This is a proposed course that is designed for those looking for an introduction to clustering with applications in R. Please 'Enrol Now' as an expression of interest.

Workshop Description

The course will introduce the basics of clustering. Topics covered are likely to include:

• k-means clustering
• Hierarchical clustering
• Principal component analysis
• Multidimensional scaling

Prerequisites

Participants are recommended to have the following prerequisites:

• Basic familiarity with R
• Basic familiarity with statistical concepts
• Each participant must bring their own laptop with R and RStudio installed. One week before the course commences we will send you instructions on how to install R and any associated packages required for the course. If you do not have access to a laptop please contact us as we may be able to provide one for you.

Costs

• $210 (GST exclusive) for students
• $350 (GST exclusive) for all other enrolments (note: UWA staff are eligible for a 20% discount of this amount when paying directly from a PG via electronic transfer)

Enrolment

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The course is designed for people with knowledge of basic statistics and linear regression models who want to learn more about the analysis of complex correlated data using a linear mixed model approach.

Please 'Enrol Now' as an expression of interest.

Workshop Description

This course covers techniques that can be used to analyse longitudinal (or repeated measures) data, spatial data, clustered data and data from complex experimental designs. The courses focuses on recognising data with these structures and identifying appropriate models to fit to the data.

Some basic familiarity with R and linear regression is assumed (either taking ANOVA and Linear Regression in R or similar level of understanding)

Outline

• Day 1: Random and fixed effects, two and three level models for clustered data
• Day 2: Models for repeated measures/longitudinal data, models for clustered longitudinal data

Cost

• $390 (exclusive GST) for students
• $650 (exclusive GST) for all other enrolments (note: UWA staff are eligible for a 20% discount of this amount when paying directly from a PG via electronic transfer)

Enrolment

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The course is designed for people with knowledge of basic statistics and linear regression models who want to learn more about regression models for other types of data in the framework of generalised linear models.

Please 'Enrol Now' as an expression of interest.

Workshop Description

This course covers techniques that can be used to analyse data with categorical/count response variables, and continuous and/or categorical explanatory variables. The course will begin with an overview of the generalised linear model framework then proceed to approaches that can be used to address the analysis of binary, count, or ordinal variables.

Some basic familiarity with R and linear regression is assumed (either taking ANOVA and linear regression or similar level of understanding)

Outline

• Day 1: Generalised linear model background and logistic regression, odds and risk ratios.
• Day 2: Poisson regression (log-linear model, contingency tables), beta regression, ordinal logistic regression.

Cost

• $390 (exclusive GST) for students
• $650 (exclusive GST) for all other enrolments (note: UWA staff are eligible for a 20% discount of this amount when paying directly from a PG via electronic transfer)

Enrolment

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This course covers the basics of data visualisation and would be particularly useful for those wishing to learn the basics of statistical data visualisation.

Workshop Description

Workshop attendees will learn about simple statistical graphics and understand which charts are useful for which types of data. Participants will be guided through plots of a single variable though to several variables and learn how best to compare different types of data.

Outline

This course will cover topics such as:

• Presenting data for a single variable: Including an introduction to histograms, box plots, and bar graphs
• Visualisation of two or more variables: Including an introduction to scatterplots, pairs plots, parallel coordinate plots and variable-width stack bar charts
• Other plots and maps: Including a brief introduction to plots for time series, bubble plots and more
• Data Ink: Essential parts of a graphic, Tufte's Data-Ink ratio and how to increase it
• Colour and perception: Colour palettes, preattentive features

The course assumes no prior specific knowledge; some experience working with data is sufficient. The course will provide a framework for understanding and presenting data.

Costs

• $70 for those enrolled in a postgraduate research course (i.e. a Masters or PhD course eligible for Research Training Program funding) at UWA (GST inclusive)
• $290 for all other enrolments (GST inclusive)
• Note: UWA staff, and students who are not eligible for the reduced rate, are eligible for a 20% discount when paying directly from a PG via electronic transfer.

