Ratings and Reviews for Applied Text Mining in Python

The professor was great in explaining the concept, but there was barely code alongs or notebooks with the code to show the outputs of the codes. In the first week, the code and outputs were provided, but as the course progresses, they are not provided anymore. I would have really helped to actually see the outputs and follow along with a jupyter notebook code. However the reason why I am giving this course 2 stars is because of the assignments. The assignments were really a pain in the neck. Yes, the assignments help you learn, but it gets really frustrating when the autograder doesn't work properly. Most of the time the autograder grades incorrectly. In week 3, some of the solutions were marked incorrect when the solutions are actually correct. Instead of accepting the correct solutions, the autograder accepts the incorrect solutions as "correct" solutions. The autograder doesn't give much feedback on why the solution is incorrect. In addition to the autograder, the assignments themselves don't guide you. The were so many additional things we had to do to pass the assignments. There were so many hidden tests that we were not aware of. And the assignments don't help guide us on how to pass those hidden tests. Week 1 and Week 3 assignments were so frustrating because of these issues. Because of all this, I missed the deadlines for 2 assignments, so I had to push the deadlines back. When I did that, everything reseted. I had to redo all my quizzes and assignments. 18 hours of code was gone.

Great professor.

Der Kurs war sehr interessant, die Übungen zum Teil unnötig zeitaufwendig.

The auto-graders are not working for quite a few questions, and error description does not tell which part of my code fails, totally useless description. Discussion forum was a big disappointment. Mentors never showed up. I felt like this is a free course, in terms of support.

Although the course had a strong syllabus, I felt as if many of the lessons were a repeat from the previous courses, especially Course 3 of this specialization and the new contents were not fleshed out as well as they needed to be. Additionally, the course did not have enough examples for an "Applied" course to gel the concepts taught in the course. I also felt as if there were fewer videos as well as useful optional reading materials when compared to Course 3 of the specialization.

This module of the Applied Data Science with Python is incredibly poor in comparison with the other modules. The assignments sometimes are not related to course material, there may be 1 practical/lab for every week in the course - NOT enough to help with the assignment. Most videos don't have accompanying notebooks to actually apply concepts, meaning that I will have finished this module with little skill improvement. Overall, in comparison to the other modules, I am severely let down by this course, too much theory not enough practical work.

This course is not meant for LEARNING Text Mining, Assignments do not address contents of the lectures, many instructions are not clear, feedback on assignments is very scarse, si one does not know where they are making a mistake, and Discussion Forums HAVE NOT BEEN RESPONDED IN OVER 4 YEARS. It is a shame that coursera leaves some courses from certain universities to just sit there with no one answering forums or aiding students' learning process.

The course is just an absolute random collection of videos poorly explained, where no one is explaining why things are done in a particular way, with a poorly selected somewhat random APIs in NLP. Very little practice and the assignments have basically nothing to do with what was "explained" in the videos. Plus, the discussion forum is absolutely full of dust and no one replies for the last 4 years. It is really such a pitty that Michigan doesn't put any effort in keeping this up, but still offers something that is completely useless for students.

the worst course I had. The assigments are really bad. They are not teach you how to do text mining . You spent hours for nothing most of the studet take the answers from the web (google the name of the course)

Excellent hands-on approach to learning, really enjoyed it!!!