Initially the lectures started fine. But by week 2, there is a big gap between the level of lecturers/material which are too superficial and the assignment which are very detailed. 90% of the time doing the assignments consist of looking up the forums or stackoverflow. The autograder is also severely outdated, never been updated for the past 3 years since the start of the course. Week 3 itself the autograder requires some "wrong answer" to pass, and this has never been updated. The mentors in the forum especially Uwe is helpful, but he's only patching the leaks by providing guides on passing the autograder. I'm only taking this course to finish the specialization, but I would not recommend this course at all, especially since it's paid and I feel it's not worth the price for the outdated content.
Ratings and Reviews for Applied Text Mining in Python
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Reviews and Ratings
Reviews
Videos are too long and the lectures sometimes go too fast and shallow to grip on information for the assingments, though those can be very manageble consulting stackoverflow
Excellent
very good course to do.
Nice Course, although i prefer the courses 1 and 3. were indredible
good
programming assignments are too technical
Awesome course! Every one who interested in Data Science should take this to enchance your coding skills.☺
Great introduction to NLP and text mining technique.
A light introduction to a big topic. The exercises are what make it worthwhile, and take most of the time. I spent 10-15 hours on each 'week' about 2/3 on the exercises.
Be prepared to do a lot of your own research and reading - there are very few readings provided and you'll need to use blogs and other resources to fill out your knowledge.