UWA PLUS

Data Analysis with R for Agriculture and Environmental Science

The micro-credential introduces students to data analysis and report preparation using R and R studio at a workplace standard. Examples are used from environmental and agricultural science and economics. Students learn appropriate analyses and statistical techniques for different data, and basic programming in R. You will also experience the advanced analytical and graphical capabilities of R.

Delivery mode
Online
Availability
2024 availability will be updated soon
Duration
12 weeks
Effort
150 hours
Cost
$900 (plus GST)
Critical information summary
SCIEM504 Data Analysis with R for Agriculture and Environmental Science (PDF 101KB)
Keyboard 

What you'll learn

Recognise the appropriate statistical technique for different types of data.

Perform common statistical tests and interpret results.

Use the advanced graphics capacity of R.

Basic programming to automate repetitive data management and analysis tasks.

Keyboard 

Why study this course?

  • Undertake statistical analysis of agricultural and environmental data using R at a standard consistent with modern workplaces.
  • Recognise the appropriate statistical technique for different types of data, perform common statistical tests, and interpret results.
  • Use the advanced graphics capacity of R and basic programming concepts to automate repetitive data management and analysis tasks and generate reproducible reports.

Who should study this course

Anyone wanting to transition from using proprietory software to the R open source environment.

People interested in using R to statistically analyse agricultural and environmental data, and write reports.

Prospective students in Master of Agricultural Economics, Master of Agricultural Science, Master of Biotechnology and Master of Environmental Science.

How does it work?

Throughout the course students complete exercises using R and report their findings using online software. The final task in the course is to prepare a written report, integrating text, statistical output, and graphics.

What's next after this course?

Future study
Students who complete this micro-credential can apply for advanced standing if they subsequently apply for a Master of Agricultural Economics, Master of Agricultural Science, Master of Biotechnology or Master of Environmental Science.
Career outcomes
Positions requiring statistical analysis and reporting of agricultural and environmental data.

Register

Registrations will open in March.

 

Frequently asked questions

Who you'll learn from

James Fogarty

Associate Professor James Fogarty

Associate Professor James Fogarty’s research focuses on helping the water industry make better decisions by working on approaches that allow the environmental and amenity benefits of urban water projects to be incorporated into project evaluations.