COURSE DESCRIPTION The course also covers Linear, Multiple Regression. Classification methods, Logistic Regression, Linear and Quadratic Discriminant Analysis, ...

Module 1: Nature of data, statistical modeling and visualization · Module 2: Data Mining techniques · Module 3: Advanced data mining techniques · Module 4: ...

The student will define the importance of business intelligence by: a. describing key business intelligence terms. b. determining the relevance of data to ...

Introduction to BI, BI concepts, and methods; Nature and representation of data; Building data warehouses; Data marts; OLAP; Concepts in data analysis, ...

After learning the course the students should be able to: 1. Students will be able to use mining tool. 2. Students are able to perform various data warehouse ...

Course Contents and session plan. Session Topics. 1. Introduction – Course, Faculty, Students, Business Intelligence & Data Mining. 2. Statistical Discussion ...

This course will teach the fundamental concepts of business intelligence and several data mining software tools (SAS Enterprise Miner and SAS Visual Analytics)

First part of the course classifies the types of enterprise information systems. These types of information systems provide solid foundation for building ...

Objective: To impart knowledge on use of data mining techniques for deriving business intelligence to achieve organizational goals.

This course introduces basic data mining technologies and their use for business intelligence. Students will learn how to analyze the business needs for ...