Course Schedule

Block 1

August 12-13
Monday-Tuesday
Block 2

August 14
Wednesday
Block 3

August 15-16
Thursday-Friday
Advanced Statistical Modeling and Computing Using R
An Introduction to Deep Learning with R
Network Analysis for Data Scientists
Din Chen

4107
Maximum: 24
Ashok Krishnamurthy

4107
Maximum: 24
Bill Shi

4107
Maximum: 24
Introduction to R for Data Science
(Section 1)
Programming in R
(Section 1)
Working with Messy Data
Justin Post

Duke Energy AB
Maximum: 45
Justin Post

Duke Energy AB
Maximum: 45
Brown Biggers

Duke Energy AB
Maximum: 45
Introduction to R for Data Science
(Section 2)
Programming in R
(Section 2)
Introduction to Machine Learning & Data Mining Using R
(Section 2)
Jonathan Duggins

Duke Energy CD
Maximum: 45
Jonathan Duggins

Duke Energy CD
Maximum: 45
Yufeng Liu

Duke Energy CD
Maximum: 45
Introduction to Programming Using PythonText Analysis in RIntermediate Programming in R
Jason Carter

4105
Maximum: 24
Alison Blaine

4105
Maximum: 24
Justin Post

4105
Maximum: 24
Introduction to Machine Learning & Data Mining
(Section 1)
Introduction to Effective Information Visualization
Visualization for Data Science Using R
Ashok Krishnamurthy

4505
Maximum: 30
Eric Monson

4505
Maximum: 30
Angela Zoss

4505
Maximum: 30

Daily Schedule

Session 1: 9:30 – 10:40 a.m.

Break: 10:40 – 10:50 a.m.

Session 2: 10:50 a.m. – 12:00 p.m.

Lunch: 12:00 – 1:15 p.m.

Session 3: 1:15 – 2:25 p.m.

Break: 2:25 – 2:35 p.m.

Session 4: 2:35-3:45 p.m.

Q&A and Feedback: 3:45 – 4:00 p.m.