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 Duration 21 hours

Course Outline

Foundations of Power BI and Oracle Integration

  • Overview of connectivity options for Oracle databases
  • Establishing links between Power BI, Oracle, and additional data sources
  • Best practices for ensuring secure and efficient data connections

Data Analysis, Cleansing, and Governance

  • Profiling data to comprehend underlying structures
  • Techniques for data cleansing and normalization
  • Consolidating data from multiple disparate sources
  • Practical exercise: Preparing datasets for reporting

Implementing ETL Workflows with Power Query and Pivot

  • Core concepts of Extract, Transform, and Load (ETL)
  • Leveraging Power Query for data transformation
  • Constructing Pivot models to enhance analytical capabilities
  • Practical exercise: Developing a functional ETL pipeline

Advanced Data Modeling Using DAX and M

  • Introduction to DAX (Data Analysis Expressions)
  • Essential DAX functions for comprehensive reporting
  • Utilizing M formulas within Power Query
  • Practical exercise: Applying DAX and M in real-world scenarios

Crafting Reports and Executive Presentations in Power BI

  • Key principles for effective dashboard design
  • Incorporating custom visuals and interactive elements
  • Developing reports suitable for executive review
  • Practical exercise: Building a high-level executive dashboard

Advisory Support for Corporate Objectives

  • Allocated time for assistance on live, real-world projects
  • Expert guidance on developing custom reports and presentations
  • Aligning dashboard metrics with corporate KPIs

Conclusion and Path Forward

Requirements

  • Fundamental knowledge of databases and SQL
  • Proficiency with Excel or similar reporting tools

Target Audience

  • Data analysts
  • Business intelligence specialists
  • Reporting professionals
  • Corporate decision support teams

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