Amarel monthly maintenance
2025-05-20 08:00 - 2025-05-21 23:59, 2025-06-17 08:00 - 2025-06-18 23:59, 2025-07-15 08:00 - 2025-07-16 23:59, 2025-08-19 08:00 - 2025-08-20 23:59, 2025-09-16 08:00 - 2025-09-17 23:59, 2025-10-21 08:00 - 2025-10-22 23:59 (America/New_York)
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 own maintenance work (e.g., by working in parallel or postponing some tasks).

Visit Amarel system status for more information

Data Analysis 2 (statistical tests, sampling, bootstrap, and more + comparison with Python)
2025-09-17 15:30 - 17:00
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.
Supplemental materials are available.

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Introduction to GIS with ArcGIS Online
2025-09-24 11:30 - 12:45
A Geographic Information System (GIS) can be a very useful tool for your research by incorporating location when exploring your questions. In this short, interactive workshop, we will cover basic GIS concepts using ArcGIS Online. We’ll explore the interface, add and visualize data, run a quick analysis, and create and share a map.
Make sure to register for an ArcGIS Online account before the start of the workshop

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R graphics with ggplot2
2025-09-24 15:30 - 17:00, 2025-10-21 14:00 - 15:30
The ggplot2 package from the tidyverse provides extensive and flexible graphical capabilities within a consistent framework. This session introduces the main features of ggplot2. Some prior familiarity with R is assumed (packages, structure, syntax), but the presentation can be followed without this background.
Supplemental materials are available.

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Introduction to GIS with ArcGIS Online
2025-09-30 13:00 - 14:15
A Geographic Information System (GIS) can be a very useful tool for your research by incorporating location when exploring your questions.
In this short, interactive workshop, we will cover basic GIS concepts using ArcGIS Online. We’ll explore the interface, add and visualize data, run a quick analysis, and create and share a map.
*Make sure to register for an ArcGIS Online account before the start of the workshop

Learn more and register

Data Visualization 2 (interactive visualizations with Shiny, including hosting a Shiny server)
2025-10-01 15:30 - 17:00
Creating interactive visualizations with Shiny in RStudio, and delivering Shiny visualizations on the web and hosting a Shiny server.
Supplemental materials are available.

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ArcGIS StoryMaps, WebApps and Dashboards
2025-10-07 11:30 - 13:00
Most people can relate to and understand “where” when sharing information. In this short, interactive workshop, we will explore telling the story of your research using StoryMaps or another of the web applications that integrate work done in ArcGIS Online. Previous knowledge of geographic information systems (GIS) is not required.
*Make sure to register for an ArcGIS Online account before the start of the workshop.

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R for data analysis: A tidyverse approach
2025-10-07 14:00 - 15:30
This session introduces the R statistical software environment, basic methods of data analysis, and the “tidyverse.” While R is much more than the tidyverse, the development of the tidyverse packages, led by RStudio, has provided a powerful and connected toolkit to get started using R. Note that graphics and data manipulation are covered in subsequent sessions.
Supplemental materials are available.

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Data science basics: introduction to Python (without the scary)
2025-10-13 12:00 - 13:00
Coding doesn’t have to be intimidating. Python is one of the easiest programming languages to learn, and it’s used everywhere, from apps to automation to data analysis. In this workshop, we’ll start with the basics, step by step, and show you how Python can be applied to everyday problems in a way that’s simple and practical. By the end, you’ll not only run your first Python code but also understand how learning this language can open new opportunities in study, work, and beyond.

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Data Analysis 2 (statistical tests, regression, sampling, bootstrap, and more + comparison with Python)
2025-10-14 14:00 - 15:30

ArcGIS StoryMaps, WebApps and Dashboards
2025-10-15 11:30 - 12:45
Most people can relate to and understand “where” when sharing information. In this short, interactive workshop, we will explore telling the story of your research using StoryMaps or another of the web applications that integrate work done in ArcGIS Online. Previous knowledge of geographic information systems (GIS) is not required.
Make sure to register for an ArcGIS Online account before the start of the workshop.

Learn more and register

R Data Wrangling with dplyr, tidyr, readr, and more
2025-10-15 15:30 - 17:00
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.

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Data science basics: introduction to Python 2 - from basics to data
2025-10-20 12:00 - 13:00
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 see how coding can become a useful everyday tool, not just something for computer scientists.

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Introduction to ArcGIS Pro
2025-10-22 12:00 - 13:15
A Geographic Information System, also known as GIS, can be a very useful tool for your research by incorporating location when exploring your questions.
In this short, interactive workshop, we will focus on ArcGIS Pro basics, explore the interface, add and visualize data, create a map layout which we can either export as a PDF or share as a web map. Previous knowledge of geographic information systems (GIS) is not expected.
* Make sure to register for an ArcGIS Online account before the start of the workshop.
* Please also download the ArcGIS Pro application. This requires a Microsoft Windows operating system. Details and information for installing the application may be found at the University Software Portal.
The application is also available through the Rutgers Virtual Computer Labs. An ArcGIS Online account is needed to log into ArcPro.

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Data Publication 1
2025-10-22 15:30 - 17:00
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 blogdown and bookdown allow the easy creation of formatted documents in both web-compatible and print formats. This session introduces these concepts and other packages and practices supporting reproducibility with the R environment.
Supplemental materials are available.

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Python foundations
2025-10-24 14:30 - 16:00
This workshop introduces the core concepts of Python programming, including syntax, data types, loops, and functions. Participants will gain confidence in writing simple scripts and working with Python’s basic structures.

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Data science basics: using AI tools effectively
2025-10-27 12:00 - 13:00
Artificial Intelligence is already part of your daily life, from smart assistants to content recommendations, but how can you use it for your own benefit? This beginner-friendly workshop explores free, web-based AI tools that help with writing, design, productivity, and more. You’ll experiment with different tools in real time and discover how AI can save time, spark ideas, and make your work easier. No prior knowledge or installations are required, just curiosity and an open mind.

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Introduction to QGIS
2025-10-28 11:30 - 12:45
A Geographic Information System, also known as a GIS, can be a very useful tool for your research by incorporating location when exploring questions.
In this short, interactive workshop, we will focus on the open-source geographic information system: QGIS3. We will explore the interface, add and visualize data, create a map layout, explore plugins and support. Previous knowledge of GIS is not expected.
Please make sure to download QGIS.

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Data Visualization 2 (interactive visualizations with Shiny, including hosting a Shiny server)
2025-10-28 14:00 - 15:30
Creating interactive visualizations with Shiny in RStudio and delivering Shiny visualizations on the web and hosting a Shiny server.
Supplemental materials are available.

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Data Publication 2 (publishing to data repositories and creating R packages)
2025-10-29 15:30 - 17:00
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 data and code. Following on the release of the 2nd edition of Hadley Wickham’s R Packages book, this workshop reviews the package creation process, covering prerequisites, the steps involved in creating a complete package, and following up on documentation and testing.
Supplemental materials are available.

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Python for data handling: pandas & NumPy
2025-10-31 14:30 - 16:00
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.

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Data science basics: visual insights with Power BI
2025-11-03 12:00 - 13:00
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 to make sense of personal data, this workshop will give you the ability to communicate with impact.

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Incorporating AI in research, literature review, and classroom assignments
2025-11-07 14:00 - 15:00
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 how to cross-examine information with library resources, and how to ethically use these resources for their course assignments.

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Python for visualization: matplotlib & seaborn
2025-11-07 14:30 - 16:00
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.

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