Events

  • Registration is required, click here to register. Click here for more information. Inviting all faculty and students, bring your laptop and questions for our hands-on workshop meant to introduce you to how Amazon AI can help you in your work! This workshop is designed for builders ready to create Agentic Workflows on AWS. Agentic Workflows […]

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    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 […]

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    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 […]

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    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 […]

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    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 […]

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    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 […]

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