Foundations of marketing analytics
link Источник: www.coursera.org
list 5 последовательности
assignment Уровень : Начальный
chat_bubble_outline Язык : английский
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Резюме

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.

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Программа

  • Week 1 - 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, l...
  • Week 2 - 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 lectur...
  • Week 3 - 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 com...
  • Week 4 - 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 customer...
  • Week 5 - Module 4 : Customer lifetime value
    In this module, you will learn how to use R to execute lifetime value analyses. You will learn to estimate what is called a transition matrix -which measures how customers transition from one segment to another- and use that information to make invaluable pred...
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Arnaud De Bruyn
Professor at ESSEC Business School
Marketing department

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Разработчик

ESSEC Business School

Institution académique d’excellence créée en 1907, ESSEC BUSINESS SCHOOL s’est, tout au long de son histoire, illustrée par son esprit pionnier, partagé par la communauté de ses 46 000 diplômés.

Aujourd’hui, l’ESSEC propose à Cergy-Pontoise, Paris-La Défense et Singapour une large gamme de programmes, en formation initiale et continue, irrigués par une recherche de pointe.
Marquée par une profonde tradition humaniste, l’ESSEC a fait du lien entre vie économique et société un enjeu fondamental de la formation de managers responsables. Par là-même, l’ESSEC affirme la nécessité de mettre l’innovation, le savoir et la création de valeur au service de l’intérêt général."

Nous sommes dans un monde en pleine mutation, économique, sociale, culturelle : nos étudiants doivent développer leur sens de l’adaptation, surtout leur créativité, et la place du numérique est un sujet majeur.

L’étudiant adapté aux besoins économiques de demain est quelqu’un qui tient les deux bouts de la chaîne entre d’une part, une très forte compétence sur le plan des humanités modernes – les humanités classiques plus les humanités numériques – et d’autre part, un professionnalisme incluant la compétence numérique. Sans oublier la technicité réelle que donne l’expérience ESSEC telle que nous sommes en train de la revitaliser grâce au plan stratégique.

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Платформа

Coursera

Coursera - это цифровая компания, предлагающая массовые открытые онлайн-курсы, основанные учителями компьютеров Эндрю Нгом и Стэнфордским университетом Дафни Коллер, расположенные в Маунтин-Вью, штат Калифорния.

Coursera работает с ведущими университетами и организациями, чтобы сделать некоторые из своих курсов доступными в Интернете, и предлагает курсы по многим предметам, включая: физику, инженерию, гуманитарные науки, медицину, биологию, социальные науки, математику, бизнес, информатику, цифровой маркетинг, науку о данных и другие предметы.

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