Advanced R statistics courses

Intersect Australia is hosting two advanced R Statistics courses in April.

As these courses are likely to be popular, Intersect asks interested researchers to join a waitlist, and tickets will be allocated with a view to maintaining fairness across its membership.

R211: Traversing t tests in R

R has become a popular programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework.

The primary goal of this workshop is to familiarise you with basic statistical concepts in R from reading in and manipulating data, checking assumptions, statistical tests and visualisations. This is not an advanced statistics course, but is instead designed to gently introduce you to statistical comparisons and hypothesis testing in R.

See learning outcomes and register

When: Wednesday March 30, 1.30pm-4:30pm (AEDT)
Where: Online via Zoom
Cost: Free, but places are limited and registration is essential
Prerequisites: This course assumes familiarity with R and RStudio. You should have a good understanding of R syntax and basic programming concepts. Please consider attending Intersect’s following courses to get up to speed:

• Learn to Program: R
• Data Manipulation and Visualisation in R

R212: Exploring ANOVAs in R

R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework.

This half-day course covers one and two-way Analyses of Variance (ANOVA) and their non-parametric counterparts in R. To better understand the tests, assumptions and associated concepts, we will be using a dataset containing the Mathematics scores of secondary students. This dataset also includes information regarding their mother’s and father’s jobs and education levels, the number of hours dedicated to study, and time spent commuting to and from school. Lifestyle information about alcohol consumption habits, whether the students have quality relationships with their families and whether they have free time after school is included in this dataset.

See learning outcomes and register

When: Tuesday April 5, 9.30am–12.30pm (AEST)
Where: Online via Zoom
Cost: Free, but places are limited and registration is essential
Prerequisites: This course assumes an intermediate level of programming proficiency, plus familiarity with the syntax and functions of the dplyr and ggplot2 packages. Experience navigating the RStudio integrated development environment (IDE) is also required.

If you’re new to programming in R, we strongly recommend you register for the Learn to Program: R, Data Manipulation in R, and Data Visualisation in R workshops first.

Please see Intersect’s training schedule to find the next upcoming courses.

Please contact Aidan Wilson if you have further queries about the courses.