Course Schedule


All Data Matters courses begin at 9:30 a.m. and run until 4 p.m. Lunch is on your own and a food court is within walking distance. Students may register for one class in each block. Students will need to bring their own laptops to class and will be expected to install any required software before the start of class.

Please note that, due to their popularity, we offer two sections of some courses. For these courses, please pay attention to which instructor you wish to take the class with.

Mon/Tue Block: Introduction to R for Data Science > Specify instructor Duggins or Post

Wed Block: Programming in R > Specify instructor Duggins or Post

Thurs/Fri Block: Intro to Data Mining & Machine Learning > Specify instructor Krishnamurthy or Vatsavai

Data Matters 2018
Course Topics

Block 1
Monday-Tuesday
Block 2
Wednesday
Block 3
Thursday-Friday
Advanced Statistics in R: Generalized Linear Models & Multi-level Modeling

Room: 4105

Instructor:
Din Chen

Network Analysis for Data Scientists

Room: 4105

Instructor:
Bill Shi

Working with Messy Data

Room: 4105

Instructor:
Brown Biggers

Introduction to R for Data Science

Room: Duke Energy AB

Instructor:
Justin Post

Programming in R

Room: Duke Energy AB

Instructor:
Justin Post

Introduction to Data Mining and Machine Learning

Room: Duke Energy AB

Instructor:
Raju Vatsavai

Introduction to R for Data Science

Room: Duke Energy CD

Instructor:
Jonathan Duggins

Programming in R

Room: Duke Energy CD

Instructor:
Jonathan Duggins

Introduction to Data Mining and Machine Learning

Room: Duke Energy CD

Instructor:
Ashok Krishnamurthy

Introduction to Python

Room: 4101

Instructor:
Jason Carter

Text Analysis in R

Room: 4101

Instructors:
Allison Blaine
Markus Wust

Intermediate Programming in R

Room: 4101

Instructor:
Justin Post

Effective Information Visualization

Room: 4505 Viz Lab

Instructor:
Eric Monson

Dynamic/Interactive Visualization

Room: 4505 Viz Lab

Instructor:
Lorin Bruckner

Visualization in Data Science Using R

Room: 4505 Viz Lab

Instructor:
Angela Zoss