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Power BI for Business Reporting Training Course

Online Training Download PDF
How to Register Click View Schedule for your preferred location, select your training dates, then register as an individual, group, or online participant. You will receive an invitation letter and invoice promptly after submission.
Training Locations Kenya (Nairobi, Mombasa, Malindi, Kisumu, Nakuru, Nanyuki) · Tanzania (Dodoma, Zanzibar, Dar es Salaam) · Dubai UAE · South Africa (Pretoria, Cape Town) · Istanbul · Accra · Banjul more ▾
Groups & Payment Groups of 5+ receive one complimentary place — see group rates. Payment due at least 1 month before (Europe & Asia) or 2 weeks before (Africa programs).
Upcoming Training Schedules 14 locations
Location Duration Next Start Date Dates Available Action
Nairobi, Kenya 10 days Jul 20, 2026 103 dates
Accra, Ghana 10 days Aug 17, 2026 31 dates
Addis Ababa, Ethiopia 10 days Jul 27, 2026 31 dates
Cape Town, South Africa 10 days Aug 17, 2026 52 dates
Dar es Salaam, Tanzania 10 days Aug 17, 2026 25 dates
Dubai, UAE 10 days Sep 21, 2026 52 dates
Istanbul, Turkey 10 days Aug 24, 2026 16 dates
Kampala, Uganda 10 days Jul 27, 2026 30 dates
Kigali, Rwanda 10 days Jul 20, 2026 51 dates
Kuala Lumpur, Malaysia 10 days Jul 27, 2026 31 dates
Mombasa, Kenya 10 days Jul 20, 2026 52 dates
Pretoria, South Africa 10 days Jul 20, 2026 52 dates
Singapore 10 days Aug 3, 2026 31 dates
Zanzibar, Tanzania 10 days Jul 20, 2026 16 dates

Power BI for Business Reporting Training Course

Course Introduction

Power BI for Business Reporting Training Course is designed to equip professionals with practical skills in business intelligence, interactive dashboard development, data visualization, business reporting automation, data analytics, and enterprise performance management using Microsoft Power BI. The course focuses on transforming raw business data into actionable insights through modern reporting systems, real-time dashboards, predictive analytics, and intelligent decision-making tools.

This practical and hands-on course explores data connection techniques, data modeling, Power Query transformation, DAX calculations, KPI dashboard creation, cloud-based reporting systems, financial analytics, operational reporting, and business performance monitoring. Participants will learn how to integrate multiple data sources, create dynamic visualizations, automate reports, and publish secure enterprise dashboards that support strategic planning and organizational growth.

The course also emphasizes advanced analytics, artificial intelligence integration, business intelligence governance, data storytelling, mobile reporting solutions, and digital transformation strategies. Through practical exercises and real-world case studies, participants will gain competencies in developing professional Power BI reports and dashboards for government institutions, NGOs, private sector organizations, financial institutions, and development projects.

Course Objectives

  1. Develop practical skills in Power BI business intelligence and reporting systems.
  2. Learn how to connect, transform, and manage business data sources.
  3. Strengthen competencies in interactive dashboard design and data visualization.
  4. Gain expertise in Power Query and data transformation techniques.
  5. Learn DAX formulas and advanced data modeling methods.
  6. Improve business reporting automation and real-time analytics capabilities.
  7. Understand KPI management and performance monitoring systems.
  8. Enhance decision-making using predictive analytics and AI-powered insights.
  9. Strengthen data governance, security, and compliance management skills.
  10. Learn best practices in enterprise business intelligence and digital reporting systems.

Organization Benefits

  1. Improved business reporting accuracy and automation.
  2. Enhanced decision-making through real-time business intelligence dashboards.
  3. Increased operational efficiency using automated analytics systems.
  4. Better financial reporting and performance monitoring capabilities.
  5. Improved data visualization and executive reporting processes.
  6. Enhanced project tracking and KPI management systems.
  7. Faster access to business insights and operational analytics.
  8. Improved collaboration through cloud-based reporting platforms.
  9. Stronger data governance and business intelligence security practices.
  10. Increased competitiveness through digital transformation and analytics innovation.

Target Participants

  • Business Analysts
  • Data Analysts
  • Financial Analysts
  • Monitoring and Evaluation Specialists
  • ICT Professionals
  • Project Managers
  • Operations Managers
  • Accountants and Auditors
  • Business Intelligence Officers
  • Researchers and Consultants
  • NGO and Government Staff
  • Corporate Executives and Team Leaders

Course Outline

Module 1: Introduction to Power BI and Business Intelligence

  1. Fundamentals of business intelligence and data analytics systems
  2. Introduction to Microsoft Power BI interface and architecture
  3. Components of Power BI Desktop, Service, and Mobile applications
  4. Business intelligence workflows and reporting frameworks
  5. Data-driven decision-making using Power BI dashboards
  6. Case study on business intelligence transformation using Power BI

Module 2: Data Connection and Data Integration

  1. Connecting Power BI to Excel, SQL databases, and cloud platforms
  2. Importing structured and unstructured business data
  3. Data integration from enterprise resource planning systems
  4. Working with APIs and online data sources
  5. Managing data refresh and real-time connectivity systems
  6. Case study on enterprise data integration and reporting

