The University of Iowa, a pioneer in Informatics research, will host a data science institute featuring a number of mini-classes the week of January 7-10, 2019. The workshop is a collaborative effort between the Iowa Social Science Research Center (ISRC) and the Iowa Informatics Initiative (UI3). The institute will teach participants about the basic building blocks of coding as applied in the fields of the Biological, Physical, Social Sciences, and Digital Humanities. We welcome faculty, staff, post-docs, graduate, and undergraduate students interested in building new skills in informatics. The topics for Winter 2019 include Introduction to Python, R, STATA and High Performance Computing.
Faculty from UI3, Educational Measurement and Statistics and Political Science will lead half day courses in 140 Schaeffer Hall (SH). Each course will involve a three and a half house morning session focused on instructor presentation of the material. Visit our website for more information. The number of seats per session is limited to 50. To register for all or individual sessions, click here. If the class is already full, your name will be added to a wait list.
This introductory class will cover the basic elements in Python data analytics and provide hands-on practice. Topicsinclude 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 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 are expected to bring their own laptops.
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 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.
This introductory course in Stata will cover the basics of data preparation and manipulation in Stata. Topics include importing data, merging and combining data sets, cleaning data, variables, variable manipulations, loops, and data visualization.
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.