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Learner Reviews & Feedback for Foundations of strategic business analytics by ESSEC Business School

601 ratings
140 reviews

About the Course

Who is this course for? This course is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts. For example, it may be suited to experienced statisticians, analysts, engineers who want to move more into a business role. You will find this course exciting and rewarding if you already have a background in statistics, can use R or another programming language and are familiar with databases and data analysis techniques such as regression, classification, and clustering. However, it contains a number of recitals and R Studio tutorials which will consolidate your competences, enable you to play more freely with data and explore new features and statistical functions in R. With this course, you’ll have a first overview on Strategic Business Analytics topics. We’ll discuss a wide variety of applications of Business Analytics. From Marketing to Supply Chain or Credit Scoring and HR Analytics, etc. We’ll cover many different data analytics techniques, each time explaining how to be relevant for your business. We’ll pay special attention to how you can produce convincing, actionable, and efficient insights. We'll also present you with different data analytics tools to be applied to different types of issues. By doing so, we’ll help you develop four sets of skills needed to leverage value from data: Analytics, IT, Business and Communication. By the end of this MOOC, you should be able to approach a business issue using Analytics by (1) qualifying the issue at hand in quantitative terms, (2) conducting relevant data analyses, and (3) presenting your conclusions and recommendations in a business-oriented, actionable and efficient way. Prerequisites : 1/ Be able to use R or to program 2/ To know the fundamentals of databases, data analysis (regression, classification, clustering) We give credit to Pauline Glikman, Albane Gaubert, Elias Abou Khalil-Lanvin (Students at ESSEC BUSINESS SCHOOL) for their contribution to this course design....

Top reviews

Oct 12, 2015

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.

Sep 28, 2020

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

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101 - 125 of 136 Reviews for Foundations of strategic business analytics

By Sohan B

May 6, 2020

Comprehensive course for covering basics of business analytics

By Ramachandran R

Oct 10, 2015

good course. Can focus more on practical aspects


May 4, 2020

Examples are quite excellent to work on.

By arun k

Oct 26, 2015

Great course. well presented

By Hurstel

Jan 10, 2016

Thoughtful and practical !


Sep 24, 2018

Very informative videos

By Phan T B

Sep 18, 2016

Nice and helpful course

By Ivy R

May 11, 2020

I like this course.

By Jose L

Oct 16, 2015

They do it easy

By Tarun B

Aug 1, 2018

Overall good.

By Mohammed S S

Jan 2, 2021

Good start


Nov 17, 2017


By Hugo C T

Dec 21, 2015


By William F

Apr 13, 2016


By Vladimir K

Apr 5, 2021

This course in general is quite interesting for business analysts: you will learn several easy but efficient data analysis tricks and techniques, and business outcome is always in the focus, which is very important. Data driven analysts quite often forget about business, so it will help you to focus more on business outcome. But there are multiple problems in this course. *sigh* First one is very low quality of the R code. Looks like instructors never heard about code style, good naming practices and code organisation. Code is written by amateur analyst, all the data sets will be named "data" in the same script, code is messy and inaccurate. You teach the people, show them how proffesional code look like in R! Second one -- poor quality of the queezes in the course -- they all require trivial -- you just need to correct the R script to pass. It doesn't bring any addititional value to the material you've just learned. And third drawback -- small amount of real students and a lot of cheaters, who submit random stuff and copy-paste your work after that. I see it for the first time on coursera(

By R. C H

Jun 15, 2020

The R code examples provided were the most useful part of this course. The lecture material was so high level that I found it difficult to watch and walk away with a clear sense of what was learned. To be frank: I would have quit this class if not for the recitation material. Even the capstone assignment was framed in such a strange way that I had to walk away for a week to figure out what to do with it. And the number of course participants was quite low, which may for a stressful time getting the last assignment graded. And since the grade was based on peer review of highly subjective assessments of a single slide presentation, it also made the final grade appear haphazard.

By Patric O

Mar 8, 2018

This first course is good, but it unfortunately reminds me of the courses back at the tech.uni. I graduated from. The professor has a terrible accent, the assistants doing the calculation exercises are far from inspiring, and the exam's instructions are vague to say the least. And feedback about this seems of lesser interest, like I'm just a student and cannot know better than the professor.

But take this first course and get it over with, because after it comes course 2 that is so much better. The lecturer is top notch and he does his recitals himself with lots of additional info as he goes through them. It's one of the best online courses I've had on the subject.

By Hans G Q

Oct 22, 2020

Overall, the content is very useful and interesting. Maybe I would suggest the use of standard/international business English terms and definitions in the course, that would definitely improve the quality of lectures. I had the impression that they were using a literal translation from the French into English. For example, they used words as: "providers" instead of "Suppliers"; "past data" instead of "historic data".

By Alan E A

Jun 22, 2017

I think it would be good to have an introduction to R Studio. The course was short and informal from my point of view. Instead of watching a lecture and then a demonstration a single video with both the lecture and demonstration would be better.

By ang s

Aug 15, 2016

Lectures and Recitals were good, easy to understand. Discussion forum was a deserted place with little sharing. Would be nice to have a more open community. Overall, pretty good. Looking forward to the next courses.

By Andreas S

Apr 13, 2017

Arguments brought up are shallow

By Melissa C

Apr 19, 2021

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.

By Yuduan L

Oct 15, 2015

Not very like this course... especially those videos are introduced by female speaker....we dont have this kind of software, can't understand and practice it....

By amyliangzi

Nov 23, 2015

Poor presentation. Unclear points. Not a detailed walk through about the specific tool.

By Esther A

Apr 2, 2021

:Pre-requisites of R programming are not mentioned up front