This session covers creating interactive visualizations with Shiny in RStudio, delivering Shiny visualizations on the web, and hosting a Shiny server. 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/data_topics Instructor: Ryan Womack Related LibGuide: Data Topics by Ryan Womack Date:Tuesday, October 27, […]

Learn practical ML application to achieve a simple predictive model and performance interpretation through these key topics: When to use machine learning Basic model building Model evaluation and limitations Attendees will develop a simple predictive model with associated performance interpretation. (Applied Data Science, Workshop 4) Instructor: Terri-Ann Grant Related LibGuide: Data Science - Graduate Specialists by […]

Sharing your data and code is the essential step in maximizing the impact and usefulness of your research. This workshop first reviews repositories for data publication such as Dataverse, ICPSR, OSF, Zenodo, and more. Then we turn to a detailed discussion of building R packages. R Packages are an excellent way to distribute collections of […]

NVivo queries let participants search, analyze, and visualize coded data to find patterns across files. This session covers the three main query types and their visualization NVivo offers, moving from simplest to more complex. This session assumes participants already know how to code files in NVivo. Word frequency query (word cloud) Text search query (word […]

This session presents an overview of major data resources and methods of locating data with a focus on diversity and data for minorities and underrepresented groups. 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/data_topics Instructor: Ryan Womack Related LibGuide: Data Topics by […]

Learn how to integrate spatial data with ML through these key topics: Spatial feature engineering Basic clustering or classification Interpreting spatial ML outputs Attendees will develop a simple spatial model and map-based prediction. (GIS & Spatial Analytics, Workshop 4) Instructor: Terri-Ann Grant Related LibGuide: Data Science - Graduate Specialists by Ryan Womack Date:Tuesday, November 3, 2026 […]

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! Instructor: Jonathan Torres (Business Librarian) Date:Thursday, November 5, 2026 Time:11:00am - 12:00pm Time Zone:Eastern Time - US & Canada (change) Division:Newark Event Type:  […]

NVivo queries let participants search, analyze, and visualize coded data to find patterns across files. This session covers the three main query types and their visualization NVivo offers, moving from simplest to more complex. This session assumes participants already know how to code files in NVivo. Word frequency query (word cloud) Text search query (word […]

Students will learn how to use, retrieve, export, and parse datasets with Wharton Research Data Services (WRDS). WRDS is a web-based business data management system that allows researchers to retrieve information from financial, economic, and marketing data sources. This workshop is limited to RBS Ph.D. students only. Instructor: Jonathan Torres (Business Librarian) Date:Friday, November 6, […]

Learn how to address real-world data challenges with the goals of dataset retrieval via API and a cleaned dataset ready for analysis through these key topics: Accessing APIs (e.g., World Bank, WHO) Data cleaning and transformation Handling missing/inconsistent data Attendees will develop a cleaned dataset ready for analysis from a dataset retrieved by API. (Applied […]

Students will learn how to use Tableau for creating data visualization formats and real-time data analytics features using business datasets. Learn how to prepare, analyze, and share your data. Instructor: Jonathan Torres (Business Librarian) Date:Friday, November 13, 2026 Time:3:00pm - 4:00pm Time Zone:Eastern Time - US & Canada (change) Division:Newark Event Type:  Workshop  Topics:  Data […]

This session covers how to create reproducible research and literate programming documents using knitr, Sweave, Quarto, 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 […]

Learn analytical GIS techniques through these key topics: Buffer analysis Proximity and accessibility Service coverage analysis Attendees will develop a spatial analysis result with decision-based insight. (GIS & Spatial Analytics, Workshop 5) Instructor: Terri-Ann Grant Related LibGuide: Data Science - Graduate Specialists by Ryan Womack Date:Tuesday, November 17, 2026 Time:4:00pm - 6:00pm Time Zone:Eastern Time - […]

The capstone session will be structured as a guided lab where participants transform workshop outputs into a cohesive, portfolio-ready project using pre-configured datasets and notebooks to ensure completion within a two-hour session. Key topics during the workshop include: Structuring a data project Presenting results clearly Preparing work for GitHub or academic submission Attendees who complete […]

This short course helps everyone make those first few steps toward productively using a Linux cluster for research — all members of the Rutgers community have free access to the Amarel Cluster. The workshop covers the basics of HPC Cluster, Web access to the cluster, SLURM, File System and Storage, and Setting up environment for […]

Sharing your data and code is the essential step in maximizing the impact and usefulness of your research. This workshop first reviews repositories for data publication such as Dataverse, ICPSR, OSF, Zenodo, and more. Then we turn to a detailed discussion of building R packages. R Packages are an excellent way to distribute collections of […]

This capstone workshop focuses on developing a complete GIS portfolio project with key topics including: Structuring GIS projects Combining maps with analysis Presenting results Attendees who complete the series with this session will have a GIS project that is portfolio-ready. (GIS & Spatial Analytics, Workshop 6) Instructor: Terri-Ann Grant Related LibGuide: Data Science - Graduate Specialists […]