Booking options
£25
£25
On-Demand course
4 hours 56 minutes
All levels
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.
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
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.
No formal qualifications required, anyone from any academic background can take this course.
Access to a computer or digital device with internet connectivity.
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 |
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