How to Process, Analyze and Visualize Data | Electrical Engineering and Computer Science | MIT OpenCourseWare

Course Info

Instructors

Departments

Electrical Engineering and Computer Science

As Taught In

January IAP 2012

Level

Non-Credit

Topics

Engineering
- Computer Science
  - Data Mining
  - Graphics and Visualization

Learning Resource Types

Problem Sets

Lecture Notes

Programming Assignments

Download Course

Lecture Notes

Day 0 Lecture Notes: Setup

Day 1 Lecture Notes: Let’s Play with Data!

Day 2 Lecture Notes: Visualizations

Day 3 Lecture Notes: Hypothesis Testing

Day 5 Lecture Notes: Processing Large Datasets

Day 6 Lecture Notes: Course Recap

Course Info

Instructors

Departments

Electrical Engineering and Computer Science

As Taught In

January IAP 2012

Level

Non-Credit

Topics

Engineering
- Computer Science
  - Data Mining
  - Graphics and Visualization

Learning Resource Types

Problem Sets

Lecture Notes

Programming Assignments

Download Course

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