ITS/ISRC Data Science Institute, Introduction to Tidyverse/R
After a two-year hiatus, The University of Iowa, a pioneer in Informatics research, will again offer its data science institute in June 2022. The institute will include 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 will focus on basic introductions to software and computing tools. All sessions are scheduled to meet in person. This workshop is 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 will involve a 3-hour morning session focused on instructor presentation of the material. Sessions will meet in 140 Schaeffer Hall (SH 140). The number of seats per session is limited to 60. There will be a waitlist accessed through the registration survey if the quota fills for each session.
You can view more information about each class on our website at https://datascience-workshop.uiowa.edu/schedule.
Follow the below link to register for the June Data Science Institute. There is no fee associated with the institute. You can register for any or all of the sessions listed below.
Register here: https://uiowa.qualtrics.com/jfe/form/SV_5nBd7fV1TMPpwNw
Please contact Fred Boehmke or Sai Ramadugu with questions.
June 6, 2022 - 9:00 am - 12:00 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.
June 7, 2022 - 9:00 am - 12:00 pm: Introduction to Stata - Prof. Fred 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.
June 8, 2022 - 9:00 am - 12:00 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.