Business Intelligence and Data Mining Masterclass

Description

This comprehensive course on Business Intelligence and Data Mining Masterclass will deepen your understanding on this topic.

After successful completion of this course you can acquire the required skills in this sector. This Business Intelligence and Data Mining Masterclass comes with accredited certification, which will enhance your CV and make you worthy in the job market.

So enrol in this course today to fast track your career ladder.

You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate.

There is no experience or previous qualifications required for enrolment on this Business Intelligence and Data Mining Masterclass. It is available to all students, of all academic backgrounds.

Our Business Intelligence and Data Mining Masterclass is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G.

There is no time limit for completing this course, it can be studied in your own time at your own pace.

Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc.

1 sections • 24 lectures • 04:56:00 total length

•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