Data Mining and Business Intelligence

Course Code: DIGTR 139

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Course Sector:

Digital Transformation and Innovation

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Introduction

Training course introducion / brief

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.

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.

This BOOST training course is designed for professionals handling functions related to analyzation and gathering of data as tools for decision-making and monitoring of performance such as managers, executives, Data Scientists, Data Analysts, Business Analysts, and anyone seeking to widen their understanding of business intelligence and data mining.

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

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

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 certificate of completion

BOOST's Professional Attendance Certificate “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.

ENDORSED EDUCATION PROVIDER

Flexible deadlines

Customized dates accordance to your schedule

Shareable Certificate

Earn certificate upon completion

COURSE METHODOLOGY

Our Training programs are implemented by combining the participants' academic knowledge and practical practice (30% theoretical / 70% practical activities).

At The end of the training program, Participants are involved in practical workshop to show their skills in applying what they were trained for. A detailed report is submitted to each participant and the training department in the organization on the results of the participant's performance and the return on training. Our programs focus on exercises, case studies, and individual and group presentations.

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TRAINING COURSE: Data Mining and Business Intelligence