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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 and Oracle, as well as other data sources.
  • Strategies for maintaining secure and efficient data connections.

Data Analysis, Cleansing, and Governance

  • Profiling data to understand underlying structures.
  • Techniques for data cleansing and normalization.
  • Aggregating data from multiple disparate sources.
  • Practical lab: Preparing datasets for reporting purposes.

Implementing ETL Workflows with Power Query and Pivot

  • Core concepts of Extract, Transform, and Load (ETL) processes.
  • Applying Power Query for data transformation tasks.
  • Constructing Pivot models to support analysis.
  • Practical lab: Designing and executing an ETL pipeline.

Advanced Data Modeling using DAX and M

  • Introduction to DAX (Data Analysis Expressions).
  • Key DAX functions frequently used in reporting contexts.
  • Implementing M expressions within Power Query.
  • Practical lab: Applying DAX and M to real-world analytical scenarios.

Report Design and Executive Presentations in Power BI

  • Key principles for effective dashboard design.
  • Utilizing custom visuals to enhance interactivity.
  • Crafting reports suitable for executive review.
  • Practical lab: Developing a comprehensive executive dashboard.

Advisory Support for Corporate Objectives

  • Allocated time for assistance on actual project requirements.
  • Expert guidance on developing custom reports and presentations.
  • Aligning dashboard metrics with corporate KPIs.

Conclusions and Future Directions

Requirements

  • Fundamental knowledge of database systems and SQL.
  • Experience with Excel or other reporting applications.

Target Audience

  • Data analysts.
  • Business intelligence specialists.
  • Reporting experts.
  • Corporate decision support teams.

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