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. Workshop […]

Data Sources 1 (major data resources, locating data, with focus on diversity and data for minoritized and underrepresented groups) Overview of major data resources, methods of locating data, with focus on diversity and data for minoritized and underrepresented groups Workshop conducted via Zoom.  Register to receive the Zoom link with instructions on how to connect. Supplemental […]

Registration is required. There are 13 seats available. This is an online event. Event URL will be sent via registration email. Click here to register. Data Science Basics: Intro to Python (Without the Scary) Coding doesn’t have to be intimidating. Python is one of the easiest programming languages to learn, and it’s used everywhere, from […]

Registration is required. There are 15 seats available. This is an online event. Event URL will be sent via registration email. Click here to register: https://libcal.rutgers.edu/event/14867197 Data Analysis 2 (statistical tests, regression, sampling, bootstrap, and more + comparison with Python) This workshop reviews statistical tests, regression, sampling and bootstrap methods, and more. The focus here […]

Registration is required. There are 13 seats available. This is an online event. Event URL will be sent via registration email.  Click here to register: https://libcal.rutgers.edu/event/14867415 R Data Wrangling with dplyr, tidyr, readr, and more Some of the tidyverse's most powerful features are its abilities to import, filter, and otherwise manipulate data.  This session reviews major […]

This is an online event. Registration is required. There are 18 seats available. Click here to register Data Science Basics: Python Part 2- From Basics to Data 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. […]

This is an online event. Registration is required.  Click here to register 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. Workshop conducted via […]

This is an online event.  Registration is required.  Click here to register. Data Publication 1 (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 […]

This is an online event. Registration is required. There are 28 seats available.  Click here to register. 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. Workshop conducted via Zoom. Register to receive the Zoom […]

Registration is required. There are 13 seats available. This is an online event. Event URL will be sent via registration email. Click here to register. Data Science Basics: Using AI Tools Effectively Artificial Intelligence is already part of your daily life, from smart assistants to content recommendations, but how can you use it for your […]

Registration is required. There are 24 seats available. This is an online event. Event URL will be sent via registration email. Click here to register. Data Publication 2 (publishing to data repositories and creating R packages) Sharing your data and code is the essential step in maximizing the impact and usefulness of your research. This […]

Registration is required. There are 25 seats available.  This is an online event. Event URL will be sent via registration email. Click here to register. Python for Data Handling: pandas & NumPy This session focuses on using NumPy and pandas to handle and manipulate structured datasets. Participants will learn how to load, clean, and summarize […]