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 Duration 21 hours

Course Outline

Introduction to Power BI and Oracle Integration

  • Examining the capabilities of Oracle database connectivity.
  • Establishing links between Power BI and Oracle or other data sources.
  • Adopting best practices for secure and efficient data connections.

Data Analysis, Cleansing, and Management

  • Profiling data and understanding underlying structures.
  • Techniques for data cleansing and normalization.
  • Merging data from multiple sources for unified analysis.
  • Lab session: Preparing datasets for reporting purposes.

ETL Process with Power Query and Pivot

  • Core concepts of ETL methodologies.
  • Utilizing Power Query for data transformation tasks.
  • Constructing Pivot models to facilitate analysis.
  • Lab session: Building a functional ETL pipeline.

Advanced Data Modeling with DAX and M

  • Overview of DAX (Data Analysis Expressions).
  • Essential DAX functions for reporting applications.
  • Applying M formulas within Power Query.
  • Lab session: Implementing DAX and M in practical scenarios.

Report Design and Executive Presentations in Power BI

  • Key principles of effective dashboard design.
  • Incorporating custom visuals and interactivity.
  • Crafting reports suitable for executive review.
  • Lab session: Assembling a comprehensive executive dashboard.

Advisory Support for Corporate Needs

  • Allocated time for assistance with active projects.
  • Expert guidance on developing custom reports and presentations.
  • Ensuring dashboards align with key corporate performance indicators (KPIs).

Conclusion and Future Directions

Requirements

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

Target Audience

  • Data analysts.
  • Business intelligence specialists.
  • Reporting professionals.
  • Teams focused on corporate decision support.

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