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Avis et commentaires pour d'étudiants pour Foundations of marketing analytics par Ecole de commerce ESSEC

666 évaluations
176 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, in particular in marketing. 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. Business Analytics, Big Data and Data Science are very hot topics today, and for good reasons. Companies are sitting on a treasure trove of data, but usually lack the skills and people to analyze and exploit that data efficiently. Those companies who develop the skills and hire the right people to analyze and exploit that data will have a clear competitive advantage. It's especially true in one domain: marketing. About 90% of the data collected by companies today are related to customer actions and marketing activities.The domain of Marketing Analytics is absolutely huge, and may cover fancy topics such as text mining, social network analysis, sentiment analysis, real-time bidding, online campaign optimization, and so on. But at the heart of marketing lie a few basic questions that often remain unanswered: (1) who are my customers, (2) which customers should I target and spend most of my marketing budget on, and (3) what's the future value of my customers so I can concentrate on those who will be worth the most to the company in the future. That's exactly what this course will cover: segmentation is all about understanding your customers, scorings models are about targeting the right ones, and customer lifetime value is about anticipating their future value. These are the foundations of Marketing Analytics. And that's what you'll learn to do in this course....

Meilleurs avis

10 juin 2020

Clear practical explanation of concepts. However atleast a basic knowledge of R is essential to take up the course. Even if you don't know R the concepts can be understood except the coding part

20 avr. 2019

From the course I gained the knowledge of the fundamental of market analysis, it will not be too hard to understand, it gives you a general sense of how market analysis will be like.

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126 - 150 sur 171 Avis pour Foundations of marketing analytics

par Chandramohan S

30 mars 2018


par Ryan R

18 nov. 2015

I highly recommend this course because of its applicable use of R programming. I had no knowledge of R, but was able to pick it up quickly because the professor made it applicable to real life scenarios. My only negative was that it was too short of a course; I hope the team at ESSEC considers making a intermediate course to continue on with this training.

par Rachel O

11 nov. 2015

I have great learning on this even though I has some experiences on building marketing prediction model. It has refreshed my memory and also I have learned new thing in this course too. Thanks Prof for conducting this course.

par Shikha S

17 nov. 2015

This course so far is really very useful in my academics and through this course, I am now well-versed with all the marketing strategies used in the industry.

I would like to thank the professor for teaching us so well.

par Aritro S R

9 août 2017

Really enjoyed the lectures & the example. The quizzes could have been more challenging: both in terms of structuring the problem & coding

par Subham S D

9 juin 2019

This is a very good course which describes about how you can analyse your customers buying behaviour to make changes to your business.


27 févr. 2016

This course is well explained by Professor. Sometimes i found myself in trouble using R Syntax because i wasn't much familiar with it

par Krishna C

2 févr. 2016

Course is great with actual coding examples so that students can understand how the actual process happens.

par Manish T

15 nov. 2015

The course provides good insights in Marketing Analytics and impart introductory knowledge on the subject.

par Wendy B

11 avr. 2016

Very interesting course material. However, I do NOT recommend anyone to pay for the specialization.

par Nils R

28 janv. 2016

Very good for an overview. Would have been excellent with a more in-depth and demanding sequel.

par tom p

3 déc. 2015

Great introduction to the topic. Built on the last course and deepened my R knowledge a lot.

par aman g

9 nov. 2015

Received theoretical as well as practical knowledge from the course

par Rakesh K

22 nov. 2015

Just one more short videos on other methods of Marketing Analytics

par Gretchen Z

20 sept. 2016

Need some extra work in order to get this certification.

par Shivanand R K

21 juin 2016

Great and Excellent thoughts and course material.


19 janv. 2018

Great course, less useful than the first one

par Swarna S T

27 août 2020

Everything is shown in practical examples

par Harmandeep S B

20 avr. 2020

Good course and very simply taught.

par Jumana S

25 avr. 2017

a great way to compute rather th

par Priyanka G

29 mai 2018

Contents of the course is ni

par Suriyamoorthy K

21 mars 2018

Under the Marketing Techniqu

par CBO

16 mai 2017

Good introductory course...

par Harits M

30 nov. 2019

I like the use case a lot!

par Sanjay B

3 avr. 2018

Good knowledge course.