Block 1
August 7-8
Monday-Tuesday
Block 2
August 9
Wednesday
Block 3
August 10-11
Thursday-Friday
Introduction to Big Data & Machine Learning for Survey Researchers & Social Scientists
Trent Buskirk, Bowling Green State University
Exploratory Data Analysis Using R Markdown
Jonathan Duggins, NC State University
Introduction to Effective Information Visualization
Eric Monson, Duke University
Basics of R for Data Science and Statistics
Santiago Olivella, UNC
Overview to AI and Deep Learning
Siobhan Day Grady, NC Central
Deep Learning with Python
Adel Alaeddini, Univ of Texas San Antonio
Introduction to Programming in R
Jonathan Duggins, NC State
Intermediate Python
Jason Carter, UNC
Statistical Machine Learning Using R
Yufeng Liu, UNC
Introduction to Python
Jason Carter, UNC
Introduction to Geospatial Data for the Data Scientist
Bill Wheaton
Basic Statistics in R
Vanessa Miller
Visualization in Data Science Using R
Angela Zoss, Duke University
Advanced Visualization in R: R Shiny
Angela Zoss, Duke University
Geospatial Analytics
Laura Tateosian, NC State
Daily Schedule
All times are in the EDT (Eastern Daylight 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.