Enrolment

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This practical course introduces you to R using the tidyverse.

Workshop Description

R is a free and extremely powerful language and software environment for statistical computing, data analysis, and graphics. This course is designed for those who have little to no experience with R. The course uses the tidyverse to introduce importing, manipulating and visualising data.

Outline

• Introduction to R and RStudio: Installing R, RStudion and the tidyverse library
• Importing data: Importing the data and checking the quality
• Data manipulation: Basic data cleaning
• Data summaries: An introduction to creating summaries of the data
• Data visualisation: An introduction to creating visualisations using ggplot
• R markdown: The basics of creating reproducible reports in HTML

The course will involve practical examples that participants can work through. Each participant must bring their own laptop with R and RStudio installed. One week before the course commences we will send you instructions on how to install R and any associated packages required for the course. If you do not have access to a laptop please contact us as we may be able to provide one for you.

Costs

• $210 (exclusive GST) for students
• $350 (exclusive GST) for all other enrolments (note: UWA staff are eligible for a 20% discount of this amount when paying directly from a PG via electronic transfer)

Enrolment

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This practical course covers the basics of carrying out applied statistics using R.

Workshop Description

R is a free and extremely powerful language and software environment for statistical computing, data analysis and graphics. This course is designed for those who have a little experience in R (our one-day course An Introduction to R or equivalent) and basic statistical knowledge. The course covers the implementation of basic statistical techniques in R.

Outline

• T-tests: one and two sample t-tests
• One-way ANOVA
• Chi-squared tests
• Linear regression: Simple linear regression and multiple regression with interaction

The course will involve practical examples that participants can work through. Each participant must bring their own laptop with R and R studio installed. One week before the course we will send you instructions on how to install R and any associated packages required for the course. If you do not have access to a laptop please contact us as we may be able to provide one for you.

Costs

• $210 (exclusive GST) for students
• $350 (exclusive GST) for all other enrolments (note: UWA staff are eligible for a 20% discount of this amount when paying directly from a PG via electronic transfer)

Enrolment

Enrol now

The course is open to anyone and is designed for people with little or no knowledge of statistics who want to develop an understanding of basic statistics.

Workshop Description

The aim of this course is to introduce you to basic statistics. It will cover descriptive statistics (means and standard deviations); data exploration; basic categorical data analysis; simple linear regression and basic analysis of variance (ANOVA). The statistical package R will be used to illustrate the ideas demonstrated. Participants will bring their own laptops allowing them to immediately apply the material covered through a series of practical examples.

Outline

• Day 1: Introduction to data explorationand inference; introduction to comparison of means (T tests); sampling distributions
• Day 2: Simple linear regression; one-way ANOVA; analysis of proportions and odds; contingency tables

Cost

• $390 (exclusive GST) for students
• $650 (exclusive GST) for all other enrolments (note: UWA staff are eligible for a 20% discount of this amount when paying directly from a PG via electronic transfer)

Enrolment

Enrol now

The course is designed for people with knowledge of basic statistics who want to learn more about regression and analysis of variance (ANOVA). Please 'Enrol Now' as an expression of interest.

Workshop Description

This course covers techniques that can be used to analyse data with continuous and categorical variables. The course will begin with simple linear regression and then proceed to approaches that can be used with more than two variables such as multiple regression. ANOVA with interactions and blocking will also be covered. The course will end with techniques that address the analysis of binary or ordinal variables.

Some basic familiarity with R is assumed (either taking An Introduction to R or Introductory Statistics in R or similar level of understanding)

Outline

• Day 1: Simple linear regression, multiple regression, polynomial regression, regression model diagnostics, model selection.
• Day 2: One way ANOVA, blocking, simple interactions, more complex interactions, analysis of covariance, ANOVA model diagnostics.

Cost

• $390 (exclusive GST) for students
• $650 (exclusive GST) for all other enrolments (note: UWA staff are eligible for a 20% discount of this amount when paying directly from a PG via electronic transfer)

Enrolment

Enrol now