Dear all,
We are thrilled to inform you that registrations are now open for our upcoming online course, Introduction to the Analysis of Longitudinal Data in Biology Using R, taking place from November 25th to 28th. This course is a unique opportunity to master the complexities of analysing longitudinal data—data that are repeated over time or space—in the context of biological research.
Why This Course?
Longitudinal data present unique challenges and opportunities. Whether you're dealing with time-series data, survival analysis, or gene-expression experiments, this course will equip you with the tools and knowledge to tackle these challenges effectively. You’ll learn to recognise and manage spatial and temporal dependencies, apply forecasting techniques, and explore applications to specific scientific domains where longitudinal data are common: forecasting, epidemiology, gene expression.
Course website: https://www.physalia-courses.org/courses-workshops/longitudinal-data-in-r/
Course Format:
- Daily Modules: Each day includes a blend of interactive lectures, class discussions, and hands-on practical sessions.
- Collaborative Exercises: Work alongside peers and instructors to apply what you've learned in real-time.
- Interactive Discussions: Interpret and discuss results with the class and instructors after each exercise.
- Final Quiz: Recap and reinforce key concepts with a collaborative quiz at the end of the course.
Who Should Attend?
This course is ideal for students, researchers, and professionals in biology who want to deepen their understanding of longitudinal data analysis. Whether you're an absolute beginner or an advanced user, this course is designed to meet you at your level. A background in biology and experience with predictive experiments will be beneficial, though not required. Basic knowledge of R programming is advantageous but not essential—we'll guide you through it!
What You Will Learn:
- how to recognise and treat spatial and temporal dependencies in the data
- the most common methods to analyse data with repeated records
- methods and principles of data forecasting
- specific applications to life-science domains like epidemiology and gene expression experiments
- how to design, analyse and interpret scientific experiments with a time component
For the full list of our courses and workshops, please visit: https://www.physalia-courses.org/courses-workshops/
