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Foundations of strategic business analytics, ESSEC Business School

4.4
407 ratings
92 reviews

About this 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

By PT

Oct 13, 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.

By BB

Sep 28, 2017

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.

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88 Reviews

By Sébastien Gache

Jan 25, 2019

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

Learnt how to apply standard statistic models on datasets.

By Purushottam Yadav

Jan 10, 2019

Good contents & course support, looking for more

By Ponciano Rincón

Dec 20, 2018

Fantastic course. Focused on real life applications.

By Sumit Jain

Dec 17, 2018

Very helpful course from career perspective.

By Affum mamley sussana Jones

Nov 11, 2018

great

By Jafar Suleymanov

Oct 18, 2018

Very usefull und practi

By SUBHASHREE PRADHAN

Sep 24, 2018

Very informative videos

By Tarun Budhwani

Aug 01, 2018

Overall good.

By walid sadaoui

May 11, 2018

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

By Fahad Abu-Haimed

Apr 21, 2018

it's address my current problem in my work