In today’s data-driven world, organizations rely on accurate insights to make smarter
and faster decisions. Business Intelligence (BI) plays a critical role in transforming
raw data into meaningful information that helps businesses understand performance,
identify opportunities, and plan effective strategies.
This course is designed to introduce learners to the essential concepts, tools, and
techniques of Business Intelligence. Participants will learn how to collect, analyze,
and visualize data to support business decision-making. Through practical exercises and
real-world examples, learners will gain hands-on experience in building dashboards and
analytical reports using industry tools such as Microsoft Power BI and Tableau.
With the right Business Intelligence strategy, organizations can improve efficiency,
enhance customer experiences, and stay competitive in an increasingly data-driven
marketplace. Business Intelligence is not just about analyzing data—it’s about
transforming information into actionable knowledge that drives sustainable business
success.
By the end of this course, participants will have the knowledge and practical skills
needed to transform data into valuable insights and contribute effectively to
data-driven organizations.
The objectives of this course are designed to provide learners with a clear
understanding of how Business Intelligence helps organizations make informed decisions.
This section outlines the key skills and knowledge participants will gain throughout the
program.
- Understand the fundamental concepts of Business Intelligence and data analytics.
- Learn how to collect, organize, and analyze data from multiple sources.
- Develop the ability to transform raw data into meaningful insights.
- Build interactive dashboards and reports using tools such as Microsoft Power BI.
- Support business decision-making through data-driven analysis.
This section explains who can enroll in the course and the basic background knowledge
that participants should have before starting the program.
The requierments
- University students interested in data analysis or business technology.
- Business professionals who want to improve their data analysis skills.
- Managers and decision-makers who want to understand business data better.
- IT professionals looking to expand their knowledge in Business Intelligence.
- Basic computer knowledge and familiarity with tools such as Microsoft Excel is
recommended but not mandatory.
Course Content
📚 8 Modules • 🎬 40 Lessons • ⏱ 6h 35m
Module 1: Introduction to Business Intelligence
(5 Lessons - 45 min)
This module introduces the fundamental concepts of Business Intelligence
and explains how organizations use data to support strategic
decision-making.
What's included
🎬 3 Videos • 📚 2 reading
-
▶
Lesson 1
🎬 1.1 What is Business Intelligence
(10 min)
-
▶
Lesson 2
🎬 1.2 Evolution of BI
(9 min)
-
▶
Lesson 3
🎬 1.3 Role of Data in Business
(8 min)
-
▶
Lesson 4
📚 1.4 Components of a BI System
(10 min)
-
▶
Lesson 5
📚 1.5 BI Architecture Overview
(8 min)
Module 2: Data Sources and Data Collection
(5 Lessons - 40 min)
In this module, learners explore different types of
data sources and understand how organizations collect and manage business
data.
What's included
🎬 2 Videos • 📚 3 reading
-
▶
Lesson 1
🎬 2.1 Types of Business Data
(10 min)
-
▶
Lesson 2
🎬 2.2 Internal vs External Data Sources
(8 min)
-
▶
Lesson 3
📚 2.3 Data Collection Methods
(4 min)
-
▶
Lesson 4
📚 2.4 Introduction to Databases
(10 min)
-
▶
Lesson 5
📚 2.5 Data Quality and Data Preparation
(8 min)
Module 3: Data Warehousing Fundamentals
(5 Lessons - 40 min)
This module focuses on how data warehouses
are designed and used to support Business Intelligence systems.
What's included
🎬 4 videos • 📚 1 readings
-
▶
Lesson 1
📚 3.1 Introduction to Data Warehousing
(10 min)
-
▶
Lesson 2
🎬 3.2 Data Warehouse Architecture
(8 min)
-
▶
Lesson 3
🎬 3.3 Data Modeling Concepts
(4 min)
-
▶
Lesson 4
🎬 3.4 ETL Process (Extract, Transform, Load)
(10 min)
-
▶
Lesson 5
🎬 3.5 Data Integration Techniques
(8 min)
Module 4: Data Analysis for Business Intelligence
(5 Lessons - 40 min)
Participants will learn how to analyze business data to uncover trends,
patterns, and meaningful insights.
