Chevron Left
返回到 市场分析基础

学生对 ESSEC商学院 提供的 市场分析基础 的评价和反馈

729 个评分
185 条评论


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....



Jun 10, 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


Aug 16, 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


151 - 市场分析基础 的 175 个评论(共 181 个)

创建者 Shivanand R K

Jun 21, 2016

Great and Excellent thoughts and course material.


Jan 19, 2018

Great course, less useful than the first one

创建者 Swarna S T

Aug 27, 2020

Everything is shown in practical examples

创建者 Harmandeep S B

Apr 20, 2020

Good course and very simply taught.

创建者 Jumana S

Apr 25, 2017

a great way to compute rather th

创建者 Priyanka G

May 29, 2018

Contents of the course is ni

创建者 Suriyamoorthy K

Mar 21, 2018

Under the Marketing Techniqu

创建者 CBO

May 16, 2017

Good introductory course...

创建者 Deleted A

Nov 30, 2019

I like the use case a lot!

创建者 Sanjay B

Apr 3, 2018

Good knowledge course.

创建者 Amit R

Jul 12, 2018

course is very good

创建者 Pablo C

Feb 28, 2016

Outstanding course!

创建者 Mengyu L

Apr 21, 2017

Easy to understand

创建者 Nanthakumar M

Apr 11, 2020

Good to Learn.

创建者 Nishu V

Mar 22, 2018

Good course ,

创建者 Angel R O

Apr 21, 2016

Very well

创建者 josephmary

Jun 18, 2020


创建者 William F

Apr 13, 2016


创建者 Sivaji M

Apr 11, 2018


创建者 Anant S

Jun 19, 2017

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

创建者 surajeet g

Nov 2, 2015

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

创建者 Sasa L

Jun 2, 2017

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

创建者 Eugene T

Dec 8, 2015

Good insight into marketing analysis and the use of R

创建者 Joanna W

Sep 22, 2020

The module for quizzes attached cannot be opened.

创建者 Devesh K S

Sep 1, 2018

Good Data Analysis