Think you can code?
A free, online event that brings students, faculty, and community members together.
These courses do not replace formal education in biostatistics. Attendees are invited to sign up for one or all of the events. You will need to sign in to a Zoom account to access sessions. All participants will be entered into a raffle for a tech prize.
REDCap: Project Lifecycle
A walkthrough of the milestones in a project's lifecycle, highlighting key features and considerations. Learn about the Research Electronic Data Capture (REDCap) application for participant management and study design. In this session, we will discuss the different phases of a project: Development, Production, Analysis/Cleanup, and Completion.Advanced Data Management in R-Tidyverse
Learn how to use R to prepare data for analysis. We will cover data import and data cleaning using tidyverse. Prior experience with R is not required.Advanced Reporting in R
Learn how to create reproducible tables and create a dynamic report using R. We will cover how to create different tables in R and how to use R Markdown to create a comprehensive data report. Example code will be provided after the session.Advanced Data Visualization in R
We will expand on the plots presented in previous data visualization seminars. We will cover how to create data visualizations and how to combine multiple plots into one figure using ggplot2. Prior experience using R and watching the previous data visualization videos are recommended. Example code will be provided after the session.AI Concepts and Best Practices
The lecture will describe pre- and post-training of LLM models with examples from open-source pre-trained models. Instructors will introduce current best practices in working with AI-based tools.Creating Maps in R
This course will cover introductory mapping in R from start to finish, showing the open-source software approach to generating customized, data-driven spatial graphics.Advanced Data Management in SAS
Learn how to create flexible and dynamic SAS programs using SAS Macros. We will cover the difference between a macro variable and macro program and introduce when you would use them and how to code. Prior experience using SAS is recommended. Example code will be provided after the session.How to Create an Analyzable REDCap DB
We will provide tips on how to create a stats-friendly database. We will discuss how to set up a complex database (i.e. longitudinal databases). Additionally, we will give best practices for variable naming conventions and format consistency to improve any project.