What's included
🎬 3 Videos 📚 5 readings
-
▶
Lesson 1
📚 4.1 Introduction to Data Analysis
(10 min)
-
▶
Lesson 2
📚 4.2 Data Exploration Techniques
(8 min)
-
▶
Lesson 3
🎬 4.3 Identifying Business Trends
(4 min)
-
▶
Lesson 4
🎬 4.4 Key Performance Indicators (KPIs)
(10 min)
-
▶
Lesson 5
🎬 4.5 Data Interpretation for Decision Making
(8 min)
Module 5: Data Visualization and Dashboards
(5 Lessons - 40 min)
This module teaches learners how to transform
complex data into clear visual insights using modern BI visualization tools.
What's included
🎬 5 Videos
-
▶
Lesson 1
🎬 5.1 Principles of Data Visualization
(10 min)
-
▶
Lesson 2
🎬 5.2 Designing Effective Charts and Graphs
(8 min)
-
▶
Lesson 3
🎬 5.3 Building Interactive Dashboards
(4 min)
-
▶
Lesson 4
🎬 5.4 Dashboard Design Best Practices
(10 min)
-
▶
Lesson 5
🎬 5.5 BI Tools using as Microsoft Power BI
(8 min)
Module 6: Business Reporting and Performance Monitoring
(5 Lessons - 40 min)
Students learn how organizations use reports and
dashboards to monitor performance and evaluate business success.
What's included
🎬 3 Videos • 📚 2 reading
-
▶
Lesson 1
🎬 6.1 Business Reporting Fundamentals
(10 min)
-
▶
Lesson 2
🎬 6.2 Types of Business Reports
(8 min)
-
▶
Lesson 3
🎬 6.3 KPI Monitoring and Performance Metrics
(4 min)
-
▶
Lesson 4
📚 6.4 Automated Reporting Systems
(10 min)
-
▶
Lesson 5
📚 6.5 Dashboard Reporting Strategies
(8 min)
Module 7: Introduction to Predictive Analytics
(5 Lessons - 40 min)
This module introduces predictive analytics concepts and
how data can be used to forecast future business outcomes.
What's included
🎬 2 Videos • 📚 3 reading
-
▶
Lesson 1
🎬 7.1 Predictive Analytics Concepts
(10 min)
-
▶
Lesson 2
🎬 7.2 Forecasting Methods
(8 min)
-
▶
Lesson 3
📚 7.3 Introduction to Business Forecasting
(4 min)
-
▶
Lesson 4
📚 7.4 Predictive Models in Business
(10 min)
-
▶
Lesson 5
📚 7.5 Future Trends in Business Intelligence
(8 min)
Module 8: Business Intelligence Project
(5 Lessons - 40 min)
In the final module, participants apply their
knowledge by completing a practical Business Intelligence project.
What's included
🎬 5 Videos
-
▶
Lesson 1
🎬 8.1 BI Project Planning
(10 min)
-
▶
Lesson 2
🎬 8.2 Data Collection and Preparation
(8 min)
-
▶
Lesson 3
🎬 8.3 Data Analysis and Visualization
(4 min)
-
▶
Lesson 4
🎬 8.4 Dashboard Development
(10 min)
-
▶
Lesson 5
🎬 8.5 Project Presentation and Evaluation
(8 min)
By the end of this course, participants will gain practical knowledge and essential
skills in Business Intelligence that enable them to analyze data effectively and support
strategic decision-making within organizations.
Learning Outcomes:
Understand the core concepts and architecture of Business Intelligence systems.Collect,
clean, and organize data from multiple business sources.
Analyze datasets to identify trends, patterns, and key business insights.Design and
build interactive dashboards and reports using tools such as Microsoft Power BI.
Apply data visualization techniques to communicate insights clearly to
stakeholders.Develop data-driven decision-making skills for business environments.
This course is designed for beginners and requires only basic computer skills and a general understanding of business concepts.
