'Data Analysis And Visualization With R' Course
Next offerings: 27 April-1 May 2020 (this class is now full) and 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
- Assoc Prof Jeff Powell
Class Resources:
The following resources are available for this course:
Event Contact
For all inquiries please contact Assoc Prof Jeff Powell on jeff.powell@westernsydney.edu.au.
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
Event Details
Venue
Hawkesbury Institute for the Environment
Western Sydney University
College Drive
Richmond NSW 2754
Times:
9.30am - 4.30pm
Accommodation Options:
We recommend these local accommodation options:
Crowne Plaza Hawkesbury (opens in a new window) - approx. 10 minutes by car to campus or 20 minutes by train (station is around 10 minutes' walk from hotel)
New Inn Motel (opens in a new window) - approx. 10 minutes' drive or 25 minutes' walk to campus. The University Shuttle Bus routes are nearby - track the shuttle bus locations online. (opens in a new window)
Stay On Campus (opens in a new window) - Short Stays may be available through Western Sydney University Village.
Course Presenters
