The Data Science Institute for Spring 2019 will take place in Room # 40 Schaeffer Hall). 

January 7, 2019 - 8:30 Am - 12:30 Pm: Introduction to Python Data Analytics - Dr. Kang Pyo Lee

This introductory class will cover the basic elements in Python data analytics and provide hands-on practice. The topics to be covered include an introduction to data analytics and Python, Python basics for data analysis, and data preparation/exploration/visualization using widely used data analytics libraries in Python. Participants will also be able to learn how to take advantage of an interactive web-based data analytics environment called Jupyter Notebook. No prior experience in Python is necessary for this class. Participants will be expected to bring their own laptops.


January 8, 2019 - 8:30 Am - 12:30 Pm:  Introduction to Tidyverse/R - Dr. Brandon Lebeau

This hands on course will provide an introduction to the tidyverse, a data analysis framework in R that provides users a simple vocabulary to data analysis. Topics covered will include: introduction to data visualization, data management, and exploratory data analysis using the tidyverse. This course is intended to be hands on, therefore attendees are encouraged to bring a laptop with R and RStudio already installed. No prior R knowledge is needed.


January 9, 2019 - 8:30 Am - 12:30 Pm: Introduction to Stata - Dr. Frederick J. Boehmke

This introductory course in Stata will cover the basics of data preparation and manipulation in Stata. Topics addressed will include importing data, merging and combining data sets, cleaning data, variables, variable manipulations, loops, and data visualization.


January 10, 2018 - 8:30 Am - 12:30 Pm:  - Introduction to High Performance Computing (HPC) using Argon - Dr. Sai Kumar Ramadugu

This session is intended for anyone who will be running jobs on Argon.  The training session covers the following aspects:

  • How to make the most effective use of HPC resources
  • Connecting to the Argon cluster
  • Launching HPC jobs
  • Getting your data to and from Argon
  • Getting access to the software you need

For Introduction to HPC using Argon workshop, attendees need an account on the HPC cluster, Argon. If you do not have an account on Argon, you cannot do the hands-on session. Please apply HERE if you do not have an account.