Visual Analytics 2017-2018

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

• Petra Isenberg (main contact)
• Pierre Dragicevic (guest teacher, statistics)
• Christoph Kinkeldey (guest teacher, uncertainty)
• Jean-Daniel Fekete (guest teacher, big data)

Location and Time

See the Schedule page above for details but generally the class runs from 9:30-12:45 twice a week in the new Ecole Centrale building.

Requirements

• Install Tableau data visualization software is provided through the Tableau for Teaching program. You can also get your own key by signing up for a student license or look in the Slack channel for the key for our class.
• Install R and R Studio
• Join the Slack Channel. Every student received an invitation to their ECP email address.

Grading

• Assignments: 60%
• Exam: 30%
• Participation: 10%

Late Policy

For assignments I 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 my desk at the Digiteo Moulon building (Bat 660, Paris Sud)

Additional Resources

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