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Diploma in Business Intelligence and Data Mining with Free Certificate

Free QLS Certificate | Diploma in Business Intelligence and Data Mining at QLS Level 5 | CPD Accredited | Affordable Pricing | 24/7 Tutor Support | Instant Access
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Overview

This programme introduces structured analytics, decision frameworks, dashboard logic, KPI design, warehouse architecture, and predictive discovery across sectors. Therefore, learners explore how information supports strategy, improves reporting clarity, and drives evidence-based outcomes. Moreover, the syllabus connects visual reporting, database models, and Data Mining training workflows to organisational needs, ensuring analytical thinking aligns with business goals while supporting informed choices across multiple operational stages.

Course Description

Numbers tell stories, yet only insight shapes direction. Therefore, this Business Intelligence Course transforms raw figures into decision-ready intelligence through dashboards, scorecards, and structured KPIs. Moreover, visual storytelling, chart selection, and balanced scorecard logic are explored, ensuring clarity replaces confusion while reporting supports leadership priorities.

However, insight depends on foundations. Consequently, data warehouse concepts, processing stages, architectural tiers, and core components are addressed alongside database modelling approaches. Furthermore, learners see how structured storage enables accurate analysis, consistency, and scalability across departments while supporting enterprise-wide reporting strategies.

Finally, prediction sharpens advantage. Thus, Data Mining training introduces classification, clustering, and association analysis, followed by sector-focused applications across banking, CRM, and other industries. Moreover, this Business Intelligence Course links analytical methods with real organisational scenarios, ensuring information becomes a strategic asset rather than static records.

Note: Skill-up is a Janets-approved resale partner for Quality Licence Scheme Endorsed courses.

Key Benefits

Learning Outcome

Who Is This Course For?

Career Path

Frequently Asked Questions

It covers dashboards, KPIs, data warehouses, decision systems, and Data Mining training techniques used across industries.

Yes, Data Mining training topics include classification, clustering, association rules, and sector-based applications.

Graduates, analysts, managers, and career switchers seeking analytical decision-focused roles benefit most.

Therefore, analytical responsibility expansion often leads to higher salary brackets and leadership opportunities.

Moreover, it supports prediction, segmentation, and relationship analysis for improved strategic planning.

Curriculum

  • play Module 01: What is Business Intelligence?
    play 00:05:00
  • play Module 02: Starting Case in understanding BI needs in diff phase of business
    play 00:07:00
  • play Module 03: Decision Making Process and Need of IT systems
    play 00:20:00
  • play Module 04: Problem Structure and Decision Support System
    play 00:11:00
  • play Module 05: Introduction to BI Applications
    play 00:18:00
  • play Module 06: Dashboard presentation systems
    play 00:07:00
  • play Module 07: Different Types of Charts used in 131 Dashboards
    play 00:30:00
  • play Module 08: Good Dashboard and BSC
    play 00:13:00
  • play Module 09: Examples of Bad Dashboards 1
    play 00:07:00
  • play Module 10: Examples of Bad Dashboards 2
    play 00:01:00
  • play Module 11: Process of KPI Development
    play 00:26:00
  • play Module 12: Overview of Data warehouse
    play 00:08:00
  • play Module 13: More explaining of data warehouse and steps in processing
    play 00:09:00
  • play Module 14: Data Warehouse Architecture –Tiers
    play 00:18:00
  • play Module 15: Data Warehouse – components
    play 00:15:00
  • play Module 16: Approach to develop data structure and Models of database
    play 00:16:00
  • play Module 17: Basics of Data Mining – Meaning
    play 00:35:00
  • play Module 18: Basics of Data Mining – Stages of DM
    play 00:25:00
  • play Module 19: Data Mining Technique – Classification
    play 00:07:00
  • play Module 20: Data mining – Clustering
    play 00:02:00
  • play Module 21: Data Mining – Association Rules
    play 00:05:00
  • play Module 22: Data Mining Applications – Banking
    play 00:03:00
  • play Module 23: Data Mining Applications – CRM
    play 00:04:00
  • play Module 24: Data Mining Applications – other industries
    play 00:04:00
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