Very good course with very good material and teachers. I just missed some more practical examples to follow along the classes, and more further readings (specially for information extraction).

Love the focus on conceptual text processing and practical guides to implementation in python, but the assignment grader was extremely specific for no reason, especially the Week3 assignment.

It would help to connect the teaching better to the assignments. Especially in Week 4 there is to little connection. There is not even a course notebook to practice some of the material.

The instruction and explanation of key concepts was fantastic, but the instruction on the actual coding was very lacking, even compared with the other courses in this specialization.

The course itself is good, but the assigment system is not robust and some sentences are also ambiguous to users. Seeing from the forums, many users get confused in the assigments.

Excellent course for someone like me who is ambitious and aspires to gain knowledge on new things. The videos can be made bit more elaborate, seems to be rushing towards the end.

Passionate instructor and a great primer on how software can infer useful data from text. Gives a preliminary understanding on the algorithms used in scikit learn and nltk.

It is a great course with challenging assignments, I wish the syllabus is a little more deeper specially on the LDA part. But overall a good course that one can look for!

A little bit stretched my python skill, but learned a lot. Forum is a good place, and maybe next I will join some study group online or offline to have more discussions.

Good Course, the only problem was in week 3 the sklearn method roc_curve() is used incorrectly and then in the assignment you need to use this method incorrectly again.

The course content and the assignments are good. Some descriptions of the assignment questions are ambiguous. The discussion forum is helpful in clarify those issues.

Good course to take although I felt the course could have been better in terms of practice. But overall, would recommend to others if they wish to pursue data analysis.

Overall good class but the assignment design is somehow bad. Should give some hint otherwise we do not know if we get a wrong answer or the autogarder is not working.

I did not give 5 starts because Assignment 4 was really hard. It required too much knowledge from outside. The week 4 modules poorly prepared me for assignment 4.

Some of the codes are not shown in Jupyter notebook. The assignment statements are not so clear, need to resort to Discussion board for additional information.

Good course subject matter, and well explained in the videos. But problems with the assessments' automated grading system do cause some unwanted frustrations.

Great course. Worth taking it. Hard, but you will learn a lot. Homework 1 is confusing and discouraging, but pass it and the rest gets more interesting.

Learned lots of new stuff, but some details are not established well including autograder issue at the last assignment. Hope this gets cleared out soon.

A good intro to NLTK and text mining in Python, though sometimes the effort put in to render an assignment acceptable to the autograder was a headache.

The lectures are in my opinion too concise. The programming assignments are very interesting. Perhaps the week 1 programming assignment is too complex.

I had the opportunity of use the learned in this course for a project in my work about RPA with python, specifically for process a big volume of data.

Kindly provide all lecture codes as Jupyter Notebook file for each module. It helps a lot for revision. Overall an informative and excellent course.

Its still an elementary course for natural language processing . May be the maths behind the algorithms and topics should be discussed elaborately .

Course is introductory and helpful. The staff should provide all the jupyter notebook code examples and provide better instruction for assignments.

Course is good but doesn't cover the whole lot of topics. the instructor is very good and clear. I expected to learn more advanced topics though.