course | Data Mining and Business Intelligence
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DIGTR-533 | Data Mining and Business Intelligence
Course Sector : Digital Transformation and Innovation
| Duration | Date from | Date to | Course Venue | Course fees | Book a course |
|---|---|---|---|---|---|
| 5 Days | 2025-12-14 | 2025-12-18 | El Doha | $4,250 | Book now |
Course Introduction
Companies, businesses and organizations all have establish goals and results they want to reach. Gathering and analyzing data is essential to monitor the performance and determine the actions needed to reach the fullest result. Today, most of the companies across the world are spending millions to master the technique of collecting, comprehending, analyzing and monetizing data through business intelligence. Business intelligence (BI) combines business analytics, data mining, data visualization, data tools and infrastructure, and best practices to help organizations to make more data-driven decisions.
This course is designed to provide participants with the relevant knowledge of the forms and architecture of business intelligence. The course introduces data mining, as it is used to support business intelligence through analyzing vast amounts of data to produce information and recommendations.
Course objective
- Gain a comprehensive understanding of how business intelligence help organizations make operational and strategic decisions.
- Understand the mechanics and architecture behind business intelligence and data mining.
- Use data-based tools to make more accurate and timely decisions
- Identify and utilize data mining techniques for predictive analysis, to assist in making decisions about the present and predicting future events.
- Visualize data using business intelligence and data mining visualization methods and tools.
Course Outline | Day 01
Introduction to Business Intelligence
- Defining Business Intelligence
- The Business Intelligence Process
- Business Intelligence Concept and Platform Capabilities
- Business Performance Management System
- Business Intelligence and Data Mining Applications
Course Outline | Day 02
Working with Data
- Defining Data Mining
- Data Mining Techniques
- Data Warehousing
- Data Mining Tools, Methods and Techniques
- Cleaning and Transforming Data
- Shaping and combining data
- Enhancing the data model
- Custom graphics and charts and maps
Course Outline | Day 03
Data Analysis
- Data Analysis Expression (DAX)
- Factor Analysis
- Analyzing data through power pivot
- Analyzing data with power view and power map
- Cluster Analysis and Multidimensional Scaling
BOOST’s Professional Attendance Certificate “BPAC”
BPAC is always given to the delegates after completing the training course,and depends on their attendance of the program at a rate of no less than 80%,besides their active participation and engagement during the program sessions.
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