Course Overview

Business Intelligence using Power BI and SQL is a comprehensive professional training program designed to equip data analysts, business intelligence professionals, database administrators, managers, researchers, and decision-makers with advanced skills in data extraction, transformation, analysis, visualization, and reporting. As organizations increasingly rely on Business Intelligence, Power BI, SQL Analytics, Data Visualization, Dashboard Development, Data Analytics, Reporting Automation, Database Management, Data Warehousing, and Data-Driven Decision Making, there is a growing demand for professionals who can transform raw data into actionable insights that drive business performance and strategic growth. This course provides participants with practical expertise in leveraging SQL for data management and Power BI for advanced analytics and interactive reporting.

The training explores the complete business intelligence lifecycle, including data acquisition, SQL querying, database integration, data modeling, ETL processes, Power BI dashboard development, KPI monitoring, and executive reporting. Participants will learn how to connect multiple data sources, design analytical models, create interactive dashboards, and automate reporting processes to support operational and strategic decision-making. The course combines theoretical concepts with hands-on exercises using real-world business datasets and industry scenarios.

Participants will gain practical experience in writing advanced SQL queries, developing relational databases, designing Power BI data models, creating DAX calculations, building dynamic dashboards, and implementing business intelligence solutions. The course emphasizes data quality, governance, visualization best practices, performance optimization, and stakeholder-focused reporting. Through practical exercises and case studies, participants will develop confidence in designing and deploying business intelligence systems that enhance organizational transparency, efficiency, and performance.

The training further addresses emerging trends in business intelligence, including cloud analytics, AI-powered insights, self-service analytics, real-time dashboards, predictive analytics, automated reporting, enterprise data governance, and integrated decision-support systems. Participants will develop competencies required to build modern business intelligence ecosystems that support organizational agility, innovation, and sustainable growth.

Course Objectives

1. Understand the principles and architecture of business intelligence systems.

2. Master SQL for data extraction, manipulation, and analysis.

3. Design and manage relational databases for business intelligence applications.

4. Develop data models and transformations using Power BI.

5. Create interactive dashboards and visual reports.

6. Apply DAX functions and calculations for advanced analytics.

7. Integrate multiple data sources into unified BI solutions.

8. Automate reporting and performance monitoring processes.

9. Support strategic decision-making through business intelligence insights.

10. Implement best practices in data governance, security, and BI deployment.

Organizational Benefits

1. Improved decision-making through real-time business insights.

2. Enhanced operational efficiency through automated reporting.

3. Better visibility into organizational performance and KPIs.

4. Increased data accuracy and consistency across departments.

5. Improved forecasting and strategic planning capabilities.

6. Enhanced productivity through self-service analytics.

7. Reduced reporting time and manual data processing.

8. Better integration of organizational data assets.

9. Strengthened data governance and information management.

10. Increased competitiveness through data-driven business strategies.

Target Participants

· Business intelligence analysts and developers

· Data analysts and data managers

· Database administrators and SQL developers

· Monitoring and Evaluation (M&E) specialists

· Financial analysts and accountants

· Operations and performance management professionals

· IT professionals and system administrators

· Researchers and statisticians

· Project and program managers

· Government and public sector officers

· Consultants and business advisors

· Anyone interested in business intelligence, Power BI, and SQL analytics

Course Outline

Module 1: Introduction to Business Intelligence and Analytics

1. Fundamentals of business intelligence

2. BI architecture and components

3. Data-driven decision-making concepts

4. Business intelligence lifecycle

5. Overview of Power BI and SQL

6. Emerging trends in business intelligence

Case Study:
Developing a business intelligence strategy to improve organizational performance and reporting.

Module 2: Database Fundamentals and SQL Essentials

1. Relational database concepts

2. Database design principles

3. SQL syntax and query fundamentals

4. Data types and database structures

5. Creating and managing database objects

6. Best practices in database management

Case Study:
Designing a database structure for enterprise performance reporting.

Module 3: SQL for Data Extraction and Analysis

1. SELECT statements and filtering

2. Sorting, grouping, and aggregation

3. Joins and relationships

4. Subqueries and Common Table Expressions (CTEs)

5. Window functions and advanced SQL

6. Query optimization techniques

Case Study:
Extracting and analyzing sales and operational data using advanced SQL queries.

