Data Matters: Data Science Short Course Series


 
Sponsored by the National Consortium for Data Science (NCDS), the Renaissance Computing Institute (RENCI), and the Odum Institute for Research in Social Science, the Data Matters: Data Science Short Course Series is a week-long series of classes for researchers, data analysts, and other individuals who wish to increase their skills in data studies and integrate data science methods into their research designs.
 
Individuals from all disciplines and industries are welcome. Both one- and two-day courses will be offered; participants are welcome to register for one, two, or three classes.
 

Dates and Location

Dates:

August 13 – 17, 2018

Time:

9:30 a.m. – 4:00 p.m.

Location:

James B. Hunt Jr. Library
North Carolina State University
1070 Partners Way
Raleigh, NC 27606

 

Back to top 

 

Course Schedule

Please visit the Data Matters website for full course descriptions and instructor bios.

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

Room: 4107
Instructor: Din Chen
Text Analysis in R

Room: 4107
Instructors: Allison Blaine & Markus Wust
Working with Messy Data

Room: 4107
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
Intermediate Programming in R

Room: 4105
Instructor: Justin Post
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
Effective Information Visualization

Room: 4505 Viz Lab
Instructor: Eric Monson
Network Analysis for Data Scientists

Room: 4105
Instructor: Bill Shi
Introduction to Data Mining and Machine Learning

Room: Duke Energy AB
Instructor: Raju Vatsavai
Introduction to Python

Room: 4105
Instructor: Jason Carter
Dynamic/Interactive Visualization

Room: 4505 Viz Lab
Instructor: Lorin Bruckner
Visualization in Data Science Using R

Room: 4505 Viz Lab
Instructor: Angela Zoss

Back to top 

Registration and Pricing Details

Faculty, staff, students:
$275 for the entire week
Faculty, staff and students register here
Corporate rates:
$250/day
Corporate, register here
Non-profit rates:
$200/day
Non-profits, register here

Back to top