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Course Outline

Fundamentals of Power BI

  • Introduction to Power BI and its core components
  • Understanding the broader Power BI ecosystem
  • Installing and configuring Power BI Desktop

Integration with Data Sources

  • Importing data from Excel, relational databases, and cloud platforms
  • Applying data transformations through Power Query
  • Cleaning and structuring financial datasets

Data Modeling and DAX Essentials

  • Establishing relationships between data tables
  • Introduction to DAX formula syntax
  • Developing calculated columns and measures

Designing Reports and Dashboards

  • Crafting financial reports using varied visualization types
  • Effectively utilizing tables, charts, and Key Performance Indicators (KPIs)
  • Enhancing interactivity through slicers and filters

Report Publication and Distribution

  • Publishing reports to the Power BI Service
  • Implementing secure dashboard sharing protocols
  • Configuring scheduled data refreshes and alert settings

Preparing for Power BI Certification (PL-300)

  • Exam structure and learning objectives
  • Review of practice questions and exam strategies
  • Recommended learning resources for further study

Best Practices for Financial Analytics

  • Optimizing Power BI performance
  • Designing intuitive and user-friendly dashboards
  • Identifying and avoiding common analytical pitfalls

Conclusion and Future Steps

Requirements

  • Fundamental knowledge of financial data structures and reporting standards
  • Proficiency with Excel or comparable spreadsheet applications

Target Audience

  • Financial analysts
  • Business intelligence specialists
  • Finance teams aiming to enhance data-driven decision-making capabilities using Power BI
 14 Hours

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