Familiarity with simple data handling tools such as Excel is helpful but not mandatory. No prior experience in Business Intelligence is required,
making it suitable for anyone interested in learning how to use data for better decision-making
Prerequisites:
1- Basic Computer Skills
Ability to use a computer, browse the internet, and manage files.
2- Fundamental Understanding of Business Concepts
Basic knowledge of how organizations operate (e.g., sales, marketing, finance).
3- Basic Knowledge of Data and Spreadsheets
Familiarity with tools like Microsoft Excel (tables, simple formulas) is helpful.
4- Analytical Thinking
Interest in working with data, identifying patterns, and making decisions based on insights.
5- No Prior BI Experience Required
This is a beginner-friendly course designed for learners with no previous experience in Business Intelligence.
-
Trainer’s Name
Dr. Sara A. Mohamed
-
Level
(Beginner / Intermediate)
-
Course Fee
$230
-
Available Seats
15
-
Schedule
09:30 am - 12:00 pm
Enroll Now
Dabakh IT Training
Instructor Details
![]()
About Instructor
Experience: 5+ Years
Expertise: Data & BI
Courses: 12+
Professionals Trained: 3,500+
In today’s data-driven world, organizations rely on accurate insights to make smarter
and faster decisions. Business Intelligence (BI) plays a critical role in transforming
raw data into meaningful information that helps businesses understand performance,
identify opportunities, and plan effective strategies.
This course is designed to introduce learners to the essential concepts, tools, and techniques of Business Intelligence. Participants will learn how to collect, analyze, and visualize data to support business decision-making. Through practical exercises and real-world examples, learners will gain hands-on experience in building dashboards and analytical reports using industry tools such as Microsoft Power BI and Tableau.
With the right Business Intelligence strategy, organizations can improve efficiency, enhance customer experiences, and stay competitive in an increasingly data-driven marketplace. Business Intelligence is not just about analyzing data—it’s about transforming information into actionable knowledge that drives sustainable business success.
By the end of this course, participants will have the knowledge and practical skills needed to transform data into valuable insights and contribute effectively to data-driven organizations.
This course is designed to introduce learners to the essential concepts, tools, and techniques of Business Intelligence. Participants will learn how to collect, analyze, and visualize data to support business decision-making. Through practical exercises and real-world examples, learners will gain hands-on experience in building dashboards and analytical reports using industry tools such as Microsoft Power BI and Tableau.
With the right Business Intelligence strategy, organizations can improve efficiency, enhance customer experiences, and stay competitive in an increasingly data-driven marketplace. Business Intelligence is not just about analyzing data—it’s about transforming information into actionable knowledge that drives sustainable business success.
By the end of this course, participants will have the knowledge and practical skills needed to transform data into valuable insights and contribute effectively to data-driven organizations.
The objectives of this course are designed to provide learners with a clear
understanding of how Business Intelligence helps organizations make informed decisions.
This section outlines the key skills and knowledge participants will gain throughout the
program.
- Understand the fundamental concepts of Business Intelligence and data analytics.
- Learn how to collect, organize, and analyze data from multiple sources.
- Develop the ability to transform raw data into meaningful insights.
- Build interactive dashboards and reports using tools such as Microsoft Power BI.
- Support business decision-making through data-driven analysis.
- Understand the fundamental concepts of Business Intelligence and data analytics.
- Learn how to collect, organize, and analyze data from multiple sources.
- Develop the ability to transform raw data into meaningful insights.
- Build interactive dashboards and reports using tools such as Microsoft Power BI.
- Support business decision-making through data-driven analysis.
This section explains who can enroll in the course and the basic background knowledge
that participants should have before starting the program.
The requierments
- University students interested in data analysis or business technology.
- Business professionals who want to improve their data analysis skills.
- Managers and decision-makers who want to understand business data better.
- IT professionals looking to expand their knowledge in Business Intelligence.
- Basic computer knowledge and familiarity with tools such as Microsoft Excel is recommended but not mandatory.
The requierments
- University students interested in data analysis or business technology.
- Business professionals who want to improve their data analysis skills.
- Managers and decision-makers who want to understand business data better.
