How to Process, Analyze and Visualize Data

by Adam Marcus, Eugene Wu

Data science! Big data! Statistics! Infographics! Buzzword!


We have added links to the lectures for each day in the course outline.

Course Outline

This is a lab-oriented course where you will learn the basics to Each day will start with a 30 minute lecture followed by 2.5 hours of lab. Students will work through labs and exercises during class. We will post links to them prior to lecture.

Please make sure to complete Day 0 before the first class!!


We are grateful to our sponsors for speaking to students about their real-world experience and for covering our expenses.


Our Tools

We wrote the lab pages using Markdown, a markup language that compiles to HTML.

Days 1, 2 and 4 were written in Mou, an OS X markdown editor with nice default css files. The CSS file can be downloaded here.

Days 3 and 5 were written in a hacked version of pycco, which lets you write Markdown as comments in your python files and generates an HTML file that includes the compiled markdown interspersed with python code that is syntax highlighted. The default pycco generates HTML where the comments and python code are split onto the left and right parts of the screen. We hacked pycco to include the python code in-line. You can see the code on the github page

General Info

During MIT IAP
Jan 9-12, 17-18, 11am - 2pm, Room 32-144

Please bring a laptop to every class.

Participants requested to attend all sessions
Prereq: 6.01 or prior python

Sign up by Jan 8!