Ratings and Reviews for Introduction to Data Science in Python

nice

First off - Kudos to Yusuf Ertas for all his help and patience getting me through the programming assignments. I really appreciate his willingness to help! I believe a different text book would be helpful. I understand it is optional, however Wes McKinney has created a great reference manual, however he uses too many theoretical examples. I really need real-world, applied examples. He seems to get to into corner cases and shows you 10 different ways to do something, however no clear direction for a new students. I would also like to see the lectures topics more closely reflected in the programming assignments. Maybe additional assignements after each lecture. The student should then be able to pull from the lecture assignements to complete the final programming assignment. Need more direction and guidance on the programming assignments for an Intro course.

good

Amazing Course

In the begining, there were practice questions at the end of each video. As I progressed, I obseved that only assignments are there. I would request you to provide more questions so that we could better insights and get more hands-on experience. It will help us to build strong problem-solving skills. Thank You.

Very poorly done course, with no real structure and lack of real world applications. Just a bunch of material picked up from the book with a dry format resulting in very slow learning outcomes. I believe the course from UPenn is superior to this one. Do not recommend!

I loved the course. It is necessary to have a base on python, but I fininished learning a lot, more than I ever though I would.

In order to get used to the best coding practices, can you send me the corrected versions of the 4 assignements of this course please ? Fabien

good

The lectures are good. The quizzes are silly, because they test mostly esoteric knowledge that I would look up when I need it rather than the basic understanding needed to do real data science work, data cleaning in particular. The projects are also unnecessarily complicated to the point that someone from the course has to post examples for almost all questions. If we are going to receive that kind of general help, why not just make the explanations better? In the real world, I would simply ask the project stakeholders questions when something is ambiguous. Requirements gathering is not an objective of this course though and simply looking in the forums for explanations does nothing to advance that goal even if it was within the scope of this class. The goal of this course should be to give the student an understanding of the tools involved, not do a lot of gymnastics to understand vague instructions and then apply oddly specific pandas functionality. I say all of this as someone who has been doing data cleaning with python/pandas for several years and was looking to just formalize things I have learned as needed. I will probably not bother to complete the course, because the final assignment and quiz have no real learning value and a Coursera completion certificate is of little value.