SigmaWay's RapidMiner and Data Analytics Course

This module focuses on introducing you to theoretical concepts of Fraud Analytics using Decision Tree Analysis, including the following sub-topics:-

• What is a Fraud

• What is Decision Tree Analysis

• An Example of Decision Tree Analysis

• What is Entropy

• What is Information gain

• What is Gain Ratio

This lecture module will focus on giving you a summary of the case example we have used to run Fraud Analytics using Decision Tree Analysis in Rapidminer

This lecture module will focus on teaching you how to import data into RapidMiner and run the Fraud Analytics using Decision Tree Analysis process in Rapidminer

This module focuses on introducing you to theoretical concepts of Twitter Sentiment Analysis, including the following sub-topics:-

• What is Sentiment Analysis

• What is an Opinion

• Role of Twitter Sentiment Analysis

This lecture module will focus on teaching you how to import data into RapidMiner from Twitter and run the Sentiment Analysis process in Rapidminer

This lecture module will focus on giving you a comprehensive overview of and teaching you the theoretical concepts of Text Mining and include the following topics.

• What is Text Mining

• Motivation for Text Mining

• Structured v/s Unstructured Data

• Unstructured Data

• Types of Text Mining

• List of Text Mining Software

Note: Please use Head-Phones for optimum viewing experience.

This lecture module will focus on giving you a summary of the case example we have used to run Text Mining in Rapidminer

Note: Please use Head-Phones for optimum viewing experience.

This lecture module will focus on teaching you how to import data into RapidMiner and run the Text Mining process in Rapidminer.

Note: Please use Head-Phones for optimum viewing experience.

This module focuses on introducing you to theoretical concepts of web mining, including the following sub-topics:-

Web Mining Introduction

Classification of Web Data

Types of Web Mining

• Web Content Mining

• Web Usage Mining

• Web Structure Mining

Techniques for types of Web Mining

This lecture module will focus on giving you a summary of the case example we have used to run Web Mining in Rapidminer

This lecture module will focus on teaching you how to import data into RapidMiner and run the Web Mining process in Rapidminer.

This module focuses on introducing you to theoretical concepts of Predictive Analytics while focusing on Insurance and how predictive analysis players a part in Automobile Insurance.

We will including the following sub-topics:-

• Introduction to Insurance

• Predictive Analysis in Insurance

• Predictive Analysis in Private Passenger Automobile Insurance

• Linear Regression

• Polynomial Regression

This lecture module will focus on giving you a summary of the case example we have used to run Predictive Analysis in Rapidminer

This lecture module will focus on teaching you how to import data into RapidMiner and run the Predictive Analysis process in Rapidminer

This module focuses on introducing you to theoretical concepts of Product Propensity Analysis, including the following sub-topics:-

• What is Product Propensity?

• Why do we need a predictive model for product propensity?

• What kind of model should we be building?

This lecture module will focus on giving you a summary of the case example we have used to run Product Propensity Analysis in Rapidminer

This lecture module will focus on teaching you how to import data into RapidMiner and run the Product Propensity Analysis process in Rapidminer

This module focuses on introducing you to theoretical concepts of Factor Analysis using PCA, including the following sub-topics:-

• What is Factor Analysis

• Types of Factor Analysis

• 5 steps of Factor Analysis

• Real-World Applications of Factor Analysis

• Types of Factor Models

This lecture module will focus on giving you a summary of the case example we have used to run Factor Analysis using PCA in Rapidminer

This lecture module will focus on teaching you how to import data into RapidMiner and run the Factor Analysis using PCA process in Rapidminer