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Voltar para Fundações das análises de mercado

Comentários e feedback de alunos de Fundações das análises de mercado da instituição ESSEC Business School

694 classificações
181 avaliações

Sobre o curso

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....

Melhores avaliações

10 de Jun de 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

16 de Ago de 2021

Very good course. It helps to have a short PDF file embedded along with notes, containing the most commonly used R commands and its usage so that Newbies get a chance to understand this quickly

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151 — 175 de 177 Avaliações para o Fundações das análises de mercado

por Jumana S

25 de Abr de 2017

a great way to compute rather th

por Priyanka G

29 de Mai de 2018

Contents of the course is ni

por Suriyamoorthy K

21 de Mar de 2018

Under the Marketing Techniqu

por CBO

16 de Mai de 2017

Good introductory course...

por Deleted A

30 de Nov de 2019

I like the use case a lot!

por Sanjay B

3 de Abr de 2018

Good knowledge course.

por Amit R

12 de Jul de 2018

course is very good

por Pablo C

28 de Fev de 2016

Outstanding course!

por Mengyu L

21 de Abr de 2017

Easy to understand

por Nanthakumar M

11 de Abr de 2020

Good to Learn.

por Nishu V

22 de Mar de 2018

Good course ,

por Angel R O

21 de Abr de 2016

Very well

por josephmary

18 de Jun de 2020


por William F

13 de Abr de 2016


por Sivaji M

11 de Abr de 2018


por Anant S

19 de Jun de 2017

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

por surajeet g

2 de Nov de 2015

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

por SASA L

2 de Jun de 2017

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

por Eugene T

8 de Dez de 2015

Good insight into marketing analysis and the use of R

por Joanna W

22 de Set de 2020

The module for quizzes attached cannot be opened.

por Devesh K S

1 de Set de 2018

Good Data Analysis

por Somu G

9 de Abr de 2018


por Kumaravel R

9 de Abr de 2018



30 de Mar de 2018

Difficult to understand for a person without software/coding backgroun

por Arash S T

13 de Set de 2017

Too simplistic and elementary.