Fall 2016 Data Science Short Courses

The Library’s Research Data Services is offering a 1-credit short course series in collaboration with the Data Science Institute. The graduate-level short courses meet for 5 weeks, and are designed to provide some focused, hands-on training on different topics and tools; researchers from any discipline are welcome to join in the fun.

To register search for Subject “DS” and Course Number “6559” in SIS. Full-time employees of UVA can use their Education Benefit and register through the Community Scholar Program.

DS 6559-001 Data Wrangling in Python (1 credit, meets the first five weeks of the semester)
Pete Alonzi
T,R 2:00-3:15 from 8/23/2016-9/22/2016
Mechanical Engineering Building 214

This course covers data cleaning and data manipulation in Python, including reading and writing data, the Pandas library for cleaning, transforming, merging, reshaping, and data aggregation, and the Matplotlib library for plotting.

DS 6559-002 Text as Data (1 credit, meets the second five weeks of the semester)
Michele Claibourn
T,R 2:00-3:15 from 9/27/2016-11/01/2016
Mechanical Engineering Building 214

This course will cover text mining techniques using R. In particular, we’ll focus on processing text in R, exploratory methods, sentiment analysis, and topic models, including structural topic models for the inclusion of covariates. Some basic familiarity with R will be helpful, but not required. Examples will be drawn primarily from the social sciences.