Visual Analytics 2016-2017

This course will introduce you to techniques and tools for analyzing and visualizing data. It emphasizes how to combine computation and visualization to perform effective analysis. The course consists of two parts: a series of lectures on analytics and a series of lectures on visualization. Both parts will include hands-on tutorials during which you will work on analysis problems and start to build your own tools.

Course Instructors

Part 1: Ecole Centrale

• Petra Isenberg (main contact)

There will also be guest lectures throughout the year

Location and Time

See the Schedule page above for details but generally the class runs on Thursdays from 9:15-12:30 and 14:00-17:15 in D113E at Supelec.

Requirements

• Install Tableau data visualization software is provided through the Tableau for Teaching program.
• Install R Studio

Grading

• Assignments: 70%
• Exam: 30%

Late Policy

For assignments we will deduct 10% for each day (including weekends) the assignment is late. If you do not hand in your assignments (project components) in class, you are responsible for getting them to our desks at Université Paris Sud.

Additional Resources

If you are interested in learning more R or Python, check out https://www.datacamp.com/