Business Intelligence and Data Mining

Overview

In the realm of modern business operations, data has become the lifeblood for decision-making and strategic planning. The course “Business Intelligence and Data Mining” delves into the foundational principles and advanced techniques of extracting actionable insights from data. Participants will explore methodologies for collecting, analyzing, and interpreting data to drive business growth and innovation. From understanding key performance indicators to implementing data mining algorithms, this course equips learners with the skills to harness the power of data for informed decision-making and competitive advantage in today’s dynamic market landscape.

Learning Outcomes

Master the fundamentals of business intelligence and data mining techniques.
Analyze data to uncover trends, patterns, and correlations.
Implement data visualization techniques for effective communication.
Utilize predictive analytics to forecast business outcomes.

What Will Make You Stand Out?

On Completion of this online course, you’ll acquire:

CPD QS Accredited Course.
Upon Course Completion, Earn a Complimentary PDF and a hard copy Certificate to Showcase Your Enhanced Skills.
Lifetime access.
24x7 Tutor Support.
Complete the course at your own pace.

Description

The “Business Intelligence and Data Mining” course is designed to empower learners with the essential knowledge and practical skills needed to navigate the complexities of data-driven decision-making in business contexts. Through a blend of theoretical concepts and hands-on exercises, participants will learn to leverage various tools and technologies to extract, transform, and load data for analysis. The course covers topics such as data warehousing, data modeling, and machine learning algorithms. By the end of the course, participants will be proficient in using data mining techniques to derive insights that inform strategic business decisions and drive organizational success.

Who is this course for?

This course is ideal for business professionals, analysts, managers, and entrepreneurs who seek to enhance their ability to harness data for strategic advantage. It is also suitable for students and individuals looking to enter or advance in fields related to business intelligence, analytics, and data-driven decision-making.

Requirements

Participants should have a basic understanding of business concepts and familiarity with using computers for data analysis. No prior knowledge of programming is required, although a willingness to learn and apply analytical techniques is beneficial.

Certification

Upon successful completion of the Business Intelligence and Data Mining course, learners can obtain both a PDF certificate and a Hard copy certificate for completely FREE. The Hard copy certificate is available for a nominal fee of £3.99, which covers the delivery charge within the United Kingdom. Additional delivery charges may apply for orders outside the United Kingdom.

Career Path

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

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