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ESSEC Business School

Foundations of marketing analytics

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.

Status: R Programming
Status: Data-Driven Decision-Making
Course5 hours

Featured reviews

LJ

5.0Reviewed Oct 2, 2020

The course is very useful and is simply fantastic. The explanations were structured well and were easy to understand. I have gained a lot of knowledge. Thank you.

SW

5.0Reviewed Dec 31, 2020

Marketing concepts are clearly and concisely explained. Data analytics part is nicely blended with those concepts. BIG Thumps Up from my side...!!!

DA

5.0Reviewed Jul 13, 2020

This Course was really an advanced level. The tests made us think and apply the learnt concepts. I am glad that i have opt for it. Overall, beautifully interpreted.

MK

5.0Reviewed Feb 7, 2016

I was expecting a lot from this course. from basic to advanced fundamentals. this course should be floated as full specialization rather than as a part of other specialization.

CK

5.0Reviewed Mar 11, 2018

Excellent course and perfectly taught by the professor. The course is easy to understand. With a very basic knowledge of R, one can understand a lot about marketing analytics.

PG

4.0Reviewed Feb 26, 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

VS

5.0Reviewed 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

LL

5.0Reviewed Apr 20, 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.

AS

5.0Reviewed Sep 18, 2019

It was explained in such a structured manner that I could grasp all the concepts with ease. Extremely helpful, would definitely recommend it!

JL

5.0Reviewed Nov 20, 2021

Really had fun learning about the data of marketing analytics. The professors/speakers of the video makes the lesson more interesting and easy to follow.

SB

5.0Reviewed May 30, 2018

It's so helpful to analize your customer in an easy way to understand the maths and the computational operations. Step-by-step to define what is it important to focus.

KA

5.0Reviewed Jun 18, 2020

A very well paced and insightful course. The fact that it was taught in R programming is a definite plus point.

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