Ratings and Reviews for Introduction to Data Science in Python

Assignments barely reflect the course contents

Its a wonderfule journey with the course. I learn lot of things from this course.

Hard for beginners.

The course assignment was very hard—maximum time I didn't have any clue what I was supposed to do. The course instructor was not up to my expectation. I didn't understand what he was trying to teach me. The pandas version in this course was ancient, which Showed exception most of the time with the functions. I wouldn't suggest anyone take this course if really wants to learn anything. For a newbie like me in Python, I had to go back and forth to Stackoverflow now and then.

Happy to learn in coursra

Gave me an insight of how Data Cleansing, Eliminating Noises and running Statistical Analysis can be done and it gave me an exposure to Data Science.

Extremely recommended to gather the basic fundamental concepts of Data Science. The external resources provided are extremely informative. The assignments encourage exploring on our own. The respected instructor's way of teaching and narration is intuitive.

The course was amazing but it seems to have become outdated. Firstly, some of the codes that worked perfectly on my personal Jupyter did not function correctly on Coursera's Jupyter portal. Also, some discussions in the forum gave some answer hints that were outdated. On Week 4's assignment last question, i.e. the t-test one, I wasted hours trying to get the pvalue 0.0027xxx which was hinted in the discussion forums by a teaching assistant. However, once I submitted my assignment with a different pvalue, I realized my answer had been correct all this time. Nevertheless, above doesn't undermine the fact that the lectures were amazing and coursework was designed appropriately.

This is a good course. It is challenging yet fun. Instructors are very helpful for the assignments. I believe I learned a lot from this course.

Good class and the topics covered are great. Challenging and useful. The lectures are a little light on detailed information and some text or deeper/more detailed lectures would make this perfect. You will spend a lot of time looking for things to support what you learn to really get an understanding.