Great course to gain VERY valuable knowledge in business analytics. It's great that they provide you with R scripts that you can use anytime to remind yourself of the analysis. All in all, a highly recommendable course for anyone with data science skills willing to apply them in the field of business analytics.

Great content for an introduction of how statistics and data analysis can be applied to business situations. The recitals are great to practice and go deeper. Be careful though, you still need to be computer-savvy and have good notions in statistics and computer science to make the most of this course!

Excellent course. It provided a perfect mix of theoretical lectures (although focused on real life examples) and practical use cases of R Programming in the business context. I would recommend it to anyone wishing to expand their data analytics toolkit. I found it extremely relevant and enjoyable.

It is great as it was to doing this course. The content and the lectures was really fantastic. Complexity comes into practical experience with serious of learning materials. Highly appreciated and recommended the course. This would be window to many other opportunities. Thanks in advance.

merci pour ce très intéressant MOOC, qui m'a permis très rapidement de me remémorer des bases de l'économétrie, de même qu'il m'a enseigné de très utiles fondations en stratégies d'entreprises. Je le recommande vivement. Je vais d'ailleurs continuer et m'inscrire pour la spécialisation

Very relevant course

Teaches the interpretations of advanced analytic techniques - has a nice balance between the communications and the hard technical aspect. Would recommend it. However, for those who are not already familiar with the hard technical aspect, the course may be daunting.

The course is excellent, teaches a business level focus on Data. The examples given are all relevant to business. Really mind opening, really challenging, really enjoyable. One caveat: high level of R knowledge required to get the most from the course. t

Good course for people who just started to open business analytics. For people who are mature, it is basic. So I cannot say that this is an advance level and there is no clear explanation for R functions and mathematical methods using in this course.

This course does well to balance its focus on strategy and analytics. The analytics aren't overly in-depth, allowing for less technical individuals to reap benefits from the course. I highly recommend this course to consultants and business analysts.

A truly fabulous MOOC. Granted you have to be proficient in R and have an understanding of business practices for maximum benefit but it is well worth gaining such skills just to take this course - you won't regret it.

Some of the recitals are a little off and glaze over essential details. But, as a pragmatic and practical introduction to advanced techniques in R, I've not come across a better course. Very highly recommended.

Even though I did enjoy the course, I think that more data analysis content should be provided. It would also help if more examples of presentations were provided. Nevertheless I found it to be quite useful!

Excellent course to learn the basis of Strategic Business Analytics: precious concepts, relevant business use cases and very pedagogical. I totally recommend this course.

Great course. The level of R needed to complete the course is very basic and a person having no prior knowledge in R could do it with some difficulty.

Absolutely outstanding course. I have thoroughly enjoyed the blending of technical methodology and business necessity of the analyses demonstrated.

A very good introduction to analytics. If one has some previous experience, the course succeeds in offering a fresh and structured perspective.

Thanks for the course. It was business oriented and very practical. It really added to the business analytics approach I was looking for.

It is an extensive course with week-by-week depth of knowledge provided. Loved the recitals! Instructor is very effective in teaching.

Good course. BUT, there are more details behind you should be aware or too in order to become a good analyst. Like autocorrelation.

Very challenging for a novice in data science and R programming.

Learnt how to apply standard statistic models on datasets.

Great course which uses R to have you do classification, linear and logistic regression to address business topics.

Really good course - learned a lot. The approach was very friendly with guided exercises and code walk-throughs.

Very informative and logically consistent. Great way to get to know R.

Very useful for wanna-be consultants)

Very interesting course with practice using R language. Practices are clear and applicable to real cases

Great course! Straight forward, complete, practical, and very well delivered. Profesor Glady is awesome.