Module 3: Data Cleaning and Transformation with Power Query

  1. Introduction to Power Query Editor and ETL processes
  2. Data cleaning, validation, and quality management techniques
  3. Data transformation and reshaping methods
  4. Merging, appending, and combining multiple datasets
  5. Automation of repetitive data preparation workflows
  6. Case study on data transformation for business reporting

Module 4: Data Modeling and Relationship Management

  1. Fundamentals of data modeling and relational databases
  2. Creating table relationships and star schema models
  3. Managing calculated columns and measures
  4. Optimizing data models for reporting performance
  5. Hierarchies, drill-down analysis, and model optimization
  6. Case study on enterprise data modeling systems

Module 5: DAX Functions and Advanced Calculations

  1. Introduction to Data Analysis Expressions (DAX)
  2. Creating calculated measures and business metrics
  3. Time intelligence and financial analysis calculations
  4. Advanced filtering and aggregation functions
  5. Performance optimization for DAX calculations
  6. Case study on advanced DAX business analytics

Module 6: Dashboard Development and Data Visualization

  1. Principles of effective dashboard design and reporting
  2. Creating charts, graphs, maps, and KPI scorecards
  3. Interactive visualizations and drill-through reporting
  4. Conditional formatting and custom visualization tools
  5. Data storytelling and executive presentation techniques
  6. Case study on interactive business dashboard implementation

Module 7: Business Reporting and KPI Management

  1. Designing operational and executive business reports
  2. KPI monitoring and performance measurement systems
  3. Financial reporting and profitability analysis dashboards
  4. Project performance and monitoring dashboards
  5. Automated reporting and subscription management systems
  6. Case study on KPI reporting and business performance analytics

Module 8: Advanced Analytics and Artificial Intelligence

  1. Introduction to AI-powered analytics in Power BI
  2. Predictive analytics and forecasting models
  3. Machine learning integration and intelligent insights
  4. Trend analysis and anomaly detection techniques
  5. Smart narratives and automated analytical reporting
  6. Case study on AI-driven business intelligence solutions

Module 9: Cloud Reporting and Collaboration Systems

  1. Publishing reports to Power BI Service
  2. Cloud-based dashboard sharing and collaboration tools
  3. Workspace management and user access control systems
  4. Real-time reporting and mobile business intelligence solutions
  5. Integration with Microsoft 365 and cloud platforms
  6. Case study on enterprise cloud reporting systems

Module 10: Data Governance, Security, and Compliance

  1. Data governance frameworks in business intelligence systems
  2. Row-level security and user permission management
  3. Data privacy regulations and compliance requirements
  4. Cybersecurity principles in analytics environments
  5. Backup, recovery, and governance best practices
  6. Case study on secure business intelligence implementation

Module 11: Financial and Operational Analytics with Power BI

  1. Financial performance analysis and budgeting dashboards
  2. Sales analytics and customer intelligence systems
  3. Supply chain and operational performance reporting
  4. Human resource analytics and workforce reporting
  5. Risk analytics and strategic business forecasting
  6. Case study on operational and financial analytics dashboards

Module 12: Emerging Trends and Best Practices in Power BI

  1. Future trends in business intelligence and analytics technologies
  2. Big data integration and cloud analytics innovations
  3. Internet of Things analytics and smart reporting systems
  4. Automation and intelligent enterprise reporting solutions
  5. Best practices for scalable Power BI implementation
  6. Comprehensive case study on modern business intelligence transformation

General Information

  1. Customized Training: All our courses can be tailored to meet the specific needs of participants.
  2. Language Proficiency: Participants should have a good command of the English language.
  3. Comprehensive Learning: Our training includes well-structured presentations, practical exercises, web-based tutorials, and collaborative group work. Our facilitators are seasoned experts with over a decade of experience.
  4. Certification: Upon successful completion of training, participants will receive a certificate from Foscore Development Center (FDC-K).
  5. Training Locations: Training sessions are conducted at Foscore Development Center (FDC-K) centers. We also offer options for in-house and online training, customized to the client's schedule.
  6. Flexible Duration: Course durations are adaptable, and content can be adjusted to fit the required number of days.
  7. Onsite Training Inclusions: 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 their travel expenses, airport transfers, visa applications, dinners, health/accident insurance, and personal expenses.
  8. Additional Services: Accommodation, pickup services, freight booking, and visa processing arrangements are available upon request at discounted rates.
  9. Equipment: Tablets and laptops can be provided to participants at an additional cost.
  10. Post-Training Support: We offer one year of free consultation and coaching after the course.
  11. Group Discounts: Register as a group of more than two and enjoy a discount ranging from 10% to 50%.
  12. Payment Terms: Payment should be made before the commencement of the training or as mutually agreed upon, to the Foscore Development Center account. This ensures better preparation for your training.
  13. Contact Us: For any inquiries, please reach out to us at training@fdc-k.org or call us at +254712260031.
  14. Website: Visit our website at www.fdc-k.org for more information.

 

 

 

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