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.

Staff

Instructor

Professor Kristin Stephens-Martinez

Email ksm at cs.duke.edu

Phone (919) 660-6581

Office Hours

  • 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

Nate Guerin

Email nguerin at cs.duke.edu

Office Hours

  • Tuesdays, 14:00 - 15:00 in LSRC D301
  • Thursdays, 16:30 - 17:30 in LSRC D301

Undergraduate Teaching Assistants

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Allison Geary

Email allison.geary at duke.edu

Office Hours

  • Sunday, 18:30-19:30 in Old Chem 123

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Russell Llave

Email russell.llave at duke.edu

Office Hours

  • Mondays, 18:30-19:30 in Old Chem 123

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Vicki Zhang

Email qingning.zhang at duke.edu

Office Hours

  • Tuesdays and Thursdays in 18:30-19:30, Old Chem 123

Getting Help

Acknowledgements

This course is a wholesale adoption of the Data 8 course developed at UC Berkeley.

Thank you to John DeNero, Mine Çetinkaya-Rundel, Jeff Forbes, Minna Ng, Max Bartlett, José San Martin, Man-Lin Hsiao, and Liam Pulsifer for their help in developing this course.