Short Course at University of Canberra

RSVP: http://www.meetup.com/CanberraDataSci/events/234168862/

Course Outline

It will cover four topics below in two sessions. Each session will be of 1.5 hours, composed of presentations on two topics, followed by a lab for students to do exercises.

• • Basics of R Programming

  • Data Exploration and Visualisation with R

  • Regression and Classification with R

  • Association Rule Mining with R

  • Twitter Data Analysis with R -- Text Mining and Social Network Analysis

Prerequisites

1. Software and Datasets

You will need to bring your own laptop for the lab. Please install the required software and packages and download datasets and slides before you come to the course.

• R

• RStudio

  • R packages (please run the R script to install required R packages)

  • Datasets

    • Titanic dataset

  • Twitter Dataset

  • Slides

    • Basics of R Programming

  • Data Exploration and Visualisation with R

  • Regression and Classification with R

  • Association Rule Mining with R

  • Twitter Data Analysis with R -- Text Mining and Social Network Analysis

2. Knowledge of Data Mining

You are expected to have basic understanding of data mining techniques below.

• Regression

• Decision trees

• Association rules

• Text mining