Fall 2026

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If you would like to schedule an individual or a group training or have any questions regarding the workshop series, please contact the Biomedical Data Librarian at thilani.samarakoon@miami.edu

Getting Started with R for Data Analysis

R is an open-source software environment for statistical computing and graphics. This workshop is designed to introduce R, RStudio, and R Markdown. You will learn to install R packages and utilize their functionalities for exploratory data analysis (EDA). It covers basic data types, importing data, cleaning and plotting data, and analyzing relationships between variables. Previous experience with R is not necessary. The .R file is the script file and can be opened in RStudio or a notepad. (download course files)

Data Visualization with R

This workshop will focus on creating visualizations using R packages like ggplot2. This covers basic plots and best practices in data visualization. Some experience with R is preferred. (download course files)

Introduction to REDCap and its Data Management Capabilities

REDCap (Research Electronic Data Capture) is a Web-based application that allows you to quickly build and manage databases and online surveys. The first half of the workshop will show you how to: build forms to enter data extracted from any source; use it as a survey platform; produce online summary statistics and graphics; make analyzable, anonymized datasets; export data to Excel and major statistical packages like R, SAS, SPSS, STATA, and other basic concepts. The second part of this workshop will share best practices for research data management within the REDCap application. Building upon concepts from the first half of the workshop, the second half will provide guidance on using REDCap’s tools and applications to: protect sensitive data; appropriately name variables; assess data quality; and prepare data to be shared. (download course files)

Systematic Reviews and Meta-Analysis: An Introduction

This workshop aims to give you a basic understanding of the steps of conducting a meta-analysis. Meta-analysis is a statistical technique for combining data from multiple studies on a particular topic to produce an overall statistic. Meta-analysis is an intensive research process involving several critical steps from the literature search, data extraction to statistical analysis. This workshop will help you understand the meta-analysis process and help you plan to conduct one. (download course files)

Introduction to GraphPad Prism

GraphPad Prism is available via UMIT. This workshop is designed to introduce you to GraphPad Prism software. Prism is a statistical software that follows a drop-down menu-based interface to conduct data analysis. This workshop will cover topics on navigating the menu, importing data, selecting data tables, creating graphs, and data analysis. (download course files)

SPSS Basics for Research and Data Analysis

The SPSS software is available for download via UMIT. This workshop is designed for new SPSS users. It provides an introduction to the SPSS software program, including its software environment, importing data, descriptive statistics, transforming variables, selecting and splitting data, and visualization. The folder also contains the data files (.sav) mentioned in the tutorial. (download course files)

AI Tools for Data Analysis and Visualization

This workshop introduces participants to three powerful AI tools Copilot, Ninja AI, and Julius AI and demonstrates how they can enhance research productivity. Attendees will learn how these tools can summarize data sets, support coding summarization tasks, and generate effective visualizations. Through practical examples, participants will gain an understanding of when and how to use each tool effectively, as well as best practices for responsible AI use.

Additional Resources

Data and Visualization Services Department offers additional workshops and training resources. Please check out the complete list here.