Informações sobre o curso
4.5
414 classificações
118 avaliações
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....
Globe

cursos 100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Calendar

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Clock

Approx. 7 hours to complete

Sugerido: 6 hours/week...
Comment Dots

English

Legendas: English...

Habilidades que você terá

Market SegmentationCustomer Lifetime ValueMarketing AnalyticsMarketing Performance Measurement And Management
Globe

cursos 100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Calendar

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Clock

Approx. 7 hours to complete

Sugerido: 6 hours/week...
Comment Dots

English

Legendas: English...

Programa - O que você aprenderá com este curso

Week
1
Clock
26 minutos para concluir

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 vídeos (Total de 16 min), 1 leitura
Video2 videos
Setting up the environment and exploring the data (recital)12min
Reading1 leituras
.R files and dataset10min
Week
2
Clock
1 hora para concluir

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 vídeos (Total de 42 min), 2 leituras, 1 teste
Video9 videos
Hierarchical segmentation4min
Selecting the "right" number of segments2min
Segmentation variables1min
Recency, frequency, and monetary value1min
Computing recency, frequency and monetary value with R (Recital 1)8min
Data transformation3min
Preparing and transforming your data in R (Recital 2)3min
Running a hierarchical segmentation in R (Recital 3)10min
Reading2 leituras
Acxiom URL10min
Instructions before starting the quiz 110min
Quiz1 exercício prático
Quiz module 1 - 20% of final grade10min
Week
3
Clock
1 hora para concluir

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 vídeos (Total de 47 min), 1 leitura, 1 teste
Video7 videos
Developing a managerial segmentation3min
Coding a managerial segmentation in R (Recital 1)17min
Describing segments2min
Segmenting a database retrospectively in R (Recital 2)6min
Segments and revenue generation2min
R tutorial (Recital 3)12min
Reading1 leituras
Instructions before starting quiz 210min
Quiz1 exercício prático
Quiz module 2 - 20% of final grade10min
Week
4
Clock
1 hora para concluir

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 vídeos (Total de 29 min), 1 leitura, 1 teste
Video4 videos
What you need to develop a scoring model2min
Calibration data and statistical model5min
Building a predictive model in R (Recital)18min
Reading1 leituras
Instructions before starting quiz 310min
Quiz1 exercício prático
Quiz module 3 - 20% of final grade10min
4.5
Direction Signs

17%

comecei uma nova carreira após concluir estes cursos
Briefcase

83%

consegui um benefício significativo de carreira com este curso
Money

25%

recebi um aumento ou promoção

Melhores avaliações

por 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.

por 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.

Instrutores

Arnaud De Bruyn

Professor at ESSEC Business School
Marketing department

Sobre 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. ...

Sobre o Programa de cursos integrados Strategic Business Analytics

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

Perguntas Frequentes – FAQ

  • 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.

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