This session focuses on using NumPy and pandas to handle and manipulate structured datasets. Participants will learn how to load, clean, and summarize data efficiently to prepare it for deeper analysis. Workshop conducted via Zoom. Register to receive the Zoom link with instructions on how to connect. Supplemental materials are available at https://libguides.rutgers.edu/datascience/python.
Numbers alone rarely tell the whole story. In this workshop, you’ll discover how to bring data to life through powerful visuals and interactive dashboards. With Power BI, you’ll learn how to create charts and reports that make complex information clear, professional, and engaging. Whether you’re presenting at work, showing results in class, or simply trying … Read More
In this workshop, college students will be introduced to the transformative potential of Artificial Intelligence (AI) such as ChatGPT and Gemini in research and literature review. Participants will learn how to effectively harness AI tools and learn about different AI applications that can be used in conjunction with library databases. Additionally, students will be taught … Read More
This workshop introduces visualization techniques using matplotlib and seaborn. Participants will practice creating clear and informative plots to explore patterns and relationships in data. Workshop conducted via Zoom. Register to receive the Zoom link with instructions on how to connect. Supplemental materials are available at https://libguides.rutgers.edu/datascience/python.
Maintenance is usually scheduled for weekdays because it often involves coordination with university facilities teams or external vendors. There may also be times when Amarel must be unavailable due to externally-scheduled data center facilities, power, or telecommunications maintenance. When this happens, we will do our best to avoid adding to a month’s downtime with our … Read More
Some of the tidyverse's most powerful features are its abilities to import, filter, and otherwise manipulate data. This session reviews major packages within the tidyverse that relate to the essential data handling steps required before (and during) data analysis. Supplemental materials are available.
Creating reproducible research, literate programming documents, and using knitr, Sweave, blogdown, and bookdown The RStudio environment enables the easy creation of documents in various formats (HTML, DOC, PDF) using Rmarkdown, while knitr allows the incorporation of executable R code to produce the tables and figures in those documents. Sweave provides more advanced LaTeX typesetting, while … Read More
Celebrate GIS Day and Geography Awareness week! Together with fellow Rutgers students, staff, and faculty, you will contribute geospatial data to OpenStreetMap, a free and editable map of the world that is used by communities, organizations, and governments worldwide to address local development challenges and aid disaster response.
This workshop will teach students how to explore and access SAS data sets, import and export non-SAS file formats, and manipulate data with formulas and assignment statements. All skill levels are welcome!
Learn about the ethical implications of Generative AI. This is an introduction to the ethical concerns of using Generative AI and will address privacy, copyright, plagiarism, bias, and misinformation. The session will also touch on the environmental and societal impacts of Generative AI.