UNIVERSITY PARK, Pa. — Beginning Feb. 3, the Research Informatics and Publishing department at Penn State University Libraries will offer 12 workshops on topics such as statistical data analysis, data visualization, big data analytics in the cloud, and maps and GIS. In addition, one invited session for News Content Analysis will be given by guest speakers from the Social Sciences Library and the William and Joan Schreyer Business Library. The goal of these sessions is to introduce resources and expertise in these areas that are available through the University Libraries.
Sessions are free and open to all Penn State faculty, staff and students. Advance registration is required; registration and additional information is provided at the link for each session.
For more information, contact repub@psu.edu.
Data Analytics and Visualization (online)
Open to undergraduate and graduate students, postdocs, faculty and staff.
- Introduction to Power BI for Data Analytics and Visualization — Feb. 3, 1–2:30 p.m.
- Introduction to Big Data Analytics on Cloud: Azure, AWS, GCP — Feb. 10, 1–3 p.m.
- Introduction to Data Analytics and Visualization with Tableau — Feb. 17, 1–2:30 p.m.
- Introduction to Survey Data Analysis with Tableau — Feb. 24, 1–2:30 p.m.
Maps and GIS (online or in person)
Open to undergraduate and graduate students, postdocs, faculty and staff.
- Introduction to GIS Data, Software, and Map Resources — Feb. 21, 3–4 p.m. (online/W13 Pattee Library)
- Using Geospatial Data, Media, and Narrative in ArcGIS StoryMaps — Feb. 23, 3–4 p.m. (online/W13 Pattee Library)
- Migrating to ArcGIS Pro from ArcMap — Feb. 28, 1-3 p.m. (online/W211A Pattee Library)
Statistical Analysis in R (online)
Open to graduate students, postdocs, faculty and staff.
Register for this workshop series here. Registration for this series is required and will close March 1.
- Statistical Analysis in R: Basics of RStudio — March 14, 2–4 p.m.
- Statistical Analysis in R: Exploratory Data Analysis and Visualization — March 21, 2–4 p.m.
- Statistical Analysis in R: Introduction to Inferential Statistics — March 28, 2–4 p.m.
- Statistical Analysis in R: ANOVA — April 4, 2–4 p.m.
- Statistical Analysis in R: Regression Analysis — April 11, 2–4 p.m.
News as Data: News Content Analysis (Online)
Open to undergraduate and graduate students, postdocs, faculty and staff.
- News as Data: Using the Lexis Nexis Web Services API for News Content Analysis — March 24, 1–2:30 p.m.