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 Duration 21 hours

Course Outline

Foundations of Power BI and Oracle Integration

  • Overview of connectivity options for Oracle databases.
  • Methods for linking Power BI to Oracle and alternative data sources.
  • Best practices for ensuring secure and efficient data connections.

Data Analysis, Cleansing, and Governance

  • Techniques for profiling and interpreting data structures.
  • Strategies for data cleansing and normalization.
  • Approaches to consolidating multiple disparate data sources.
  • Practical lab: Preparing raw data for effective reporting.

ETL Workflows using Power Query and Pivot

  • Core concepts of Extract, Transform, Load (ETL) processes.
  • Leveraging Power Query for data transformation tasks.
  • Constructing Pivot models to enhance analytical depth.
  • Practical lab: Developing a functional ETL pipeline.

Advanced Data Modeling via DAX and M

  • Introduction to Data Analysis Expressions (DAX).
  • Application of common DAX functions in reporting contexts.
  • Utilizing M formulas within Power Query for complex logic.
  • Practical lab: Implementing DAX and M in realistic scenarios.

Designing Reports and Executive Presentations in Power BI

  • Key principles for effective dashboard and visual design.
  • Implementation of custom visuals and interactive elements.
  • Crafting reports suitable for executive review.
  • Practical lab: Assembling a comprehensive executive dashboard.

Advisory Support for Corporate Objectives

  • Dedicated time slots for assistance with actual projects.
  • Expert guidance on developing custom reports and presentations.
  • Aligning dashboard metrics with specific corporate KPIs.

Recap and Future Pathways

Requirements

  • Fundamental knowledge of database structures and SQL.
  • Practical experience with Excel or other standard reporting tools.

Target Audience

  • Data analysts.
  • Business intelligence specialists.
  • Professionals focused on reporting and analytics.
  • Teams responsible for corporate decision support.

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