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Bewertung und Feedback des Lernenden für Foundations of strategic business analytics von ESSEC Business School

634 Bewertungen

Über den 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....



12. Okt. 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.


30. Apr. 2020

The course contains the in-depth knowledge which helps to learn more about the business analytics. The assignments will test your presentation skills and creativity skills

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101 - 125 von 146 Bewertungen für Foundations of strategic business analytics

von Prathibha R

16. Mai 2017

I found the examples uninspiring. And the instructor has a thick accent which made me go over the material a couple times.

von Gajanan G

19. Mai 2020

Recitals make this course complete and more understandable. Recitals also help to learn and practice R with R studio.

von Nidhi P

16. Apr. 2020

More examples and the information is very high level, maybe a bit more detail would be nice.

von Francisco I S R

10. Juni 2017

Nice introduction! very nicely presented, may more material to consult would be nice.

von Tristan H

19. Apr. 2020

Très bon cours qui permet d'acquérir les fondamentaux en Business Analytics

von Triboulet P

21. Mai 2016

Excellente méthode pédagogique sur un sujet un peu technique mais passionna

von Ezennajiego c J

10. Sep. 2020

A beautiful well rounded course. It's quite incisive and multi-dimensional

von Manuel P

10. März 2019

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

von Wendy B

11. Apr. 2016

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

von Sohan B

6. Mai 2020

Comprehensive course for covering basics of business analytics

von Ram R

10. Okt. 2015

good course. Can focus more on practical aspects


4. Mai 2020

Examples are quite excellent to work on.

von arun k

26. Okt. 2015

Great course. well presented

von Clément H

10. Jan. 2016

Thoughtful and practical !


24. Sep. 2018

Very informative videos

von Phan T B

18. Sep. 2016

Nice and helpful course

von Ivy R

11. Mai 2020

I like this course.

von Jose L

16. Okt. 2015

They do it easy

von Tarun B

1. Aug. 2018

Overall good.

von Mohammed S S

2. Jan. 2021

Good start


17. Nov. 2017


von Hugo C T

21. Dez. 2015


von William F

13. Apr. 2016


von Vladimir K

5. Apr. 2021

This course in general is quite interesting for business analysts: you will learn several easy but efficient data analysis tricks and techniques, and business outcome is always in the focus, which is very important. Data driven analysts quite often forget about business, so it will help you to focus more on business outcome. But there are multiple problems in this course. *sigh* First one is very low quality of the R code. Looks like instructors never heard about code style, good naming practices and code organisation. Code is written by amateur analyst, all the data sets will be named "data" in the same script, code is messy and inaccurate. You teach the people, show them how proffesional code look like in R! Second one -- poor quality of the queezes in the course -- they all require trivial -- you just need to correct the R script to pass. It doesn't bring any addititional value to the material you've just learned. And third drawback -- small amount of real students and a lot of cheaters, who submit random stuff and copy-paste your work after that. I see it for the first time on coursera(