'Data Analysis And Visualization With R' Course
Next offerings: 14-18 September 2020 (registration to open 6-8 weeks prior).
If you are interested in attending this introductory workshop or any of the advanced topic workshops, please express your interest here to receive advanced notice of offerings..
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.
Outline
Monday | AM | Basics of R (Chapter 1 & 2) |
PM | Special Data Types (Chapter 3) | |
Tuesday | AM | Visualizing Data – Part 1 (Chapter 4) |
PM | Basic Statistics (Chapter 5) | |
Wednesday | AM | Summarizing and Tabulating Data (Chapter 6) |
PM | Linear Modelling (Chapter 7) | |
Thursday | AM | Functions, Lists and Loops (Chapter 8) |
PM | Visualizing Data – Part 2 (handout and web resource) | |
Friday | AM | Project Management and Workflow (Chapter 9), Extra Topics |
PM | Time to work on own data, or self-study of a variety of additional topics. |
Instructor
- Professor Jeff Powell
Class Resources:
The following resources are available for this course:
Event Contact
For all inquiries please contact Prof Jeff Powell on jeff.powell@westernsydney.edu.au.
Course Presenters
Event Details
Delivery - Online
To be confirmed directly with registrants
Times:
9.30am - 4.30pm
Costs
All pricing includes GST. WSU staff and students will need to provide a valid staff/student number.
WSU HDR students - $100
WSU staff - $150
External academic (HDR students) - $500
External academic (non-HDR) - $750
Corporate - $1500
