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Avis et commentaires pour l'étudiant pour Foundations of strategic business analytics par Ecole de commerce ESSEC

4.4
456 notes
103 avis

À propos du cours

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....

Meilleurs avis

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.

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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1 - 25 sur 99 Examens pour Foundations of strategic business analytics

par Blaine B

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.

par Sumit J

Dec 17, 2018

Very helpful course from career perspective.

par ELINGUI P U

Jul 11, 2016

This gave me a great insight, and give me the will to learn and become an exeprt in R programming

par Alicia A M G

Sep 20, 2015

Awesome Course

par Ali N

Sep 26, 2016

Really worth it.

par Eldher H

Feb 08, 2016

Very interesting and insightful, it gave me tools and concepts which I can apply in my job.

par Shengyu C

Oct 23, 2015

Very relevant course

Teaches the interpretations of advanced analytic techniques - has a nice balance between the communications and the hard technical aspect. Would recommend it. However, for those who are not already familiar with the hard technical aspect, the course may be daunting.

par silvia j o p

Jan 26, 2016

Very complete and usefull

par Marcela G

May 10, 2016

Great!

par Keith P D C

Dec 03, 2015

Great course. The level of R needed to complete the course is very basic and a person having no prior knowledge in R could do it with some difficulty.

par tom p

Dec 03, 2015

Really good course - learned a lot. The approach was very friendly with guided exercises and code walk-throughs.

par Paul N

Jul 30, 2017

Some of the recitals are a little off and glaze over essential details. But, as a pragmatic and practical introduction to advanced techniques in R, I've not come across a better course. Very highly recommended.

par Mijail K

Jan 07, 2016

The better course I have ever realized on Coursera. Theorycally strong and truely applicable.

par Pedro M P

Oct 27, 2015

Amazing

par Nikos L

Dec 07, 2017

V

par Brad G

Sep 30, 2015

Fantastic examples of applied data analysis

par Man L

Jan 24, 2017

Very useful, practical anda easy to follow.

par Durga B P

Aug 15, 2016

Its OK

par Carlos E B A

May 08, 2016

Very good!

par Seshadri S K

Dec 05, 2015

It's a great course

par William K

Dec 02, 2015

Wonderful course.

par Antonio P L

Sep 20, 2015

Fantastic course. THis allow you to become an strategic business analytics consultant

par Fahad A

Apr 21, 2018

it's address my current problem in my work

par GAURAV B

Oct 14, 2015

Great course for fundamentals!

par 武利鑫

Jun 14, 2016

It give me a new way of science analytics to know the business better