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

4.4
449 notes
101 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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51 - 75 sur 97 Examens pour Foundations of strategic business analytics

par Christian O

Mar 18, 2016

Great course! Of course, french accent, but gently.

par Pedro M P

Oct 27, 2015

Amazing

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 Yones C

Jul 23, 2019

Excelent course!, but it insn't for beginners, you already need some previous skills on R.

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 Subhakanta N

Aug 28, 2019

Well explained, very good examples and very simple to understand.

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 Manuel P

Mar 10, 2019

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

par SUBHASHREE P

Sep 24, 2018

Very informative videos

par arun k

Oct 26, 2015

Great course. well presented

par Guilherme S

Oct 02, 2015

A good course, its just a little bit too short based on the content it wants us to focus. The chapter on presenting our information is funny because the slides presented contain every anti-pattern that they want us to avoid. Apart from that, a great course.

par CHAN, B K

Sep 21, 2015

Interesting and industry-insightful curriculum, contains some detail technicality like use of R programming language but provides hands-on video guidance to help student catch on the technicality.

par Dmitriy V

Dec 11, 2015

The final course assignment was not defined precisely enough which led to varying interpretations among graders and reduces grades for all as a result.

Otherwise a good intro course for the analytics specialization that focuses on the managerial aspects of data analytics and the communication of results.

I wish that links to supplementary reading on the statistics used in the course would be provided.

par Christopher A

Dec 10, 2015

I like Professor Glady's style of minimalism in lectures but stressing the end goal of the analytics. IT was an interestingly presented and fairly engaging course. Assignments could be more difficult to encourage deeper learning of the hands-on analytic crunching.

par Hugo C T

Dec 21, 2015

Excelent!

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 Jose L

Oct 16, 2015

They do it easy

par John M

Oct 13, 2015

Good foundations course, some basic working knowledge of R is required so i would recommend that you are able to use the software. Statistical basics is also important to grasp the work.

par William F

Apr 13, 2016

Ok

par Hurstel

Jan 10, 2016

Thoughtful and practical !

par Triboulet P

May 21, 2016

Excellente méthode pédagogique sur un sujet un peu technique mais passionna

par PRABHAT K

Nov 17, 2017

Excellent

par Eugene T

Nov 28, 2015

Great course on topic of strategic business analytics. However, it would have been better if there were more readings and examples shown to understand the concepts better.

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

par Wendy B

Apr 12, 2016

This course is great, but I would NOT pay for the specialization.