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Today's date is Friday, June 23, 2017
School of Computer Science and Software Engineering
 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 http://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 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

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