Welcome to the course!
Welcome to the 2021 Cognitive Neuroscience / Psychology Data Science Summer Course at the University of South Australia’s Cognitive and Systems Neuroscience Research Hub (CSN-RH)! See below for information on the structure of the course and key course materials.
For source files, see the course github repository. Session recordings are available to course participants; please see the course Slack workspace for the link.
For any questions, please contact Prof. Ina Bornkessel-Schlesewsky.
Unit 1: Welcome
Slides:
Exercises:
Readings:
- R for Data Science chapters 3 (data visualisation) and 5 (data transformation)
Further resources:
Unit 2: Digging deeper
Slides:
Exercises:
Readings:
- R for Data Science chapters 11 (Data import) and 12 (Tidy data)
Additional materials:
- Basic information about joining dataframes: 02d_joins.Rmd
- See also R for Data Science chapter 13 (Relational data)
Unit 3: Open Science
Slides:
Readings:
- R for Data Science chapters 27 (R Markdown) (also see subsequent chapters) and 8 (Workflow: projects)
Unit 4: Your own project
Create your own data exploration project using the skills you have learned throughout the course. Use RMarkdown to produce a reproducible report.
For further details, see the course recordings.
Unit 5: Where to go from here
See course recordings for details. Further resources:
- Work through the remaining chapters of R for Data Science at your own pace to deepen and extend your knowledge.
- For information regarding version control using git / github, see:
Acknowledgements
- This page was built using a prettydoc template for RMarkdown
- Slides were created using xaringan
- The course materials draw, in part, on the fabulous resources Data Science in a Box and R for Data Science