Gain introductory experience with data analysis in a variety of new software environments, particularly SPSS, R, and REDCap, paired with discussions of statistical analysis and data science best practices.

This workshop series is offered in the Fall and Spring semesters.

Instructors:

• Thilani Samarakoon, PhD, Biomedical Data Librarian
• Cameron Riopelle, PhD, Director of Research Data & Open Scholarship
• Kelsa Bartley, MSI, Education and Outreach Librarian

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

SPRING 2024

Multiple Online Workshops Available.

Introduction to R

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.

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.

Introduction to REDCap

REDCap (Research Electronic Data Capture) is a Web-based application that allows you to quickly build and manage databases and online surveys. This workshop will show you how to: build case report forms to enter data extracted from any source; automatically check for errors to guard against bad data; 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.

Introduction to Meta-Analysis

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.

Introduction to GraphPad Prism

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.

Introduction to Tableau

Tableau is a data visualization software that allows transforming data into plots and tables. Here you will learn about the Tableau workspace consisting of menus, toolbars, and the data pane. In addition, the workshop covers topics on connecting to the data, building data visualizations and dashboards, and sharing them. Previous experience with Tableau is not necessary.

Introduction to SPSS

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.

Introduction to EndNote

Learn about the EndNote citation management tool, to help you collect, organize, store, share, screen, and format citations in reference lists for assignments and publications.