Ratings and Reviews for Introduction to Data Science in Python

Great introduction to representing and manipulating data with python pandas series and dataframes. Lectures are interesting and clearly presented with interactive examples in jupyter notebooks. The last two assignments are quite tricky as the hard part is cleaning and preprocessing real-world data, obtained from wikipedia etc., in dataframe form, somtimes using techniques not explicitly covered in lectures so some searching and self-learning is required. However, this is the core learning experience of the course as it reflects the messiness of data analysis in real world situations.

Fantastic course

That's very ok and nice

Nice

One of the best data science course

In this course, you should do all the learnings by yourself. I had to search the internet for the concepts, watched youtube videos to understand the concepts. The instructor had no role unless reading and writing some boring long texts. No handouts or materials.

This could be an excellend course, but there are some major errors in the assignments that cause students to fail even when the code works perfectly. The problem seems to have something to do with file pathways in the online environment that the course uses. Unfortunately, the instructors show little interest in solving this problem, and I have wasted countless hours resubmitting assignments in an attempt to get the autograder to work. Bottom line- this course is not a good use of your time!

It lives up to the title and more. Only minus, some of the problems could have been better explained. Also, make sure you take an intro into python and pandas, even if you are a beginner or a part-time/hobby programmer.

The course is really good organized and mostly interactive with pop-up-questions and assignments. It gave me great insights to pandas, regex, numpy, merging datframes, etc.

Quick, but very rich course, with several optional elements, that I strongly advice to take/read in parallel (I used the good, old archive.org free library to find & borrow all necesary books). Sympatethic & friendly lead teacher, with excellent language & speaking skills. Supportive forum moderators and a lot of information to be found there. Some minor glitches (as in all Coursera courses), the exams are not so easy to take and the programming assignments reauire focus & diligence - but hey, we are supposed to learn and learn everything, in order to be ready to dig in all kinds of data, so... nobody said it will be cookies and candy ;-) And, after all, the assignments seem easy now, once you got the knowledge, haha ;-) Looking forward to continuing the excellent courses from UMSI (UMich.edu School of Information). Cheers & thanks!