Course Schedule

Block 1
August 7-8

Block 2
August 9

Block 3
August 10-11

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.