Aug 27, 2017
Quite challenging but also quite a sense of accomplishment when you finish the course. I learned a lot and think this was the course I preferred of the entire specialization. I highly recommend it!
May 04, 2019
Lectures are very good with a perfect explanation. More than lectures I liked the assignment questions. They are worth doing. You will get to know the basic foundation of text mining. :-)
By David M•
Nov 06, 2018
It is no exaggeration to say it took me longer to complete this course than the first 3 courses in the specialty and the time was utterly wasted. I wouldn't object if I felt like I was learning new skills but it is mostly battling a poorly constructed course, with terrible assignments, a broken autograder and a Professor who is utterly disinterested in the education of his students.
When considering this course we need to separate the subject (which is fascinating) and the tools (which seem quite powerful) from the course itself. I had really high hopes during the lectures in week 1, where the videos are stronger and close to a well taught university lecture than others in the specialisation. However the assignments and the autograder issues are too great to ignore! Assignments are poorly worded (in one question it is literally trial and error) and the autograder often breaks. There are cases of people spending 10+ hours on work getting incredibly frustrated by the lack of feedback to find out the solutions were correct and the autograder was playing up.
By Li Q•
Aug 10, 2018
Very painful going through this course although i have quite well coped with course 1-3.
But this course seems lack of systematic structure of building the knowledge, it just walked through the topics quickly and extensively. I had to spend a few hours to learn about the whole structure of text mining to build in-depth knowledge, more than 20 hours to watch the online nltk & genism tutorials cause i m new to text mining & nlp.
just hope the course can simplify the complicated topics such as where we are in the whole process, what's it, why we need it, working theory, coding, how we use these parameters, etc. to make life easier.
By Aryan P•
May 15, 2018
Instructor does not explain concepts, just superficially goes through subjects.
Some lectures lack coherence between subjects. you wouldn't know what is the relation between topics.
But it introduces some basic stuff which worth knowing anyway.
Feb 22, 2019
I would see autograder and unspecific instructions ruin this course.....Sometimes you know how to get the answer and the answer looks just right! but you still cannot get passed! I would not be taking this course if it was not part of this Specialization........ Improvements need to be made!
By Jian G•
Mar 07, 2019
This is almost a waste of my time. The structure can be clearer and the connection to Python is outdated. The assignments are poorly designed. The instruction is not effective.
By Alejandro C M•
Feb 10, 2019
The instructor provided very low quality material.
By Michael T B•
Jan 29, 2019
Instructor was poor. Inadequate coverage of the material in the lectures, some questions not clear as to what was expected. You can do better reading a book on this subject on your own.
By Eklavya s•
Aug 05, 2018
This course makes you give up on data science and MOOCs.
Seriously, the content is poorly presented he keeps on speaking , telling 2-3 lines about a function and so on.
I highly recommend stay away from this pathetic specialization.
By Niccolo A H•
Oct 23, 2018
Curriculum is valuable but the course quality isn't on par with the other Applied Data Science using Python courses by University of Michigan. Week 4 assignment doesn't do enough to bring all the previous topics together in a realistic application. Week 3 lectures and notebook have teach the use of a scoring function wrongly - an issue addressed in forum threads for months but no edits to the video lectures and notebook have been made as of yet.
By David C•
Aug 08, 2017
I really wanted to like this course, and there were some redeeming features, but overall I'm unable to recommend it in its current state. IMO, the lectures were at much too high a level while the programming assignments were very detailed with vague instructions and little guidance. There was no link between what was discussed in class and how the fine details of the assignments were to be understood. In addition, the course was published with errors in the auto-grader and no resources in the Resources link (not even slide decks from the lectures, so to review material you were forced to re-visit all the recorded lectures which was very inefficient). My recommendation to Coursera and the Univ of Michigan is to completely re-do the course, doubling the number of lectures to provide not just the broad overview of the topics, but also some detailed descriptions of recommended ways to implement what was discussed. I would also recommend using Professor Andrew Ngs Machine Learning course as a guide for how to create great programming assignments, with detailed PDFs (typically 5-6 pages) describing what is to be done AND WHY (linking back to the lectures) and "telling a story" that is cohesive and leads the student to create something end-to-end (in small steps) that does something amazing by the end. The programming assignments in this course seemed, in contrast, to be a shotgun blast of "do this", "create this", "make this happen" with little context of how the small pieces fit together or what the overall goal of the assignment is to accomplish -- and at the end, a feeling of "I passed the autograder's expections, but have no idea what I've really done or why". There were so many great things that could have been done with the Text Mining topic, and this course touched on just a few in a very haphazard way that simply left me confused and wondering why I spent so much time to learn so little.
By Мирзабекян А В•
Jul 19, 2018
The most discouraging course in specialization.
By David W•
Apr 05, 2018
Unclear assignment instructions, buggy autograder, and no instructor help.
By Léa F•
Nov 25, 2018
Dec 17, 2018
This instructor was great! His slides and explanations were much easier to follow than the other course instructors in the specialization.
By Saichand D•
Dec 03, 2018
Very clear and nice explanations.
By Nithin R•
Dec 25, 2018
contents are good.
By Phillip L C•
Dec 27, 2018
Really provides practical application and ideas on how to use tools in real world. Thanks so much!
By komal p•
Jan 23, 2019
nicely taught with all the concepts
By AHMED B K•
Feb 05, 2019
By Vrishti j•
Feb 21, 2019
Perfect course for quick guidance
By Dibyendu C•
Oct 18, 2018
Well structured and quality lectures and content.
By Sreenivasulu B•
Feb 25, 2019
By Yunhong H•
Mar 23, 2019
This course is great. The knowledge gained in this course is very useful in real world.
By Yunfeng H•
Mar 27, 2019
This is a very helpful courses for text mining. It starts with cleaning data and then gradually build up the skills to classify and group texts. I love all the case studies. The assistant walks me through the tasks using the tools and methodologies mentioned in the lectures. It also helps to solve the assignments.
By Samuel E G G•
Apr 01, 2019