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Foundations of strategic business analytics, ESSEC Business School

4.4
(428 ratings)

Über diesen Kurs

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-Bewertungen

von 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.

von 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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94 Bewertungen

von Nino Požar

May 24, 2019

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.

von

May 20, 2019

Really essential and basic skills can be learned from this course. Highly recommended

von Swapnil Shimpi

May 18, 2019

Couldn't comprehend the lessons taught. I apologize.

von Tony Cronin

May 06, 2019

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

von Manuel Puetz

Mar 10, 2019

Data for last exam not usable. Topics are nice and explanation revealing

von Chinmoy Rajurkar

Mar 05, 2019

Useful course to get the fundamentals of understanding a business problem right. Coming from a stats/math background, I found it very interesting to see applications of what I had learnt in school!

von 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.

von Purushottam Yadav

Jan 10, 2019

Good contents & course support, looking for more

von Ponciano Rincón

Dec 20, 2018

Fantastic course. Focused on real life applications.

von Sumit Jain

Dec 17, 2018

Very helpful course from career perspective.