'Data Analysis And Visualization With R' Course


  • 30 April - Advanced topics in R: An introduction to multivariate statistics - Register
  • 1 May - Advanced topics in R: Working in the Tidyverse - Register
  • 2 May - Advanced topics in R: An introduction to linear mixed-effects models in R - Register

For those of you interested in the introductory, week-long workshop, we anticipate that this will be offered the week of 16 September 2019. Registrations will open six-to-eight weeks before the workshop, but please express your interest here; this will not reserve a spot for you, it is only possible to reserve a spot once registration opens. You can also register your interest for other workshops on advanced topics.

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.




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.


  • 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.


All pricing includes GST. WSU staff and students will need to provide a valid staff/student number.

WSU HDR students - $20

WSU staff - $30

External academic (HDR students) - $100

External academic (non-HDR) - $150

Corporate - $300

Event Details


Hawkesbury Institute for the Environment
Western Sydney University
College Drive
Richmond NSW 2754


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

Eucalyptus Leaf