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 Spring 2019 include Introduction to Python, R, STATA and High Performance Computing. Faculty from UI3, Educational Measurement and Statistics and Political Science will teach the courses.
The Data Science Institute is sponsored by the Iowa Informatics Initiative (UI3) and the Iowa Social Science Research Center (ISRC).
The Data Science Institute for Spring 2019 will take place in Room # 40 Schaeffer Hall.
January 7, 2019 – 8:30 Am – 12:15 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 – 12:15 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 – 12:15 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, 2019 – 8:30 Am – 12:15 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.
