Course Schedule

Block 1
August 9-10

Block 2
August 11

Block 3
August 12-13

Introduction to Effective Info Visualization

Eric Monson, Duke Univ.

Exploratory Data Analysis Using R Markdown

Jonathan Duggins, NC State

Visualization for Data Science Using R

Angela Zoss, Duke Univ.

Basics of R for Data Science and Statistics

Justin Post, NC State

Improving R Programs

Justin Post, NC State

Introduction to Deep Learning with Python

Ashok Krishnamurthy, UNC

Introduction to Programming in R

Jonathan Duggins, NC State

Intermediate Python

Jason Carter, UNC

Introduction to Statistical Machine Learning Using R

Yufeng Liu, UNC

Introduction to Programming Using Python

Jason Carter, UNC

Using Linked Data

Jim Balhoff, RENCI

R For Automating Workflow & Sharing Work

Justin Post, NC State

Text Analysis Using R

Alison Blaine, Red Hat

Daily Schedule

All times are in the EST (Eastern Standard Time).

Session 1: 9:30 – 10:40 a.m.

Break: 10:40 – 10:55 a.m.

Session 2: 10:55 a.m. – 12:05 p.m.

Lunch: 12:05 – 1:20 p.m.

Session 3: 1:20 – 2:30 p.m.

Break: 2:30 – 2:45 p.m.

Session 4: 2:45-3:55 p.m.

Q&A and Feedback: 3:55 – 4:00 p.m.