The Analytics Edge

Closed
Course
en
English
130 h
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  • 13 Sequences
  • Intermediate Level
  • Starts on September 13, 2020
  • Ends on December 6, 2020

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Course details

Syllabus

  • 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

Prerequisite

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.

Instructors

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

Editor

MIT is a world-class educational institution where teaching and research — with relevance to the practical world as a guiding principle — continue to be its primary purpose.

MIT is independent, coeducational, and privately endowed. Its five schools and one college encompass numerous academic departments, divisions and degree-granting programs, as well as interdisciplinary centers, laboratories and programs whose work cuts across traditional departmental boundaries.

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