Data Mining with R Rattle

SkillsFuture Credit Approved Course

Introduction

R is a popular language of choice for Data Scientists around the world. R is often used with Rattle, an open source GUI for data mining and is used widely for Machine Learning and Data Mining.

Rattle provides an easy-to-use interface for building analytical models and drawing useful inferences. Students will learn basic concepts of data mining, machine learning and carry out predictive modelling with R Rattle.

Course Content

  1. Introduction to Rattle
  • Installing Rattl
  • The Rattle GUI
  • Pre-processing data in Rattle
  • Partition and classify variables
  • Transforming data
  1. Basic Statistics
  • Descriptive statistics
  • Graphs
  • Hypothesis testing
  • Ranking
  1. Data Mining
  • Association rules
  • K-means Clustering
  • Hierarchical Clustering
  1. Classification
  • Support Vector Machine
  • Neural Network
  • Decision Tree
  • Random Forest
  1. Predictive Analytics
  • Linear Regression
  • Multiple Regression
  • Logistic Regression
  • Time Series Regression