Spring Ahead: Course Schedule

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.

Basics of R for Data
Science and Statistics

Justin Post, NC State

Visualization for Data
Science in R

Angela Zoss, Duke Univ.

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.