take it! The only downside for me was understanding the question, I spent more time trying to understand what I had to do than actually doing it.

Awesome course!