date_range Inicia em 9 de março de 2020
event_note Termina em 1 de junho de 2020
list 13 sequencias
assignment Nível: Intermediário
chat_bubble_outline Idioma: Inglês
card_giftcard 1300 pontos
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Informações principais

credit_card Free accesso
verified_user Certificado pago
timer 130 total de horas

Sobre o conteúdo

In the last decade, the amount of data available to organizations has reached unprecedented levels. Data is transforming business, social interactions, and the future of our society. In this course, you will learn how to use data and analytics to give an edge to your career and your life. We will examine real world examples of how analytics have been used to significantly improve a business or industry. These examples include Moneyball, eHarmony, the Framingham Heart Study, Twitter, IBM Watson, and Netflix. Through these examples and many more, we will teach you the following analytics methods: linear regression, logistic regression, trees, text analytics, clustering, visualization, and optimization. We will be using the statistical software R to build models and work with data. The contents of this course are essentially the same as those of the corresponding MIT class (The Analytics Edge). It is a challenging class, but it will enable you to apply analytics to real-world applications.

The class will consist of lecture videos, which are broken into small pieces, usually between 4 and 8 minutes each. After each lecture piece, we will ask you a "quick question" to assess your understanding of the material. There will also be a recitation, in which one of the teaching assistants will go over the methods introduced with a new example and data set. Each week will have a homework assignment that involves working in R or LibreOffice with various data sets. (R is a free statistical and computing software environment we'll use in the course. See the Software FAQ below for more info). At the end of the class there will be a final exam, which will be similar to the homework assignments.

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Pré-requisito

Basic mathematical knowledge (at a high school level). You should be familiar with concepts like mean, standard deviation, and scatterplots. Mathematical maturity and prior experience with programming will decrease the estimated effort required for the class, but are not necessary to succeed.

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Programa de estudos

  • An applied understanding of many different analytics methods, including linear regression, logistic regression, CART, clustering, and data visualization
  • How to implement all of these methods in R
  • An applied understanding of mathematical optimization and how to solve optimization models in spreadsheet software
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Instrutores

Dimitris Bertsimas
Boeing Professor of Operations Research
MIT

Allison O'Hair
Lecturer
Stanford University

John Silberholz
Assistant Professor of Technology and Operations at U. of Michigan's Ross School of Business
University of Michigan

Iain Dunning
Senior Research Engineeer
DeepMind Technologies Ltd

Angie King
Data Scientist
End-to-End Analytics

Velibor Misic
Assistant Professor at UCLA's Decisions, Operations and Technology Management Anderson School of Management
University of California, Los Angeles

Nataly Youssef
President
MyA Health

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Criador do conteúdo

MIT

Le Massachusetts Institute of Technology (MIT), en français Institut de technologie du Massachusetts, est un institut de recherche américain et une université, spécialisé dans les domaines de la science et de la technologie. Situé à Cambridge, dans l'État du Massachusetts, à proximité immédiate de Boston, au nord-est des États-Unis, le MIT est souvent considéré comme une des meilleures universités mondiales.

Il édite la Technology Review, une revue scientifique consacrée aux sciences de l'ingénieur et à l'innovation.

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Plataforma

Edx

EdX est une plateforme d'apprentissage en ligne (dite FLOT ou MOOC). Elle héberge et met gratuitement à disposition des cours en ligne de niveau universitaire à travers le monde entier. Elle mène également des recherches sur l'apprentissage en ligne et la façon dont les utilisateurs utilisent celle-ci. Elle est à but non lucratif et la plateforme utilise un logiciel open source.

EdX a été fondée par le Massachusetts Institute of Technology et par l'université Harvard en mai 2012. En 2014, environ 50 écoles, associations et organisations internationales offrent ou projettent d'offrir des cours sur EdX. En juillet 2014, elle avait plus de 2,5 millions d'utilisateurs suivant plus de 200 cours en ligne.

Les deux universités américaines qui financent la plateforme ont investi 60 millions USD dans son développement. La plateforme France Université Numérique utilise la technologie openedX, supportée par Google.

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