Ratings and Reviews for Applied Text Mining in Python

Autograder is a disadvantage that sometimes can take many hours to figure out. Also, this course was a let down compared to the previous in the specialization. I wish there were more examples.

Excellent course. Teaches useful knowledge and skills and does it with a very good teaching staff.

A good brief introduction to test mining with python. The professor attempts to explain the topics well. Good rigor of the assignments. How ever for the last module , absence of explaination with a notebook is strongly felt as the concepts get deeper in understanding and woud have helped with the last assignment.

Really good overview, with just the right amount of detail

Great course. Does cover a lot of ground on the topic. The assignments are challenging, as should be.

I believe that assignments are away harder than the material of the course. The instructor should more get involved in the codes when he teaches.

Videos are so high-level that they don't help at all understanding the necessary code. Assignments have spelling errors and ambiguity. Week 4 is missing the sample code notebook. I eventually found the sample code notebook in the forums, but this was a big cause of frustrations as I had zero context for how to do the assignment.

This course is interesting and about a very important topic, but it urgently needs an update!

What a horrible course. Especially the assignments are such an unbelievable waste of time. Instead of focusing on important concepts and applications, one has to spend hours one "pleasing the autograder" by renaming columns and reading the discussion pages for the correct interpretation of all the ambiguously formulated questions. Very sad! Would be good for everyone if this was removed from the (otherwise great) series "Applied Data Science in Python".

Great course!