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.
The Penn Libraries recently became an institutional member of the Qualitative Data Repository, a dedicated archive for storing and sharing qualitative and multi-method data. In this session, Lynda Kellam, Head of Research Data Services, and Joanna Thompson, Librarian for Education, will give an overview of QDR and the benefits of our membership.
Learn the fundamentals of setting type and letterpress printing on our Vandercook cylinder presses. We will also discuss alternatives to setting type for printing on the press (photopolymer plates, linoleum, pressure printing).
Never used Excel? Explore foundational Microsoft Excel concepts and skills useful in course assignments and on the job.
Preparing for a role in industry or business consulting? This hands-on introduction will guide you through essential Microsoft Excel skills with business applications.
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.
Want images that speak louder than words? Practice a process for visualizing data in Microsoft Excel so you can communicate your findings in class and on the job.
Computational text analysis (or text mining) is finding, extracting, and analyzing patterns while processing large amounts of text. Attendees will learn an array of computational text analysis concepts, tools, platforms, and resources for getting started with your research.
Never worked in R? Get a jump on your business or academic career by exploring this powerful statistical programming language and its popular environment, RStudio.
