'Data Analysis And Visualization With R' Course


Next course will be held in September 2017. Four short workshops on Advanced Topics in R will be held on 11-13 April 2017 (more information coming soon).

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.

The course covers

  • basics of R (data entry, manipulation, tabulation)
  • visualisation (basic and advanced graphing, including producing high quality graphs for publication)
  • statistical analyses (basic statistics, linear models, multi- variate analyses)
  • and project management (organization, principles of reproducible research). 

The course will consist of short lectures interspersed with many hands-on exercises.

The exercises will be set up with different levels: more advanced students can work on more difficult problems. After time for exercise, solutions to all levels are presented by the teachers.

We assume that you have completed some introductory statistics course at university level, but no previous programming experience is required.


  • Dr. Remko Duursma
  • Dr. Jeff Powell
  • Dr. Glenn Stone (SCEM)

Class Resources:

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 (1) (Optional)


Basics of R (2) & Generating and reading data



Special data types


Visualizing data



Basic statistics & External resources


Summarizing and tabulating data



Linear modelling


Multivariate statistics & Mixed-effects models



Programming : functions, lists and loops


Choice of topics

Next course will be held in September 2017. Four short workshops on Advanced Topics in R will be held on 11-13 April 2017 (more information coming soon).

Course Costs


Event Contact

For all inquiries please contact Assoc Prof Jeff Powell by email
on jeff.powell@westernsydney.edu.au.

Event Details


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


Monday 12th September to Friday 16th September 2016


9:30 - 16:30 (lunch break 12:30-13:30; lunch not provided)


Enrolment Fee includes learning materials and Wi-Fi access.

Enrolment Fee excludes meals, accommodation, hotel transfers and travel.

Cost is To Be Advised.

Entry is at no cost for Western Sydney University staff and students.

Accommodation Options:

We recommend these local accommodation options:

Sebel 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