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Learner Reviews & Feedback for Foundations of strategic business analytics by ESSEC Business School

4.4
stars
645 ratings

About the Course

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 reviews

PT

Oct 12, 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.

SK

Sep 28, 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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26 - 50 of 149 Reviews for Foundations of strategic business analytics

By Philippe B

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Dec 16, 2020

Great content for an introduction of how statistics and data analysis can be applied to business situations. The recitals are great to practice and go deeper. Be careful though, you still need to be computer-savvy and have good notions in statistics and computer science to make the most of this course!

By Karolina W

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Mar 23, 2020

Excellent course. It provided a perfect mix of theoretical lectures (although focused on real life examples) and practical use cases of R Programming in the business context. I would recommend it to anyone wishing to expand their data analytics toolkit. I found it extremely relevant and enjoyable.

By Hashan M

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Apr 15, 2020

It is great as it was to doing this course. The content and the lectures was really fantastic. Complexity comes into practical experience with serious of learning materials. Highly appreciated and recommended the course. This would be window to many other opportunities. Thanks in advance.

By walid s

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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

By Shengyu C

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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.

By The S f D

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Mar 8, 2020

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

By Ihar V

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Nov 12, 2020

Good course for people who just started to open business analytics. For people who are mature, it is basic. So I cannot say that this is an advance level and there is no clear explanation for R functions and mathematical methods using in this course.

By Gordon S

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Jun 28, 2016

This course does well to balance its focus on strategy and analytics. The analytics aren't overly in-depth, allowing for less technical individuals to reap benefits from the course. I highly recommend this course to consultants and business analysts.

By Deleted A

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Nov 24, 2015

A truly fabulous MOOC. Granted you have to be proficient in R and have an understanding of business practices for maximum benefit but it is well worth gaining such skills just to take this course - you won't regret it.

By Paul N

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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.

By Estanislao M F

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Jun 30, 2020

Even though I did enjoy the course, I think that more data analysis content should be provided. It would also help if more examples of presentations were provided. Nevertheless I found it to be quite useful!

By SUPRIYA K

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Sep 29, 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

By Leonardo C A

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Aug 10, 2020

Excellent course to learn the basis of Strategic Business Analytics: precious concepts, relevant business use cases and very pedagogical. I totally recommend this course.

By Keith P D C

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Dec 3, 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.

By Jason M C

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Oct 21, 2015

Absolutely outstanding course. I have thoroughly enjoyed the blending of technical methodology and business necessity of the analyses demonstrated.

By Dan M

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Jul 20, 2020

A very good introduction to analytics. If one has some previous experience, the course succeeds in offering a fresh and structured perspective.

By Ricardo M

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Apr 27, 2017

Thanks for the course. It was business oriented and very practical. It really added to the business analytics approach I was looking for.

By BIDHI K

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Apr 16, 2020

It is an extensive course with week-by-week depth of knowledge provided. Loved the recitals! Instructor is very effective in teaching.

By Alibek M

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Feb 8, 2022

Good course. BUT, there are more details behind you should be aware or too in order to become a good analyst. Like autocorrelation.

By Sébastien G

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Jan 25, 2019

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

Learnt how to apply standard statistic models on datasets.

By Barnaby L

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Apr 2, 2016

Great course which uses R to have you do classification, linear and logistic regression to address business topics.

By Tom P

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Dec 3, 2015

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

By Кальман Д Э

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Mar 2, 2017

Very informative and logically consistent. Great way to get to know R.

Very useful for wanna-be consultants)

By Juan E

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Sep 17, 2021

Very interesting course with practice using R language. Practices are clear and applicable to real cases

By Alfonso P

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Apr 28, 2020

Great course! Straight forward, complete, practical, and very well delivered. Profesor Glady is awesome.