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Foundations of strategic business analytics, ESSEC Business School

4.4
393 個評分
88 個審閱

課程信息

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....

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創建者 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.

創建者 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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85 個審閱

創建者 Sumit Jain

Dec 17, 2018

Very helpful course from career perspective.

創建者 Affum mamley sussana Jones

Nov 11, 2018

great

創建者 Jafar Suleymanov

Oct 18, 2018

Very usefull und practi

創建者 SUBHASHREE PRADHAN

Sep 24, 2018

Very informative videos

創建者 Tarun Budhwani

Aug 01, 2018

Overall good.

創建者 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

創建者 Fahad Abu-Haimed

Apr 21, 2018

it's address my current problem in my work

創建者 Patric Ojala

Mar 08, 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.

創建者 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.

創建者 Nikos Lekkas

Dec 07, 2017

V