- IT professionals looking to expand their knowledge in Business Intelligence.
- Basic computer knowledge and familiarity with tools such as Microsoft Excel is recommended but not mandatory.
Course Content
📚 8 Modules • 🎬 40 Lessons • ⏱ 6h 35m
Module 1: Introduction to Business Intelligence
(5 Lessons - 45 min)
This module introduces the fundamental concepts of Business Intelligence and explains how organizations use data to support strategic decision-making.
What's included
🎬 3 Videos • 📚 2 reading
-
▶ Lesson 1🎬 1.1 What is Business Intelligence (10 min)
-
▶ Lesson 2🎬 1.2 Evolution of BI (9 min)
-
▶ Lesson 3🎬 1.3 Role of Data in Business (8 min)
-
▶ Lesson 4📚 1.4 Components of a BI System (10 min)
-
▶ Lesson 5📚 1.5 BI Architecture Overview (8 min)
Module 2: Data Sources and Data Collection
(5 Lessons - 40 min)
In this module, learners explore different types of data sources and understand how organizations collect and manage business data.
What's included
🎬 2 Videos • 📚 3 reading
-
▶ Lesson 1🎬 2.1 Types of Business Data (10 min)▶ Lesson 2🎬 2.2 Internal vs External Data Sources (8 min)▶ Lesson 3📚 2.3 Data Collection Methods (4 min)▶ Lesson 4📚 2.4 Introduction to Databases (10 min)▶ Lesson 5📚 2.5 Data Quality and Data Preparation (8 min)
Module 3: Data Warehousing Fundamentals
(5 Lessons - 40 min)
This module focuses on how data warehouses are designed and used to support Business Intelligence systems.
What's included
🎬 4 videos • 📚 1 readings
-
▶ Lesson 1📚 3.1 Introduction to Data Warehousing (10 min)
-
▶ Lesson 2🎬 3.2 Data Warehouse Architecture (8 min)
-
▶ Lesson 3🎬 3.3 Data Modeling Concepts (4 min)
-
▶ Lesson 4🎬 3.4 ETL Process (Extract, Transform, Load) (10 min)
-
▶ Lesson 5🎬 3.5 Data Integration Techniques (8 min)
Module 4: Data Analysis for Business Intelligence
(5 Lessons - 40 min)
Participants will learn how to analyze business data to uncover trends, patterns, and meaningful insights.
What's included
🎬 3 Videos 📚 5 readings
-
▶ Lesson 1📚 4.1 Introduction to Data Analysis (10 min)
-
▶ Lesson 2📚 4.2 Data Exploration Techniques (8 min)
-
▶ Lesson 3🎬 4.3 Identifying Business Trends (4 min)
-
▶ Lesson 4🎬 4.4 Key Performance Indicators (KPIs) (10 min)
-
▶ Lesson 5🎬 4.5 Data Interpretation for Decision Making (8 min)
Module 5: Data Visualization and Dashboards
(5 Lessons - 40 min)
This module teaches learners how to transform complex data into clear visual insights using modern BI visualization tools.
What's included
🎬 5 Videos
-
▶ Lesson 1🎬 5.1 Principles of Data Visualization (10 min)
-
▶ Lesson 2🎬 5.2 Designing Effective Charts and Graphs (8 min)
-
▶ Lesson 3🎬 5.3 Building Interactive Dashboards (4 min)
-
▶ Lesson 4🎬 5.4 Dashboard Design Best Practices (10 min)
-
▶ Lesson 5🎬 5.5 BI Tools using as Microsoft Power BI (8 min)
Module 6: Business Reporting and Performance Monitoring
(5 Lessons - 40 min)
Students learn how organizations use reports and dashboards to monitor performance and evaluate business success.
What's included
🎬 3 Videos • 📚 2 reading
-
▶ Lesson 1🎬 6.1 Business Reporting Fundamentals (10 min)
-
▶ Lesson 2🎬 6.2 Types of Business Reports (8 min)
-
▶ Lesson 3🎬 6.3 KPI Monitoring and Performance Metrics (4 min)
-
▶ Lesson 4📚 6.4 Automated Reporting Systems (10 min)
-
▶ Lesson 5📚 6.5 Dashboard Reporting Strategies (8 min)
Module 7: Introduction to Predictive Analytics
(5 Lessons - 40 min)
This module introduces predictive analytics concepts and how data can be used to forecast future business outcomes.
