Once you’ve taken your first steps with Python, it’s time to do more. In this workshop, we’ll go further into how Python can help you work with information. You’ll learn how to handle collections of data, write simple reusable code, and explore how to pull meaning out of datasets. By working hands-on with examples, you’ll […]

Learn to interpret models for decision making through these key topics: Linear and logistic regression Model interpretation (coefficients, significance) Translating results into real-world meaning Attendees will develop a regression model with associated plain-language interpretation. (Applied Data Science, Workshop 2) Instructor: Terri-Ann Grant Related LibGuide: Data Science - Graduate Specialists by Ryan Womack Date:Tuesday, September 29, 2026 […]

Schedule subject to change; check https://ai-math-seminar.github.io/seminar/ for speakers, abstracts, and slides. The seminar explores the fast-growing interface between mathematical reasoning, formal methods, and modern AI systems. It is co-organized by DIMACS and the Mathematics Department at Rutgers University, New Brunswick. Here is the YouTube channel for the talks in this seminar. Date: Sep 30, 2026 […]

Data Visualization 2 This workshop will cover creating interactive visualizations with Shiny in RStudio, as well as 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 […]

In an increasingly digital world, protecting your personal information is more important than ever. This workshop provides a clear, practical introduction to data privacy and security, helping you understand the risks you face online and the steps you can take to safeguard your data. This session focuses on simple, actionable tips you can start using […]

This session introduces basic descriptive data analysis and data wrangling in the context of the R statistical software environment, along with some comparisons to Python methods. Workshop conducted via Zoom. Register to receive the Zoom link with instructions on how to connect. Supplemental materials are available at libguides.rutgers.edu/data_topics Instructor: Ryan Womack Related LibGuide: Data Topics by […]

Learn applied spatial analysis through these key topics: Using GeoPandas Spatial joins Attendees will develop a mapping datasets using GeoPandas. (GIS & Spatial Analytics, Workshop 2) Instructor: Terri-Ann Grant Related LibGuide: Data Science - Graduate Specialists by Ryan Womack Date:Tuesday, October 6, 2026 Time:4:00pm - 6:00pm Time Zone:Eastern Time - US & Canada (change) Event Type:  […]

Schedule subject to change; check https://ai-math-seminar.github.io/seminar/ for speakers, abstracts, and slides. The seminar explores the fast-growing interface between mathematical reasoning, formal methods, and modern AI systems. It is co-organized by DIMACS and the Mathematics Department at Rutgers University, New Brunswick. Here is the YouTube channel for the talks in this seminar. Date: Oct 7, 2026 […]

This workshop 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 […]

Oct 7 SPECIAL IRON'S LECTURE COLLOQUIUM Listening to the Body: Soft Electronics, Electrophysiology and the Physics of Human–Machine Interfaces Date and Time: Wednesday, October 07, 2026, 03:30pm - Location: Zoom and/or 330W in the Physics and Astronomy Building Speaker: Yael Hanein, Tel Aviv University Abstract: The human body continuously generates electrical signals that reflect neural activity, muscle activation, eye […]

Coding in NVivo allows participants to tag and organize data by theme so patterns can be identified across files. This session covers file classification and attributes as a way to organize files, autocoding as an entry point to qualitative coding, and manual coding. It assumes participants already know how to create a project and bring […]

This workshop reviews statistical tests, regression, sampling and bootstrap methods, and more. The focus here is on implementing statistics using R, with a comparison to Python techniques for accomplishing similar tasks. Part of the Data Topics series of workshops. Workshop conducted via Zoom. Register to receive the Zoom link with instructions on how to connect. […]

Learn how to communicate insights effectively, with the goal of outputting polished visualizations and an annotated chart, through these key topics: Principles of effective visualization Improving poor charts Adding narrative and context Attendees will develop polished visualizations and an annotated chart with insights. (Applied Data Science, Workshop 3) Instructor: Terri-Ann Grant Related LibGuide: Data Science - […]

Schedule subject to change; check https://ai-math-seminar.github.io/seminar/ for speakers, abstracts, and slides. The seminar explores the fast-growing interface between mathematical reasoning, formal methods, and modern AI systems. It is co-organized by DIMACS and the Mathematics Department at Rutgers University, New Brunswick. Here is the YouTube channel for the talks in this seminar. Date: Oct 14, 2026 […]

What do wartime, espionnage, and steganography have in common? Embroidery! Come for a brief history of data visualization in textiles and a hands-on activity in which we will learn to assemble and translate data into stitches. All levels of experience are welcome, including no experience at all. This is a hybrid workshop; materials will be […]

Coding in NVivo allows participants to tag and organize data by theme so patterns can be identified across files. This session covers file classification and attributes as a way to organize files, autocoding as an entry point to qualitative coding, and manual coding. It assumes participants already know how to create a project and bring […]

This workshop covers basic data visualization in R, with emphasis on ggplot2 and associated packages. The focus here is on R techniques, with a brief comparison to Python techniques for accomplishing similar tasks, such as seaborn and matplotlib. Part of the Data Topics series of workshops. Workshop conducted via Zoom. Register to receive the Zoom […]

Learn cartographic principles through these key topics: Design principles in GIS Proximity and accessibility Service coverage analysis Attendees will practice mapping and develop decision-based insights. (GIS & Spatial Analytics, Workshop 3) Instructor: Terri-Ann Grant Related LibGuide: Data Science - Graduate Specialists by Ryan Womack Date:Tuesday, October 20, 2026 Time:4:00pm - 6:00pm Time Zone:Eastern Time - US […]

Schedule subject to change; check https://ai-math-seminar.github.io/seminar/ for speakers, abstracts, and slides. The seminar explores the fast-growing interface between mathematical reasoning, formal methods, and modern AI systems. It is co-organized by DIMACS and the Mathematics Department at Rutgers University, New Brunswick. Here is the YouTube channel for the talks in this seminar. Date: Oct 21, 2026 […]

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 […]

We are pleased to invite you to the 6th Annual Rutgers Robotics Workshop. Event Details Date: Friday, October 23, 2026 Time: 9:00 AM – 3:30 PM Location: Civic Square Building, 33 Livingston Avenue, New Brunswick, NJ Registration: https://forms.gle/YA4JBMj9zvN9xe9a7 The annual Rutgers Robotics Workshop series was initiated as part of the SOCRATES NSF Research Traineeship (NRT) […]

Join us for an introduction to the online data and mapping application, PolicyMap, which provides access to indicators related to U.S. housing, crime, mortgages, health, jobs, demographics, and education. Registration link: https://go.rutgers.edu/PolicyMap Date:Friday, October 23, 2026 Time:11:30am - 12:30pm Time Zone:Eastern Time - US & Canada (change) Division:Camden Event Type:  Workshop  Topics:  Data     Library […]

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 […]

Schedule subject to change; check https://ai-math-seminar.github.io/seminar/ for speakers, abstracts, and slides. The seminar explores the fast-growing interface between mathematical reasoning, formal methods, and modern AI systems. It is co-organized by DIMACS and the Mathematics Department at Rutgers University, New Brunswick. Here is the YouTube channel for the talks in this seminar. Date: Oct 28, 2026 […]

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 […]