STA 112FS: Data Science

Intro to data science and statistical thinking. Learn to explore, visualize, and analyze data to understand natural phenomena, investigate patterns, model outcomes, and make predictions, and do so in a reproducible and shareable manner. Gain experience in data wrangling and munging, exploratory data analysis, predictive modeling, and data visualization, and effective communication of results. Work on problems and case studies inspired by and based on real-world questions and data. And do it all with R!

Course info

Class meetings Link Classroom 1 Tu Th 10:05 - 11:20
Professor Mine Çetinkaya-Rundel     OH: Wed 9:30 - 12:00 Old Chem 213
TA Eidan Jacob   OH: Mon 3:30 - 4:30 + Fri 3:30 - 4:30 Old Chem 025
Books Books are freely available online
R for Data Science Grolemund, Wickham O'Reilly, 1st edition, 2016
OpenIntro Statistics Diez, Barr, Çetinkaya-Rundel CreateSpace, 3rd Edition, 2015

Important dates

  • Exam 01 - due Tue, Oct 2
  • Exam 02 - due Tue, Nov 13
  • Final project presentations - Fri, Dec 14

Green Classroom

This course has achieved Duke’s Green Classroom Certification. The certification indicates that the faculty member teaching this course has taken significant steps to green the delivery of this course. Your faculty member has completed a checklist indicating their common practices in areas of this course that have an environmental impact, such as paper and energy consumption. Some common practices implemented by faculty to reduce the environmental impact of their course include allowing electronic submission of assignments, providing online readings and turning off lights and electronics in the classroom when they are not in use. The eco-friendly aspects of course delivery may vary by faculty, by course and throughout the semester. Learn more at