Chevron Left
Back to Foundations of strategic business analytics

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

4.4
stars
645 ratings

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

PT

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.

RG

Apr 30, 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

Filter by:

76 - 100 of 149 Reviews for Foundations of strategic business analytics

By Gaurav B

•

Oct 14, 2015

Great course for fundamentals!

By silvia j o p

•

Jan 25, 2016

Very complete and usefull

By Jafar S

•

Oct 18, 2018

Very usefull und practi

By Seshadri S K

•

Dec 5, 2015

It's a great course

By Bill K

•

Dec 2, 2015

Wonderful course.

By sarojkant S

•

Sep 4, 2020

Excellent course

By Ali N

•

Sep 26, 2016

Really worth it.

By Manoj K

•

Feb 8, 2016

Awesome course.

By Navin K

•

May 31, 2022

Very effective

By Alicia A M G

•

Sep 20, 2015

Awesome Course

By Aarti v

•

Apr 20, 2020

great course

By Marco T

•

Sep 28, 2015

Really nice

By Carlos E B

•

May 8, 2016

Very good!

By Erwan G

•

Jun 28, 2021

Perfect !

By Pedro M

•

Oct 27, 2015

Amazing

By Durga B P

•

Aug 14, 2016

Its OK

By Marcela G

•

May 9, 2016

Great!

By perpetual b

•

Nov 11, 2018

great

By Nijat

•

Apr 22, 2020

good

By Nikos L

•

Dec 7, 2017

V

By Christopher A

•

Dec 10, 2015

I like Professor Glady's style of minimalism in lectures but stressing the end goal of the analytics. IT was an interestingly presented and fairly engaging course. Assignments could be more difficult to encourage deeper learning of the hands-on analytic crunching.

By Guilherme S

•

Oct 2, 2015

A good course, its just a little bit too short based on the content it wants us to focus. The chapter on presenting our information is funny because the slides presented contain every anti-pattern that they want us to avoid. Apart from that, a great course.

By Fabian S

•

Sep 28, 2017

Very good course. As a business person interested in analytics, itwas a good overview. However, I would have wished for a link to an R Course you can recommend.

Also, it would be interesting to see the quantile next to my grade.

Thanks a lot

By Medhat S

•

May 4, 2022

Very nice and practical course. Really liked how the case-studies are used to explain the ideas rather than just abstract concepts. The only drawback for me is that recitals are only available in R. hoped a Python-option was available.

By MBAREK

•

Jan 15, 2018

Very interesting course. Needs real statistic knowledge to understand and see the potential of this course. I recommand to learn R langage in parallele to complete this training. It's a good base to go ahead in this domain.