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Diploma in Business Intelligence and Data Mining at QLS Level 4

Business
4 students
(0 Rating)

About This Course

The Diploma in Business Intelligence and Data Mining at QLS Level 4 provides essential knowledge of data analysis, business intelligence systems, and data mining techniques used to extract valuable insights from large datasets. It introduces learners to how organisations collect, process, and analyse data to support decision-making, improve performance, and identify business opportunities. The course is designed to strengthen analytical thinking and foundational data skills for modern business environments.

The programme covers key areas such as data mining techniques, data visualisation, business intelligence tools, data collection methods, and reporting systems. It also explores pattern recognition, predictive analysis, database fundamentals, and how data-driven insights are used to improve business strategy and operational efficiency. Learners gain understanding of how data supports informed decision-making in organisations.

By completing this training, learners develop strong analytical, technical, and interpretation skills. It improves confidence in handling data sets and strengthens understanding of business intelligence systems. The course prepares individuals for entry-level roles in data analysis, reporting, and business intelligence support.

Imperial Academy offers you the benefit of —

Diploma in Business Intelligence and Data Mining at QLS Level 4 course assists you in becoming job-ready, whether you’re trying to start a new career or improve your existing one. You can learn at your own schedule, whenever and wherever suits you best. You will discover all the expertise you’ll need to thrive in an ever-changing Diploma in Business Intelligence and Data Mining at QLS Level 4 sector with this online Diploma in Business Intelligence and Data Mining at QLS Level 4 course.

The Quality Licence Scheme has endorsed this course for its high-quality, non-regulated provision and training programmes. This course is not regulated by Ofqual and is not an accredited qualification. Imperial Academy will be able to advise you on any further recognition, for example, progression routes into further and/or higher education.

Imperial Academy is an approved reselling partner for Quality Licence Scheme courses under One Education.

Upon successful completion of the Diploma in Business Intelligence and Data Mining at QLS Level 4 course, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of  —

After successfully completing the assessment of this Diploma in Business Intelligence and Data Mining at QLS Level 4 course, you will also qualify for the CPD Certificate from Imperial Academy, as proof of your continued development. Certification is available in PDF format, at the cost of £9, or a hard copy can be sent to you via post, at the cost of £15. International students will have to pay an extra £10 as postal fees.

The Diploma in Business Intelligence and Data Mining at QLS Level 4 course has been endorsed under the Quality Licence Scheme.  This means that One Education has undergone an external quality check to ensure that the organisation and the courses it offers meet defined quality criteria. The completion of this Diploma in Business Intelligence and Data Mining at QLS Level 4 course alone does not lead to a regulated qualification but may be used as evidence of knowledge and skills gained. The Learner Unit Summary may be used as evidence towards Recognition of Prior Learning if you wish to progress your studies in this subject. To this end the learning outcomes of the Diploma in Business Intelligence and Data Mining at QLS Level 4 course have been benchmarked at Level 4 against level descriptors published by Ofqual, to indicate the depth of study and level of demand/complexity involved in successful completion by the learner. 

The Diploma in Business Intelligence and Data Mining at QLS Level 4 course itself has been designed by One Education to meet specific learners’ and/or employers’ requirements which cannot be satisfied through current regulated qualifications.

The Quality Licence Scheme endorsement involves robust and rigorous quality audits by external auditors to ensure quality is continually met.  A review of courses is carried out as part of the endorsement process.

No formal entry requirements! No prerequisites or relevant experience is required!

This course is accessible to anyone with an eagerness to learn. All you require is —

Course Curriculum

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