What's included
🎬 2 Videos • 📚 3 reading
-
▶ Lesson 1🎬 7.1 Predictive Analytics Concepts (10 min)
-
▶ Lesson 2🎬 7.2 Forecasting Methods (8 min)
-
▶ Lesson 3📚 7.3 Introduction to Business Forecasting (4 min)
-
▶ Lesson 4📚 7.4 Predictive Models in Business (10 min)
-
▶ Lesson 5📚 7.5 Future Trends in Business Intelligence (8 min)
Module 8: Business Intelligence Project
(5 Lessons - 40 min)
In the final module, participants apply their knowledge by completing a practical Business Intelligence project.
What's included
🎬 5 Videos
-
▶ Lesson 1🎬 8.1 BI Project Planning (10 min)
-
▶ Lesson 2🎬 8.2 Data Collection and Preparation (8 min)
-
▶ Lesson 3🎬 8.3 Data Analysis and Visualization (4 min)
-
▶ Lesson 4🎬 8.4 Dashboard Development (10 min)
-
▶ Lesson 5🎬 8.5 Project Presentation and Evaluation (8 min)
By the end of this course, participants will gain practical knowledge and essential
skills in Business Intelligence that enable them to analyze data effectively and support
strategic decision-making within organizations.
Learning Outcomes:
Understand the core concepts and architecture of Business Intelligence systems.Collect, clean, and organize data from multiple business sources. Analyze datasets to identify trends, patterns, and key business insights.Design and build interactive dashboards and reports using tools such as Microsoft Power BI. Apply data visualization techniques to communicate insights clearly to stakeholders.Develop data-driven decision-making skills for business environments.
Learning Outcomes:
Understand the core concepts and architecture of Business Intelligence systems.Collect, clean, and organize data from multiple business sources. Analyze datasets to identify trends, patterns, and key business insights.Design and build interactive dashboards and reports using tools such as Microsoft Power BI. Apply data visualization techniques to communicate insights clearly to stakeholders.Develop data-driven decision-making skills for business environments.
This course is designed for beginners and requires only basic computer skills and a general understanding of business concepts.
Familiarity with simple data handling tools such as Excel is helpful but not mandatory. No prior experience in Business Intelligence is required,
making it suitable for anyone interested in learning how to use data for better decision-making
Prerequisites:
1- Basic Computer Skills Ability to use a computer, browse the internet, and manage files.
2- Fundamental Understanding of Business Concepts Basic knowledge of how organizations operate (e.g., sales, marketing, finance).
3- Basic Knowledge of Data and Spreadsheets Familiarity with tools like Microsoft Excel (tables, simple formulas) is helpful.
4- Analytical Thinking Interest in working with data, identifying patterns, and making decisions based on insights.
5- No Prior BI Experience Required This is a beginner-friendly course designed for learners with no previous experience in Business Intelligence.
Prerequisites:
1- Basic Computer Skills Ability to use a computer, browse the internet, and manage files.
2- Fundamental Understanding of Business Concepts Basic knowledge of how organizations operate (e.g., sales, marketing, finance).
3- Basic Knowledge of Data and Spreadsheets Familiarity with tools like Microsoft Excel (tables, simple formulas) is helpful.
4- Analytical Thinking Interest in working with data, identifying patterns, and making decisions based on insights.
5- No Prior BI Experience Required This is a beginner-friendly course designed for learners with no previous experience in Business Intelligence.
-
Trainer’s Name
Dr. Sara A. Mohamed -
Level
(Beginner / Intermediate)
-
Course Fee
$230
-
Available Seats
15
-
Schedule
09:30 am - 12:00 pm
Instructor Details
About Instructor
Experience: 5+ Years
Expertise: Data & BI
Courses: 12+
Professionals Trained: 3,500+
