Ratings and Reviews for Applied Text Mining in Python

the course topic and some of the material are worthwhile and interesting, but, 1. the quizzes and assignments are often disconnected from the lectures, outdated, or badly written 2. the assignments feature code snippets supplied by the course that do not work properly. these broken code snippets must be changed to pass the assignments, EVEN THOUGH the assignment SPECIFICALLY says not to change them at all. 3. the autograders are extremely finicky. on one assignment, the grader gave me no points for a coded answer which, when manually typed out, returned a correct rating. another assignment featured a broken text document resource, leading me to download, hand-edit, and submit a hard-coded text answer, after failing the question multiple times. when I hand-entered the correct line-by-line answer directly from the text document, the grader still did not give full marks. these issues seem largely fixable, and it's shameful that they are not. checking the course discussion forums suggests that the same problems have often been known for over 4 years, and yet nothing has been done. I would give the course 1 star, but the lecturer is a better communitactor and a more natural-sounding orator than most of the other instructors I've had on this site; I thought that deserved another star. all and all, I would have spent my time better on another course; it is a shame this course is required to complete the applied data science with python specialization.

This course is much lower standard in comparison to the rest of Applied Data Science series. There are significant issues: 1. The concepts are covered either at very high level or completely missed 2. Assignments are of mechanical nature and lack the link with real life 3. Poorly written assignments - key info missing and unclear 4. Auto-grader is very picky and will require loads of ours of troubleshooting I would not do this course unless you have to as part of the specialization. If you do make sure to read discussions before attempting assignments- trust me it will save you a lot of trouble

Overall: good, but many more useful topics like NN are untouched and even not mentioned. Also doing assignments needs a lot of individual research and digging stackoverflow forums because it wasn't instructed in lectures. This is unlike the first part of the specialization (intro to Python) where things were covered properly.

Did not provide enough sample codes or real-life text mining applications. The videos were very high level and not enough to understand the context of the material.

Obsolete course

Very good, but the last assignment I spent a lot of time fighting against the autograder.

Great course!

wonderfull

This course has good content, but unfortunately suffers from major problems on the programming assignments. More time is spent digging through forums for help with incorrect grading from the automatic grader. Some assignments require that you submit the *WRONG* answer to get credit! It's a complete waste of time, which is unfortunate because otherwise the course would be great.

First weeks of the course are great, but then it lacks in programming exercises