• From January 1, 2018
  • To October 27, 2022

Python Users Group Meeting

September 1, 2022
3:00 pm - 5:00 pm

PUG@Penn (Python Users Group) brings together members of the Penn community interested in or already working with the popular open-source programming language Python. This drop-in, informal, collaboratively-oriented group meets once per month to experiment and explore the many uses for Python across academic disciplines and industries. All are welcome – no prior experience with Python […]

R for STAT 101

September 5, 2022
4:00 pm - 5:30 pm

[For Penn Students only] Never worked in R? Get ready for your first STAT 101 assignment by exploring the R statistical programming language and its popular environment, RStudio. Navigate RStudio’s interface​ Do arithmetic​ Store data as objects​ Import data from a file Explore data structures Get data from a data frame Prerequisite: Install R and RStudio before attending. Sign […]

Excel Basics

September 6, 2022
12:00 pm - 1:00 pm

Never used Excel? Explore foundational Microsoft Excel concepts and skills useful in course assignments and on the job. Navigate using keyboard shortcuts​​​ Enter and reference values​​ Develop and edit formulas Note: Install Excel (for Windows) before attending, or use our on-site computers. Registration required. See for registration information Where: Yablon Financial Resources Lab, Room 244 in […]

Intro to QGIS

September 8, 2022
3:00 pm - 4:00 pm

In this workshop, we will explore GIS data models and formats, various components of the free and open source QGIS interface and tools, creating a new map, adding data layers, changing layer symbol and display properties, creating map layouts with legends, titles, north arrows, and other map elements. Registration is required. There are 12 seats […]

R Penn Group

September 8, 2022
3:00 pm - 5:00 pm

The R Penn Group (RPG) presented by the Research Data & Digital Scholarship team at Penn Libraries is a group that meets to discuss, learn, and collaborate on topics and projects related to statistics, mapping, data wrangling, visualization, and analysis with R programming language through hands-on problem-solving. Whether you are working on job-marketable data upskilling, […]