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

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

Topics

Learning Resource Types

Lecture Notes

Problem Sets

Programming Assignments

Download Course

Programming Assignments

Additional setup resources

Day 0 Syllabus and Setup

Day 1 Lab Handout

Day 2 Lab Handout

Day 3 Lab 2011 County Health Rankings dataset

Day 3 Lab Handout source files

Day 3 Lab Part A Handout

Day 3 Lab Part B Handout

Day 4 Lab Enron dataset subset (json)

Day 4 Lab Enron dataset subset (zip)

Day 4 Lab Handout

Day 4 Lab Handout source files

Day 4 Lecture Notes: Text Processing

Day 5 Lab encode_emails.py

Day 5 Lab Handout

Day 5 Lab Handout source files

Course Info

Instructors

Departments

Electrical Engineering and Computer Science

As Taught In

January IAP 2012

Level

Non-Credit

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

Topics

Learning Resource Types

Lecture Notes

Problem Sets

Programming Assignments

Download Course

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