Do you want to take your data analysis skills to the next level?
The R statistical computing environment has become a standard for scientific data analysis, visualization and reproducible research.
At the HIE, we offer an introductory course to help you climb the steep learning curve.
This five-day course is aimed at postgraduate students and staff, and is for newcomers to R, as well as intermediate users.
The course covers
- Basics of R (data entry, manipulation, tabulation, special data types)
- Visualisation (basic and advanced plotting of data)
- Statistical analyses (basic statistics, linear models)
- Project management (workflow and organization, principles of reproducible research).
The course will consist of short lectures with ample time for hands-on exercises.
The exercises are set up with different levels: more advanced students can work on more difficult problems.
We assume that you have completed some introductory statistics course at university level, but no previous programming experience is required.
- WSU HDR students - $100
- WSU staff - $150
- External academic (HDR students) - $500
- External academic (non-HDR) - $750
- Corporate - $1,500
- Dr. Remko Duursma
- Dr. Jeff Powell
The following resources are available for this course:
Table of contents
Below is a summary of the contents of the course. Subject to change without notice.
Basics of R (Chapter 1 & 2)
Special Data Types (Chapter 3)
Visualizing Data – Part 1 (Chapter 4)
Basic Statistics (Chapter 5)
Summarizing and Tabulating Data (Chapter 6)
Linear Modelling (Chapter 7)
Functions, Lists and Loops (Chapter 8)
Visualizing Data – Part 2 (handout and web resource)
Project Management and Workflow (Chapter 9), Extra Topics
Time to work on own data, or self-study of a variety of additional topics.