EncartaLabs

Data Mining with Rattle

( Duration: 3 Days )

R continues to be the platform of choice for the data scientist. Rattle is an open source GUI for data mining and is used widely for Machine Learning and Data Mining by Data Scientists. Rattle allows for a easy point an click interface which provides easy access to build analytical models and draw useful inferences from them. In Data Mining with Rattle training course delegates will discover the basic concepts of data mining and machine learning and carry out predictive modeling in R.

By attending Data Mining with Rattle workshop, delegates will learn:

  • Data mining using Rattle
  • Data analytics using Rattle
  • Classification using Rattle
  • Regression using Rattle
  • Clustering using Rattle

  • R Programming
  • Data Scientists
  • Data Analysts
  • Finance Analysts
  • Marketers

COURSE AGENDA

1

Basics of Rattle

  • Install Rattle package
  • Rattle GUI interface
  • Pre-processing data in Rattle
  • Partition and classify variables
  • Tansforming data
2

Basic Statistics

  • Descriptive statistics
  • Graphs
  • Hypothesis testing
  • Ranking
3

Data Mining

  • Association rules
  • K means Clustering
  • Heirachical Clustering
4

Classification

  • Support Vector Machine
  • Neural Network
  • Decision Tree
  • Random Forest
5

Predictive Analytics

  • Linear Regression
  • Multiple Regression
  • Logistic Regression
  • tTme Series Regression

Encarta Labs Advantage

  • One Stop Corporate Training Solution Providers for over 4,000 Modules on a variety of subjects
  • All courses are delivered by Industry Veterans
  • Get jumpstarted from newbie to production ready in a matter of few days
  • Trained more than 50,000 Corporate executives across the Globe
  • All our trainings are conducted in workshop mode with more focus on hands-on sessions

View our other course offerings by visiting http://encartalabs.com/course-catalogue-all.php

Contact us for delivering this course as a public/open-house workshop/online training for a group of 10+ candidates.

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