Module 4: Data Cleaning and Transformation with SQL

1. Data quality assessment

2. Data cleansing techniques

3. Handling missing and duplicate records

4. Data transformation methods

5. Data integration and consolidation

6. Building ETL workflows using SQL

Case Study:
Preparing multi-source organizational data for business intelligence reporting.

Module 5: Introduction to Power BI

1. Power BI ecosystem and components

2. Connecting data sources

3. Importing and managing datasets

4. Data modeling fundamentals

5. Power Query basics

6. Power BI interface and navigation

Case Study:
Connecting organizational databases and spreadsheets to Power BI.

Module 6: Data Modeling and DAX in Power BI

1. Building data relationships

2. Star and snowflake schema design

3. Introduction to DAX language

4. Calculated columns and measures

5. Time intelligence functions

6. Advanced DAX calculations

Case Study:
Developing performance metrics and KPI calculations for executive reporting.

Module 7: Data Visualization and Dashboard Design

1. Principles of effective data visualization

2. Selecting appropriate chart types

3. Interactive visualizations and filters

4. Dashboard layout and design

5. Data storytelling techniques

6. User experience optimization

Case Study:
Creating an executive dashboard to monitor organizational performance indicators.

Module 8: Advanced Power BI Analytics

1. Drill-through and drill-down functionality

2. Advanced filtering techniques

3. Custom visuals and visual interactions

4. Forecasting and trend analysis

5. Geospatial and map visualizations

6. Analytical insights and anomaly detection

Case Study:
Analyzing regional performance trends using advanced Power BI visualizations.

Module 9: Business Performance Monitoring and KPI Reporting

1. KPI framework development

2. Balanced scorecards and performance dashboards

3. Financial and operational reporting

4. Real-time monitoring systems

5. Automated report generation

6. Executive decision-support systems

Case Study:
Developing a KPI dashboard to support strategic planning and performance management.

Module 10: Power BI Service and Collaboration

1. Publishing reports to Power BI Service

2. Workspace management and collaboration

3. Data refresh and scheduling

4. Sharing dashboards securely

5. Mobile BI applications

6. Governance and administration

Case Study:
Implementing a collaborative business intelligence environment across departments.

Module 11: Data Governance, Security, and BI Best Practices

1. Data governance principles

2. Role-based access control

3. Data security and privacy measures

4. BI project management methodologies

5. Performance optimization techniques

6. Compliance and auditing considerations

Case Study:
Developing governance and security controls for enterprise business intelligence systems.

Module 12: Advanced BI Solutions and Future Trends

1. AI-powered analytics in Power BI

2. Predictive analytics and machine learning integration

3. Cloud-based business intelligence platforms

4. Self-service analytics strategies

5. Emerging trends in BI and data analytics

6. Strategic roadmap for BI transformation

Case Study:
Designing an integrated business intelligence ecosystem that combines SQL-based data management, enterprise data warehousing, Power BI dashboards, KPI monitoring, automated reporting, predictive analytics, AI-powered insights, governance frameworks, and real-time decision-support systems to improve operational efficiency, strategic planning, organizational performance, and competitive advantage.

Essential Information

Our courses are customizable to suit the specific needs of participants.
Participants are required to have proficiency in the English language.
Our training sessions feature comprehensive guidance through presentations, practical exercises, web-based tutorials, and collaborative group activities. Our facilitators boast extensive expertise, each with over a decade of experience.
Upon fulfilling the training requirements, participants will receive a prestigious Global King Project Management certificate.
Training sessions are conducted at various Global King Project Management Centers, including locations in Nairobi, Mombasa, Kigali, Dubai, Lagos, and others.
Organizations sending more than two participants from the same entity are eligible for a generous 20% discount.
The duration of our courses is adaptable, and the curriculum can be adjusted to accommodate any number of days.
To ensure seamless preparation, payment is expected before the commencement of training, facilitated through the Global King Project Management account.
For inquiries, reach out to us via email at training@globalkingprojectmanagement.org or by phone at +254 114 830 889.
Additional amenities such as tablets and laptops are available upon request for an extra fee. The course fee for onsite training covers facilitation, training materials, two coffee breaks, a buffet lunch, and a certificate of successful completion. Participants are responsible for arranging and covering their travel expenses, including airport transfers, visa applications, dinners, health insurance, and any other personal expenses.

Business Intelligence using Power BI and SQL Training Course