Name: Diploma in Business Intelligence and Data Mining at QLS Level 4
Price: 30.00 GBP

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Diploma in Business Intelligence and Data Mining at QLS Level 4

Unleash your potential in the Diploma in Business Intelligence and Data Mining at QLS Level 4 industry. Develop job-ready competencies for a high-demand career with this Diploma in Business Intelligence and Data Mining at QLS Level 4 Course.

The Diploma in Business Intelligence and Data Mining at QLS Level 4 career may be the road for you if you’ve always wanted a gratifying profession. Diploma in Business Intelligence and Data Mining at QLS Level 4 skills have become more essential than ever as the Diploma in Business Intelligence and Data Mining at QLS Level 4 industry continues to create revolutionary services and products. If you’re a problem-solver who enjoys winning, Diploma in Business Intelligence and Data Mining at QLS Level 4 career will be both rewarding and profitable.

Even if you’re seeking to change careers, Diploma in Business Intelligence and Data Mining at QLS Level 4 will be a rewarding career choice. Expertise in Diploma in Business Intelligence and Data Mining at QLS Level 4 also means flourishing in a rising, competitive, and data-driven work environment.

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 —

You will gain a well-rounded grasp of all core aspects of the Diploma in Business Intelligence and Data Mining at QLS Level 4 sector during this Diploma in Business Intelligence and Data Mining at QLS Level 4 course, which will help you prepare for your dream Diploma in Business Intelligence and Data Mining at QLS Level 4 role. Develop a good balance of conceptual expertise, as well as Diploma in Business Intelligence and Data Mining at QLS Level 4 skills that are in great demand by employers.

Course Curriculum

Business Intelligence and 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
Assignment
	Assignment -Business Intelligence and Data Mining	00:00:00