About this Course
4.5
424 ratings
120 reviews
Specialization
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Hours to complete

Approx. 8 hours to complete

Suggested: 7 hours/week...
Available languages

English

Subtitles: English...

Skills you will gain

Market SegmentationCustomer Lifetime ValueMarketing AnalyticsMarketing Performance Measurement And Management
Specialization
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Hours to complete

Approx. 8 hours to complete

Suggested: 7 hours/week...
Available languages

English

Subtitles: English...

Syllabus - What you will learn from this course

Week
1
Hours to complete
26 minutes to complete

Module 0 : Introduction to Foundation of Marketing Analytics

In this short module, we will introduce the field of marketing analytics, and layout the structure of this course. We will also take that opportunity to explore a retailing data set that we’ll be using throughout this course. We will setup the environment, load the data in R (we’ll be using the RStudio environment), and explore it using simple SQL statements. ...
Reading
2 videos (Total 16 min), 1 reading
Video2 videos
Setting up the environment and exploring the data (recital)12m
Reading1 reading
.R files and dataset10m
Week
2
Hours to complete
1 hour to complete

Module 1 : Statistical segmentation

In this module, you will learn the inner workings of statistical segmentation, how to compute statistical indicators about customers such as recency or frequency, and how to identify homogeneous groups of customers within a database. We will alternate lectures and R tutorials, making sure that, by the end of this module, you will be able to apply every concept we will cover. ...
Reading
9 videos (Total 42 min), 2 readings, 1 quiz
Video9 videos
Hierarchical segmentation4m
Selecting the "right" number of segments2m
Segmentation variables1m
Recency, frequency, and monetary value1m
Computing recency, frequency and monetary value with R (Recital 1)8m
Data transformation3m
Preparing and transforming your data in R (Recital 2)3m
Running a hierarchical segmentation in R (Recital 3)10m
Reading2 readings
Acxiom URL10m
Instructions before starting the quiz 110m
Quiz1 practice exercise
Quiz module 1 - 20% of final grade10m
Week
3
Hours to complete
1 hour to complete

Module 2 : Managerial segmentation

Statistical segmentation is an invaluable tool, especially to explore, summarize, or make a snapshot of an existing database of customers. But what most academics will fail to tell you is that this kind of segmentation is not the method of choice for many companies, and for good reasons. In this module, you will learn to perform managerial segmentations, which are not built upon statistical techniques, but are an essential addition to your toolbox of marketing analyst. You will also learn how to segment a database now, but also at any point in time in the past, and why it is useful to managers to do so. ...
Reading
7 videos (Total 47 min), 1 reading, 1 quiz
Video7 videos
Developing a managerial segmentation3m
Coding a managerial segmentation in R (Recital 1)17m
Describing segments2m
Segmenting a database retrospectively in R (Recital 2)6m
Segments and revenue generation2m
R tutorial (Recital 3)12m
Reading1 reading
Instructions before starting quiz 210m
Quiz1 practice exercise
Quiz module 2 - 20% of final grade10m
Week
4
Hours to complete
1 hour to complete

Module 3 : Targeting and scoring models

How can Target predict which of its customers are pregnant? How can a bank predict the likelihood you will default on their loan, or crash your car within the next five years, and price accordingly? And if your firm only has the budget to reach a few customers during a marketing campaign, who should it target to maximize profit? The answer to all these questions is… by building a scoring model, and targeting your customers accordingly. In this module, you will learn how to build a customer score, which in marketing usually combines two predictions in one : what is the likelihood that a customer will buy something, and if he does, how much will he buy for? ...
Reading
4 videos (Total 29 min), 1 reading, 1 quiz
Video4 videos
What you need to develop a scoring model2m
Calibration data and statistical model5m
Building a predictive model in R (Recital)18m
Reading1 reading
Instructions before starting quiz 310m
Quiz1 practice exercise
Quiz module 3 - 20% of final grade10m
4.5
Career direction

17%

started a new career after completing these courses
Career Benefit

83%

got a tangible career benefit from this course
Career promotion

25%

got a pay increase or promotion

Top Reviews

By TBDec 2nd 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.

By MKFeb 8th 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.

Instructor

Avatar

Arnaud De Bruyn

Professor at ESSEC Business School
Marketing department

About ESSEC Business School

For over a century, ESSEC has been developing a state-of-the-art educational program that gives the individual pride of place in its learning model, promoting the values of freedom, openness, innovation and responsibility. Preparing future managers to reconcile personal interests with collective responsibility, giving consideration to the common good in their decision-making, and weighing economic challenges against the social costs are some of the objectives ESSEC has set for itself. Its ultimate goal? To create a global world that has meaning for us all. ...

About the Strategic Business Analytics Specialization

This specialization is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts. We recommend that you have some background in statistics, R or another programming language, and familiarity with databases and data analysis techniques such as regression, classification, and clustering.We’ll cover a wide variety of analytics approaches in different industry domains. You’ll engage in hands-on case studies in real business contexts: examples include predicting and forecasting events, statistical customer segmentation, and calculating customer scores and lifetime value. We’ll also teach you how to take these analyses and effectively present them to stakeholders so your business can take action. The third course and the Capstone Project are designed in partnership with Accenture, one of the world’s best-known consulting, technology services, and outsourcing companies. You’ll learn about applications in a wide variety of sectors, including media, communications, public service,etc. By the end of this specialization, you’ll be able to use statistical techniques in R to develop business intelligence insights, and present them in a compelling way to enable smart and sustainable business decisions. You’ll earn a Specialization Certificate from one of the world’s leading business schools and learn from two of Europe’s leading professors in business analytics and marketing....
Strategic Business Analytics

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.