
MIT OpenCourseWare
A free and open online publication of educational material from thousands of MIT courses, covering the entire MIT curriculum, ranging from introductory to the most advanced graduate courses. On the OCW website, each course includes a syllabus, instructional material like notes and reading lists, and learning activities like assignments and solutions. Some courses also have videos, online textbooks, and faculty insights on teaching. Knowledge is your reward. There's no signup or enrollment, and no start or end dates. OCW is self-paced learning at its best. Whether you’re a student, a teacher, or simply a curious person that wants to learn, MIT OpenCourseWare (OCW) offers a wealth of insight, inspiration, videos, and a whole lot more! Get the full picture on the OCW website at https://ocw.mit.edu. Accessibility: https://accessibility.mit.edu/ User comments policy: https://ocw.mit.edu/comments/ (Channel banner photo by Nietnagel on Flickr: https://flic.kr/p/8WXxfK.)
Episodes


9.4.3 R9. Operating Room Scheduling - Video 2: An Optimization Model

4.3.5 Healthcare Costs - Video 3: The Variables

3.3.11 The Framingham Heart Study - Video 6: Overall Impact

1.3.10 Working with Data - Video 5: Data Analysis - Summary Statistics and Scatterplots

1.3.4 Working with Data - Video 2: Getting Started in R

3.2.10 Introduction to Logistical Regression - Video 6: ROC Curves

2.2.13 An Introduction to Linear Regression - Video 7: Making Predictions

1.2.1 The Analytics Edge - Video 1: Introduction to The Analytics Edge

2.3.3 Sports Analytics - Video 2: Making It to the Playoffs

4.3.3 Healthcare Costs - Video 2: Claims Data

8.2.4 An Introduction to Linear Optimization - Video 3: The Problem Formulation

6.2.5 An Introduction to Clustering - Video 3: Movie Data and Clustering

5.2.4 An Introduction to Text Analytics - Video 3: Creating the Dataset

3.4.4 R3. Election Forecasting - Video 3: A Sophisticated Baseline Method

9.2.5 Sports Scheduling - Video 3: Solving the Problem

9.4.4 R9. Operating Room Scheduling - Video 3: Solving the Problem

8.2.10 An Introduction to Linear Optimization - Video 6: Sensitivity Analysis

4.2.3 An Introduction to Trees - Video 2: CART

1.2.2 The Analytics Edge - Video 2: Example 1 - IBM Watson
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