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Course15.07135 lectures

The Analytics Edge

Prof. Dimitris Bertsimas · Massachusetts Institute of Technology

Start with lecture 1 At MIT OpenCourseWare

About

This course presents real-world examples in which quantitative methods provide a significant competitive edge that has led to a first order impact on some of today’s most important companies. We outline the competitive landscape and present the key quantitative methods that created the edge (data-mining, dynamic optimization, simulation), and discuss their impact.

Lectures

1.1 Welcome to Unit 1

  1. Welcome to Unit 1 1 min · Video

1.2 The Analytics Edge: Intelligence, Happiness, and Health (Lecture Sequence)

  1. Video 1: Introduction to The Analytics Edge 5 min · Video

1.4 Understanding Food: Nutritional Education with Data (Recitation)

  1. Welcome to Recitation 1 1 min · Video

2.1 Welcome to Unit 2

  1. Welcome to Unit 2 1 min · Video

2.2 The Statistical Sommelier: An Introduction to Linear Regression

  1. Video 1: Predicting the Quality of Wine 5 min · Video

2.3 Moneyball: The Power of Sports Analytics

  1. Introduction to Baseball Video YouTube

2.4 Playing Moneyball in the NBA (Recitation)

  1. Welcome to Recitation 2 1 min · Video

3.1 Welcome to Unit 3

  1. Welcome to Unit 3 1 min · Video

3.2 Modeling the Expert: An Introduction to Logistic Regression

  1. Video 1: Replicating Expert Assessment 5 min · Video

3.3 The Framingham Heart Study: Evaluating Risk Factors to Save Lives

  1. Video 1: The Framingham Heart Study 5 min · Video

3.4 Election Forecasting: Predicting the Winner Before any Votes are Cast (Recitation)

  1. Welcome to Recitation 3 1 min · Video

4.1 Welcome to Unit 4

  1. Welcome to Unit 4 1 min · Video

4.2 Judge, Jury, and Classifier: An Introduction to Trees

  1. Video 1: The Supreme Court 6 min · Video

4.3 Keeping an Eye on Healthcare Costs: The D2Hawkeye Story

  1. Video 1: The Story of D2Hawkeye 5 min · Video

4.4 Location, Location, Location: Regression Trees for Housing Data (Recitation)

  1. Welcome to Recitation 4 1 min · Video

5.1 Welcome to Unit 5

  1. Welcome to Unit 5 1 min · Video

5.2 Turning Tweets into Knowledge: An Introduction to Text Analytics

  1. Video 1: Twitter 3 min · Video

5.3 Man vs. Machine: How IBM Built a Jeopardy Champion

  1. Video 1: IBM Watson 6 min · Video

5.4 Predictive Coding: Bringing Text Analytics to the Courtroom (Recitation)

  1. Welcome to Recitation 5 1 min · Video

6.1 Welcome to Unit 6

  1. Welcome to Unit 6 1 min · Video

6.2 Recommendations Worth a Million: An Introduction to Clustering

  1. Video 1: Introduction to Netflix 5 min · Video

6.3 Predictive Diagnosis: Discovering Patterns for Disease Detection

  1. Video 1: Heart Attacks 3 min · Video

6.4 Seeing the Big Picture: Segmenting Images to Create Data (Recitation)

  1. Welcome to Recitation 6 1 min · Video

7.1 Welcome to Unit 7

  1. Welcome to Unit 7 1 min · Video

7.2 Visualizing the World: An Introduction to Visualization

  1. Video 1: The Power of Visualizations 4 min · Video

7.3 The Analytical Policeman: Visualization for Law and Order

  1. Video 1: Predictive Policing 5 min · Video

7.4 The Good, the Bad, and the Ugly: Visualization Recitation (Recitation)

  1. Welcome to Recitation 7 1 min · Video

8.1 Welcome to Unit 8

  1. Welcome to Unit 8 1 min · Video

8.2 Airline Revenue Management: An Introduction to Linear Optimization

  1. Video 1: Introduction 4 min · Video

8.3 Radiation Therapy: An Application of Linear Optimization

  1. Video 1: Introduction 6 min · Video

8.4 Google AdWords: Optimizing Online Advertising (Recitation)

  1. Welcome to Recitation 8 1 min · Video

9.1 Welcome to Unit 9

  1. Welcome to Unit 9 1 min · Video

9.2 Sports Scheduling: An Introduction to Integer Optimization

  1. Video 1: Introduction 6 min · Video

9.3 eHarmony: Maximizing the Probability of Love

  1. Video 1: The Goal of eHarmony 4 min · Video

9.4 Operating Room Scheduling: Making Hospitals Run Smoothly (Recitation)

  1. Welcome to Recitation 9 1 min · Video

Syllabus and materials

At MIT OpenCourseWare, as the course publishes them.

Credits and licence

Institution
Massachusetts Institute of Technology
Department
Sloan School of Management
Teacher
Prof. Dimitris Bertsimas
Term
Spring 2017
Level
Graduate
Language
English
Subjects
Mathematics, Business and management
Source
MIT OpenCourseWare
Licence
CC BY-NC-SA 4.0, as MIT OpenCourseWare states it. Non-commercial use only. MIT OpenCourseWare's terms
Attribution
Prof. Dimitris Bertsimas. The Analytics Edge. Spring 2017. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu/. License: Creative Commons BY-NC-SA.
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