STA 199: Introduction to 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, data visualization, and effectively communicating results. Work on problems and case studies inspired by and based on real-world questions and data. The course will introduce and focus on the R statistical computing language.


Course info

Lectures

  Online      Monday, Wednesday, Thursday 9:00 - 10:15am EDT

Labs

Lab 01      Online       Friday 9:00 - 10:15am EDT

Lab 02      Online      Asynchronous



Teaching team and office hours
Instructor Becky Tang   M 1:30-3:00pm; W 10:30am-12:00pm
TA Marc Brooks F 11:00am-1:00pm

Texts

All books are freely available online. Hardcopies are also available for purchase.
R for Data Science Grolemund, Wickham O'Reilly, 1st edition, 2016
OpenIntro Statistics Diez, Barr, Çetinkaya-Rundel CreateSpace, 4th Edition, 2019
Introductory Statistics with Randomization and Simulation Diez, Barr, Çetinkaya-Rundel CreateSpace, 1st Edition, 2014

Materials

You should have a fully-charged laptop, tablet with keyboard, or comparable device to every lecture and lab session.





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 https://sustainability.duke.edu/action/certification/classroom.