This workshop will build literacy and basic proficiency in statistical programming, with a focus on the skills needed to conduct data analyses in professional healthcare and public health workspaces. We will cover the basics of data management, data cleaning, data visualization, and basic statistical calculations in R, and version control in github. Participants will leave with a small portfolio of relevant data visualizations and analyses completed using a real‐world public health dataset.
This workshop is part of the 2024 Georgetown University Health Diplomacy Training Institute led by the Center for Health Science and Security.
No prior programming experience is necessary for this course, though to follow along with course materials, participants will require access to a fully charged laptop or computer. There are no required course materials or textbooks, though optional readings and additional resources will be provided as part of each day of the course.
If you have questions, feel free to reach out at sde31@georgetown.edu. Office hours are immediately after class.
- Introductions, logistics, and what to expect
- Download R and RStudio
- What is statistical programming, and why should I care?
- Getting acquainted with R Studio
- R Basics
- Version control with GitHub
- Overview of data management
- Loading dataset(s) in R
- Data types and structures in R
- Basics of data cleaning
- Documenting your data, code, and results
- What is exploratory data analysis (EDA)?
- Calculate basic descriptive statistics in R
- Explore different strategies for data visualization
- Build your first data visualizations in R
- Learn a step-by-step process for creating great data visualizations
- Design some fun and beautiful data visualizations
- Get creative and explore some new skills in R
- Hands-on work designing your own data visualization
- Create a GitHub repository to showcase your work
- Where and how to learn more