Business Intelligence | Basics of Data & Data Mining

Course Highlights

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step training course. This Business Intelligence | Basics of Data & Data Mining has been specially designed to help learners gain a good command of Business Intelligence, providing them with a solid foundation of knowledge to become a qualified professional.

Through this Business Intelligence | Basics of Data & Data Mining, you will gain both practical and theoretical understanding of Business Intelligence that will increase your employability in this field, help you stand out from the competition and boost your earning potential in no time.

Not only that, but this training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry. This qualification is fully accredited, broken down into several manageable modules, ideal for aspiring professionals.

Learning outcome

Familiar yourself with the recent development and updates of the relevant industry
Know how to use your theoretical knowledge to adapt in any working environment
Get help from our expert tutors anytime you need
Access to course contents that are designed and prepared by industry professionals
Study at your convenient time and from wherever you want

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Why should I take this course?

Affordable premium-quality E-learning content, you can learn at your own pace.
You will receive a completion certificate upon completing the course.
Internationally recognized Accredited Qualification will boost up your resume.
You will learn the researched and proven approach adopted by successful people to transform their careers.
You will be able to incorporate various techniques successfully and understand your customers better.

Requirements

Course Curriculum

Business Intelligence | Basics of Data & Data Mining

Module 01: What is Business Intelligence?

00:05:00
Module 02: Starting Case in understanding BI needs in diff phase of business

00:07:00
Module 03: Decision Making Process and Need of IT systems

00:20:00
Module 04: Problem Structure and Decision Support System

00:11:00
Module 05: Introduction to BI Applications

00:18:00
Module 06: Dashboard presentation systems

00:07:00
Module 07: Different Types of Charts used in 131 Dashboards

00:30:00
Module 08: Good Dashboard and BSC

00:13:00
Module 09: Examples of Bad Dashboards 1

00:07:00
Module 10: Examples of Bad Dashboards 2

00:01:00
Module 11: Process of KPI Development

00:26:00
Module 12: Overview of Data warehouse

00:08:00
Module 13: More explaining of data warehouse and steps in processing

00:09:00
Module 14: Data Warehouse Architecture –Tiers

00:18:00
Module 15: Data Warehouse – components

00:15:00
Module 16: Approach to develop data structure and Models of database

00:16:00
Module 17: Basics of Data Mining – Meaning

00:35:00
Module 18: Basics of Data Mining – Stages of DM

00:25:00
Module 19: Data Mining Technique – Classification

00:07:00
Module 20: Data mining – Clustering

00:02:00
Module 21: Data Mining – Association Rules

00:05:00
Module 22: Data Mining Applications – Banking

00:03:00
Module 23: Data Mining Applications – CRM

00:04:00
Module 24: Data Mining Applications – other industries

00:04:00