Struggling to get messy longitudinal data into shape? This hands-on course teaches the key concepts and practical tools you need to prepare panel data in R so you can move from raw files to analysis as efficiently as possible.
What you’ll learn
In this course, you will learn how to:
- Understand core longitudinal concepts and designs
- Select cases and variables for longitudinal analysis
- Recode variables and work with factor variables
- Merge data across waves and levels
- Reshape data between long and wide formats
- Build clean, reproducible preparation workflows in R
What’s included
- Short videos explaining each step
- Quizzes to check understanding
- Hands-on practicals using real panel data
- Solution files and video walk-throughs
- Forum access to ask questions and get help
Who this is for
- PhD students and early-career researchers
- Applied researchers working with panel or repeated-measures data
- Anyone moving from cross-sectional to longitudinal data
Pre-register
Interested in this course?
Pre-register to be notified when it launches and help shape the final content.
You’ll also get early access and a launch discount.