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

4.4
428 notes
98 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 95 Examens pour Foundations of strategic business analytics

par PRATIK B

Jun 10, 2019

faltu not good at all

par Nino P

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.

par

May 20, 2019

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

par Swapnil S

May 18, 2019

Couldn't comprehend the lessons taught. I apologize.

par Tony C

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

par Manuel P

Mar 10, 2019

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

par Chinmoy R

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!

par Sébastien G

Jan 25, 2019

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

Learnt how to apply standard statistic models on datasets.

par Purushottam Y

Jan 10, 2019

Good contents & course support, looking for more

par Ponciano R

Dec 20, 2018

Fantastic course. Focused on real life applications.

par Sumit J

Dec 17, 2018

Very helpful course from career perspective.

par Affum m s J

Nov 11, 2018

great

par Jafar S

Oct 18, 2018

Very usefull und practi

par SUBHASHREE P

Sep 24, 2018

Very informative videos

par Tarun B

Aug 01, 2018

Overall good.

par walid s

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

par Fahad A

Apr 21, 2018

it's address my current problem in my work

par Patric O

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.

par 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.

par Nikos L

Dec 07, 2017

V

par PRABHAT K

Nov 17, 2017

Excellent

par Todd B

Oct 26, 2017

Great course. Good lectures & business examples.

par sara

Sep 30, 2017

Simple, methodology is not enough, not practical, more focus on statistical tool data processing instead of insight analysis, not recommended to professionals.

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 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