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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: Customer Analysis
Status: R Programming
Course5 hours

Featured reviews

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.

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.

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.

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

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.

TB

5.0Reviewed Dec 1, 2017

Lectures were insightful and very applicable. Learning was reinforced with well documented R scripts. After this course I feel capable of applying these concepts to my own company.

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.

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.

GC

5.0Reviewed 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

AR

4.0Reviewed Aug 8, 2017

Really enjoyed the lectures & the example. The quizzes could have been more challenging: both in terms of structuring the problem & coding

AS

5.0Reviewed Jul 5, 2018

This is a really good foundational course in Marketing Analytics. The concepts covered are useful and quite relevant from a professional career perspective.

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