ITS/ISRC Data Science Institute, Introduction to Stata
After a two-year hiatus, The University of Iowa, a pioneer in Informatics research, offered its data science institute in June 2022. The institute included a number of mini-classes in the morning to teach participants (faculty, graduate, and undergraduate students) the basic building blocks of coding as applied in the fields of the Biological, Physical, and Social Sciences. This session focused on basic introductions to software and computing tools. All sessions met in person and were organized and sponsored by UI's ITS Research Services and the Iowa Social Science Research Center, part of the UI Public Policy Center.
Each course involved a 3-hour morning session focused on instructor presentation of the material in 140 Schaeffer Hall (SH 140). The number of seats per session were limited to 60 and were free for anyone to attend upon registration.
You can view more information about each class on our website at https://datascience-workshop.uiowa.edu/schedule.
Please contact Fred Boehmke or Sai Ramadugu with questions.
Schedule
June 6, 2022 - 9:00 am - 12:00 pm: Introduction to Tidyverse/R - Dr. Brandon LeBeau
This hands on course provided an introduction to the tidyverse, a data analysis framework in R that provides users a simple vocabulary to data analysis. Topics covered included: introduction to data visualization, data management, and exploratory data analysis using the tidyverse. This course was hands on, therefore attendees were encouraged to bring a laptop with R and RStudio already installed. No prior R knowledge was needed.
June 7, 2022 - 9:00 am - 12:00 pm: Introduction to Stata - Prof. Fred Boehmke
This introductory course in Stata covered the basics of data preparation and manipulation in Stata. Topics addressed included importing data, merging and combining data sets, cleaning data, variables, variable manipulations, loops, and data visualization.
June 8, 2022 - 9:00 am - 12:00 pm: Introduction to High Performance Computing (HPC) using Argon - Dr. Sai Kumar Ramadugu
This session was intended for anyone who will be running jobs on Argon. The training session covered 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.