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120 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....

Top-Bewertungen

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.

CG

May 01, 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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51 - 75 von 116 Bewertungen für Foundations of strategic business analytics

von Fahad A

Apr 21, 2018

it's address my current problem in my work

von Ahmad A

May 12, 2020

Simple, direct and very useful.

von Moncef S

Dec 22, 2016

very rich and valuable course !

von GAURAV B

Oct 14, 2015

Great course for fundamentals!

von silvia j o p

Jan 26, 2016

Very complete and usefull

von Jafar S

Oct 18, 2018

Very usefull und practi

von Seshadri S K

Dec 05, 2015

It's a great course

von William K

Dec 02, 2015

Wonderful course.

von Ali N

Sep 26, 2016

Really worth it.

von MANOJ K

Feb 08, 2016

Awesome course.

von Alicia A M G

Sep 20, 2015

Awesome Course

von Aarti v

Apr 20, 2020

great course

von Marco T

Sep 28, 2015

Really nice

von Carlos E B A

May 08, 2016

Very good!

von Pedro M P

Oct 27, 2015

Amazing

von Durga B P

Aug 15, 2016

Its OK

von Marcela G

May 10, 2016

Great!

von Affum m s J

Nov 11, 2018

great

von Nijat

Apr 22, 2020

good

von Nikos L

Dec 07, 2017

V

von 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.

von 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.

von 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

von 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.

von 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!