Course Schedule


All Data Matters courses begin at 10 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.

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

4107
Instructor: Din Chen

Text Analysis in R

4107
Instructor: Allison Blaine
Markus Wust

Working with Messy Data

4107
Instructor: Brown Biggers

Introduction to R for Data Science (Section 1)

Duke Energy AB
Instructor: Justin Post

Programming in R (Section 2)

Duke Energy AB
Instructor: Justin Post

Intermediate Programming in R

4105
Instructor: Justin Post

Introduction to R for Data Science (Section 2)

Duke Energy CD
Instructor: Jonathan Duggins

Programming in R (Section 1)

Duke Energy CD
Instructor: Jonathan Duggins

Introduction to Data Mining and Machine Learning (Section 1)

Duke Energy CD
Instructor: Ashok Krishnamurthy

Effective Information Visualization

4505 Viz Lab
Instructor: Eric Monson

Network Analysis for Data Scientists

4505 Viz Lab
Instructor: Bill Shi

Introduction to Data Mining and Machine Learning (Section 2)

Duke Energy AB
Instructor: Raju Vatsavai

Introduction to Python

4105
Instructor: Jason Carter

Dynamic/Interactive Visualization

4105
Instructor: Lorin Bruckner

Visualization in Data Science Using R

4505 Viz Lab
Instructor: Angela Zoss