Excellent course to learn about pandas and numpy
Ratings and Reviews for Introduction to Data Science in Python
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Reviews and Ratings
Reviews
Great introduction to the basics of the pandas library with plenty of opportunity for self-driven learning and exploration.
An excellent course, which requires more self learning than what is taught. I extended the course and completed the final assignment in a week. The assignments involving data cleaning actually helps a budding data scientist. Documentation, Stack Overflow for assignments is a must which can boost your understanding not just for this course but for a lot more. My personal satisfaction about this course is mainly stackoverflow part which helped me to understand the lectures weeks ahead. But application of the concepts on assignments is a difficult one which can only be mastered after practice. Thanks to all mentors, especially "Sophie Greene" whom I followed a lot. Her debugs, algos and code checks have actually helped me to understand both python and Pandas better.
The assignments of the course are hard and make you go deep into python, to try to find the answers. I spent more time than I expected on it, but once my target is knowledge I really enjoy. Recommend! (Attention: It is strongly recommend knows programming before enroll)
The course was very helpful. Learned a lot from the problems.
This has been a eye opening experience, it allows you to thing about normal life and the way we handle data differently, the course is very bast to be an introduction level but I didn't mind it at all, I'm happy it is this way.
One of the worst course I ever take in coursera. The instructor just writes codes on front of us without explanation.
It is a good course, but a little difficult for a newer.
This course is great but you have to be a good self learner and explorer as it is very difficult to catch up with the speed of the course. The content they tell is not enough but is great for a self start.
Brilliant course which introduces you to Pandas module. I am very eager to participate in follow-up courses.
