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 Duration 21 hours

Course Outline

Introduction to Power BI and Oracle Connectivity

  • Overview of establishing Oracle database connections
  • Linking Power BI to Oracle and other data platforms
  • Best practices for secure and efficient data linking

Data Analysis, Cleansing, and Management

  • Profiling and interpreting data structures
  • Techniques for data cleansing and normalization
  • Integrating data from multiple sources
  • Practical lab: Preparing datasets for reporting

ETL Workflows with Power Query and Pivot

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

Advanced Data Modeling Using DAX and M

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

Report Design and Executive Presentations in Power BI

  • Key principles of effective dashboard design
  • Implementing custom visuals and interactivity
  • Crafting reports suitable for executive review
  • Practical lab: Building a comprehensive executive dashboard

Advisory Support for Corporate Objectives

  • Dedicated time for assistance on active projects
  • Guidance on developing custom reports and presentations
  • Aligning dashboards with key corporate KPIs

Summary and Future Steps

Requirements

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

Target Audience

  • Data analysts
  • Business intelligence specialists
  • Reporting professionals
  • Teams supporting corporate decision-making

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