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Course Outline

Fundamentals of Power BI and Oracle Connectivity

  • Key aspects of Oracle database integration
  • Linking Power BI to Oracle and additional data sources
  • Optimal strategies for secure and high-performance connections

Data Analysis, Refinement, and Management

  • Analyzing and understanding data structures
  • Techniques for data cleansing and normalization
  • Integrating data from multiple sources
  • Practical lab: preparing datasets for reporting

ETL Workflows Using Power Query and Pivot

  • Core concepts of ETL
  • Applying Power Query for data transformation
  • Developing Pivot models for analytical purposes
  • Practical lab: constructing an ETL pipeline

Advanced Data Modeling with DAX and M

  • Overview of DAX (Data Analysis Expressions)
  • Standard DAX functions for reporting
  • Implementing M formulas within Power Query
  • Practical lab: applying DAX and M in real-world contexts

Report Creation and Executive Presentations in Power BI

  • Guidelines for effective dashboard design
  • Incorporating custom visuals and interactive elements
  • Crafting reports suitable for executive review
  • Practical lab: developing an executive dashboard

Advisory Support for Corporate Objectives

  • Allocated time for assistance on active projects
  • Support in developing custom reports and presentations
  • Aligning dashboard metrics with corporate KPIs

Summary and Future Directions

Requirements

  • Fundamental knowledge of databases and SQL
  • Experience with Excel or similar reporting utilities

Target Audience

  • Data analysts
  • Business intelligence experts
  • Reporting specialists
  • Teams supporting corporate decision-making
 21 Hours

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