Given data arising from some real-world phenomenon, how does one turn that data into knowledge and that knowledge into action? Students will learn critical concepts and skills in computer programming and statistical inference in the process of conducting analysis of real-world datasets. Students will write computer programs for projects using the Python programming language. In considering applications, we will discuss how data can be used responsibly to benefit society.
Professor Kristin Stephens-Martinez
Email ksm at cs.duke.edu
Phone (919) 660-6581
- Tuesdays, 11:00 - 12:00 in LSRC D224
- Wednesdays 14:45 - 15:45 in the lobby outside of Biological Sciences 111.
Make an appointment! Fill out the form to request a private appointment with Professor Stephens-Martinez here
Graduate Teaching Assistant
Email nguerin at cs.duke.edu
- Tuesdays, 14:00 - 15:00 in LSRC D301
- Thursdays, 16:30 - 17:30 in LSRC D301
Undergraduate Teaching Assistants
Email allison.geary at duke.edu
- Sunday, 18:30-19:30 in Old Chem 123
Email russell.llave at duke.edu
- Mondays, 18:30-19:30 in Old Chem 123
Email qingning.zhang at duke.edu
- Tuesdays and Thursdays in 18:30-19:30, Old Chem 123
- Office Hours: TA & Instructor office hours are listed above
This course is a wholesale adoption of the Data 8 course developed at UC Berkeley.