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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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76 - 100 sur 171 Avis pour Foundations of marketing analytics

par Utkarsh s

8 sept. 2020

I have learned a lot from this course. Thank you

par Herson N M

4 juin 2017

Pratical Topics to increase revenue in a Company

par اسماء ب

27 mars 2016

lessons well explained with practical excercies

par Andrey R

23 août 2017

Excelent course with practical tools focuse.

par Barnava N

25 nov. 2015

thank you for the great learning experience.

par Alfonso P

3 mai 2020

Pragmatic, clear and concise! Great course.

par Mauricio E V A

16 sept. 2020

Un curso muy conciso y muy bien explicado!

par Pat L

25 sept. 2019

Very valuable quality! Good Professors!

par Santosh K D

29 mars 2018

Good knowledge acquired fro the course


3 févr. 2020

Thank You for teaching us this course

par Frederico A

8 janv. 2018

Nice overview of Marketing Analytics.

par Kailash M N

25 juil. 2020

very user-friendly and insightful!

par Christian B

7 nov. 2019

Great course. Clear and concise.

par Gilles H

28 juin 2020

Excellent cours. Merci Arnaud !

par JAI S

16 juin 2020

it was very knowledgble course.

par Tatiana Y

1 févr. 2016

Great course and great teacher!

par Riktesh S

6 nov. 2015

Thanks for such a great insight

par Srikanth B

26 avr. 2018

Very good course, useful to da

par david g

8 juin 2016

fantastic from start to finish

par Xuecong S

7 juin 2016

Simple and easy to follow! :D

par Maneshivaji S

12 mars 2018

Valuable and Professionally

par Ichsan H

8 févr. 2016

Love the practical example!

par Vishal M

1 sept. 2019

relevant and to the point.

par Abhishek D

9 août 2017

Great introductory course!

par Rajat G

23 juin 2019

It was a fantastic course