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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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151 - 171 sur 171 Avis pour Foundations of marketing analytics

par Amit R

12 juil. 2018

course is very good

par Pablo C

28 févr. 2016

Outstanding course!

par Mengyu L

21 avr. 2017

Easy to understand

par Nanthakumar M

11 avr. 2020

Good to Learn.

par Nishu V

22 mars 2018

Good course ,

par Angel R O

21 avr. 2016

Very well

par josephmary

18 juin 2020


par William F

13 avr. 2016


par Sivaji M

11 avr. 2018


par Anant S

19 juin 2017

It will be better if CLV concept is fully and more clearly elobarated. Otherwise for concepts only its a nice course.

par surajeet g

2 nov. 2015

assignments could have been a little tougher with more emphasis on coding.

par Sasa L

2 juin 2017

Concepts are very good, but the questions are too simple.

par Eugene T

8 déc. 2015

Good insight into marketing analysis and the use of R

par Joanna W

22 sept. 2020

The module for quizzes attached cannot be opened.

par Devesh K S

1 sept. 2018

Good Data Analysis

par Somu G

9 avr. 2018


par Kumaravel R

8 avr. 2018



30 mars 2018

Difficult to understand for a person without software/coding backgroun

par Arash S T

13 sept. 2017

Too simplistic and elementary.


12 sept. 2018

TO imp

par Tariq H

5 sept. 2017