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Today's date is Sunday, November 01, 2020
Centre for Applied Statistics
 February 2017
Tuesday 21
9:00 - COURSE - Statistics Short Course: Vector Generalized Linear and Additive Models : Vector Generalized Linear and Additive Models Course presented by Dr. Thomas Yee Website | More Information
The Vector Generalized Linear and Additive Models short course will be presented by Dr. Thomas Yee on 21-22 February 2017. Those attending the two-day course will receive a hard copy of Dr. Yee’s book "Vector Generalized Linear and Additive Models: With an Implementation in R”.

Thomas W. Yee is a Senior Lecturer in the Department of Statistics at the University of Auckland, New Zealand. The author of over 30 articles published in statistical and other scientific journals, his work usually has a methodological focus and has direct applications in the fields of biostatistics and ecology. He is the author of the VGAM R package, one of the largest by a single author.

Registrations and furthermore information can be found at https://www.cas.maths.uwa.edu.au/courses/vector-generalized-linear-and-additive-models. Please note that the early bird discount closes on 22 January 2017.

If you have any questions or queries, please don't hesitate to contact the Centre for Applied Statistics at [email protected]

 May 2017
Monday 01
18:00 - COURSE - R Basics Evening Course : This practical course introduces you to R More Information
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, but have a basic understanding of statistics. Those without this knowledge are encouraged to attend the Introductory Statistics course first. More details at https://www.cas.maths.uwa.edu.au/courses/r-basics-evening-course
Tuesday 09
9:00 - EVENT - Statistics Short Course: Spatial Point Patterns : Analysis of spatial data using R and spatstat Website | More Information
Spatial point pattern datasets are becoming common across many fields of research. However, statistical methodology for analysing these data has not been easily accessible. This course is a practical introduction to the analysis of spatial point patterns with a strong focus on hands-on exercises throughout the course.

The course gives an in-depth introduction to spatstat, an R package for analysing spatial point patterns. The package supports a complete statistical analysis of spatial point pattern data: data input and inspection, calculations, plotting, exploratory data analysis, hypothesis tests, model-fitting, simulation, Monte Carlo methods and model diagnostics.

 June 2017
Tuesday 27
9:00 - EVENT - Introductory Statistics Website | More Information
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 SPSS will be used to illustrate the ideas demonstrated. The course will be held in a computer laboratory allowing participants to immediately apply the material covered through a series of practical examples.

 July 2017
Tuesday 04
9:00 - EVENT - R Basics Website | More Information
R is a free and extremely powerful language and software environment for statistical computing, data analysis, and graphics. The course is designed for those who have no experience with R, but have a basic understanding of statistics. Those without this experience are encouraged to attend the Introductory Statistics course first.
Tuesday 11
9:00 - EVENT - ANOVA, Linear regression and Logistic regression Website | More Information
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 with 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.
Tuesday 18
9:00 - COURSE - Data Visualisation : Understanding how to display data Website | More Information
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 plot 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

-An introduction to ggplot2

 April 2018
Monday 30
18:00 - EVENT - R Basics Evening Course Website | More Information
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, but have a basic understanding of statistics.

 June 2018
Tuesday 26
9:00 - COURSE - Introductory statistics - June 2018 Website | More Information
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 SPSS will be used to illustrate the ideas demonstrated. The course will be held in a computer laboratory allowing participants to immediately apply the material covered through a series of practical examples.

 July 2018
Tuesday 03
9:00 - COURSE - R Basics Website | More Information
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 no experience with R, but have a basic understanding of statistics.
Tuesday 10
9:00 - COURSE - ANOVA, linear and logistic regression Website | More Information
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 with 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.
Tuesday 17
9:00 - COURSE - Data Visualisation Short Course More Information
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.

More information at: https://www.cas.maths.uwa.edu.au/courses/data-visualisation

 November 2018
Tuesday 20
9:00 - EVENT - Introductory Statistics More Information
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 SPSS will be used to illustrate the ideas demonstrated. The course will be held in a computer laboratory allowing participants to immediately apply the material covered through a series of practical examples.

Enroll at: https://www.cas.maths.uwa.edu.au/courses/intro-stats/
Tuesday 27
9:00 - EVENT - R Basics More Information
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 no experience with R, but have a basic understanding of statistics. Those without this knowledge are encouraged to attend the Introductory Statistics course first.

Enroll at: https://www.cas.maths.uwa.edu.au/courses/rbasics

 December 2018
Monday 03
8:00 - SYMPOSIUM - AMSI BioInfoSummer Symposium Website | More Information
Held over 5 days, AMSI BioInfoSummer is a key training event in Australia, that allows attendees to develop their bioinformatics skills, national networks and employability, and nurtures the collaborations between the mathematics, statistics and information technology disciplines. AMSI BioInfoSummer brings together Australian and international researchers from the mathematical, statistical and biological sciences to develop further applications of mathematics and statistics to bioinformatics and introduce students and early career researchers to state-of-the-art bioinformatics research. AMSI BioInfoSummer is funded jointly by the Department of Education and Traning and the Australian Mathematical Sciences Institute (AMSI). In 2018, AMSI BioInfoSummer will be hosted by the University of Western Australia in partnership with Murdoch University and Edith Cowan University.

This is the first time AMSI BioInfoSummer will be held in WA so we would appreciate your support in promoting this event. We are expecting 150 -200 attendees to the 2018 symposium.

 June 2020
Monday 15
8:30 - COURSE - Data Visualisation Short Course : Short Course - UWA Centre for Applied Statistics Website | More Information
A one day course offering an introduction to presenting data. All welcome as there is no presumed knowledge.
Tuesday 16
8:30 - COURSE - Introduction to R Short Course : Short Course - UWA Centre for Applied Statistics Website | More Information
A one day course offering an introduction to R using the tidyverse, for those with no or little experience using this free and popular statistical software.
Wednesday 17
8:30 - COURSE - Statistics In R Short Course : Short Course - UWA Centre for Applied Statistics Website | More Information
A one day course offering an introduction to using R for basic statistical analysis. Assumes a little knowledge of R (An Introduction to R or equivalent) and basic statistical knowledge.
Monday 22
8:30 - COURSE - Introductory Statistics with Applications in R Short Course : Short Course - UWA Centre for Applied Statistics Website | More Information
A three day course introducing the basics of statistics, useful as an introduction or refresher

8:30 - COURSE - Introductory Statistics with Applications in R Short Course : Short Course - UWA Centre for Applied Statistics Website | More Information
A three day course introducing the basics of statistics, useful as an introduction or refresher

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