Choose one course per block. Each course follows a daily schedule with four lecture sessions and scheduled breaks, as listed at the bottom of the page.
Course Block 1
March 13 – 14
Monday – Tuesday
Course Block 2
March 15 – 16
Wednesday – Thursday
Introduction to Effective Information Visualization
Eric Monson, Duke Univ.
Visualization for Data
Science in R
Angela Zoss, Duke Univ.
Basics of R for Data
Science and Statistics
Justin Post, NC State
Introduction to Python
Laura Tateosian, NC State
Daily Schedule
All times are in the EST (Eastern Standard Time) – same as New York City.
Lecture Time: 9:30 a.m. – 10:35 a.m.
Break: 10:35 a.m. – 10:50 a.m.
Lecture Time: 10:50 a.m. – 11:55 a.m.
Lunch: Start at 11:55 a.m.
Lecture Time: 1:10 p.m. – 2:15 p.m.
Break: 2:15 p.m. – 2:30 p.m.
Lecture Time: 2:30 p.m. – 3:35 p.m.
Q&A and Feedback: 3:35 p.m. – 3:40 p.m.