Pathetic description of requirements. Advance knowledge of excel is required before doing this.

English is horrible, and I am french...

I didn't think that it was made clear enough that you needed prior understanding of different topics. For example, you would certainly need prior knowledge of analytics and of coding in order to be successful in this course.

I found that the structure was quite disjointed and that you are not given enough information to complete the assignments.

it is impossible to finish the course, nobody evaluates the final task

I am only at Week 2 so far, but the techniques presented in this course, enhanced by the quality of the recitals (which walk you through the R-code application of the concepts presented) are very relevant to the subject matter.

I would not recommend taking this course without a decent background in R; however, the recitals do a good job at helping even beginners understand the application of statistical models to business decisions.

Prof. Glady is an excellent lecturer. The course is very well produced, and the recitals were a great introduction to using code to solve business questions.

The final course assignment was not defined precisely enough which led to varying interpretations among graders and reduces grades for all as a result.

Otherwise a good intro course for the analytics specialization that focuses on the managerial aspects of data analytics and the communication of results.

I wish that links to supplementary reading on the statistics used in the course would be provided.

wwhy do you have to wait for peers to review your work before getting the certificate

Good concept, but requires a lot more content. The course clearly mentioned that it is applicable for the students of all levels, whereas it is tailored to managers with significant statistical background. It was unclear why we choose some type of analyses vs another one (neither during videos nor during recitals). Good concept, but requires a lot more content

It does allow the purchase of a specific course within the specialization, the student has to subscribe to the all specialization even if they are only interested in one course only. Secondly the owner of this course should have allowed at the assignment to be submitted, because some people purchase a course only right after they have completed it.

Started in middle of everything, its course covers 5 to 7 factor samples, in the final exam the minimum factors is 70 or more!

You not will learn R, not really business insights, but you learn some specific cases.

I think you will learn lots of betters course in this site.

This course is fantastic and contains insight and material that is difficult to find elsewhere. It is enjoyable, but it isn't easy. The level of analysis required in the final week on some of the suggested data sets goes above the level of R programming described in the course, so you'll have to do some additional learning if you're not an R user. Unfortunately, it often takes a little too long for the peer reviewing to take place, but other than that the course is one of the best on Coursera.

Practical skills taught for how to use data tool for business purpose. It is exactly what i am looking for!

If you do not know anything about R, it is suggestible to take basic R language course before enrolling in this one.

I myself was a newbie in data field, but I took several courses of "Data Science" by John Hopkins University before starting this one. I am delighted to find that the coding thing I learned would finally have a role to play in possible future career.

Learning a lot from this course! The instructor addressed real business case scenarios and delivered everything that was stated in the course objectives. Both the style and the content were well balanced in terms of strategic business issues and tools to address those.

I had a good understanding of R, regression & classification algorithms. I found this course very helpful in understanding how those methods can be implemented in analyzing various business problems for strategic planning.

This course is excellent when it provides the citations very fit to theory. And I learned it in well organized structure of knowledge. Thank Prof. Glady and his team very much.

The course contains the in-depth knowledge which helps to learn more about the business analytics. The assignments will test your presentation skills and creativity skills

The course contains the in-depth knowledge which helps to learn more about the business analytics. The assignments will test your presentation skills and creativity skills

The better course I have ever realized on Coursera. Theorycally strong and truely applicable.

The course covers a great deal of content, which is very relevant to day to day business context.

However, the course instructors can certainly do a better job on providing clear instructions on Projects and phrasing of Quiz questions. Some of the phrasing of questions/deliverables can be confusing and often requires rigorous deciphering.

I thnik the course is very interested and very good organized and you learn some interesting things.Prior exposure with R is neccesary and in my opinion if in the assignements existed some more questions in order to spent more time in R the course would have been even better..

I enjoyed this class, but the content feels amateurish. One major detracting factor is grading of the exams- a complete waste of time where there are multiple examples of contradictory slides to the quiz questions. The quizes often ask for information that is beyond the scope of the lectures and steadily becomes a process of just retaking exams until you get a 100%. I don't think the quizes reinforced the material in the lecture but actually took away from the class. This class was at it's best during the recitals, where I actually got to understand the great strategies used in the videos.

Even when this course is already a few years old, the content is still very relevant. Compared to other business analytics courses I have seen, this one is very hands-on. You learn by doing, which is good. If you are not familiar with R but understand the concepts for table manipulation in Excel, Matlab, or Python Pandas, it should be relatively easy to learn the R basics.

The R examples are quite detailed, well commented, and cover a wide range of analytics cases, such that if you come across something new you will be able to categorize it most likely into one of these examples.

Truly found the content extremely useful and well organized. Would recommend to any consultant tasked with sourcing, discovering, and communicating data with their clients, including analysts (who can appreciate the recitals) and managers (who can skip the recitals while still gaining terrific concepts and strategies from the lecture videos).

Great course! I believe it would be a good idea to have the text beside the videos, not below. Also, one thing that was difficult for me was the pre-process of the data (handling NA's). I believe that you should suggest some methods for that and what is the right way to do. Thank you!

Best regards,

Evgenia Rodopoulou