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 Duration 21 hours

Course Outline

Introduction to Power BI and Oracle Integration

  • Overview of Oracle database connectivity options
  • Establishing connections between Power BI and Oracle, as well as other sources
  • Best practices for maintaining secure and efficient data connections

Data Analysis, Cleansing, and Management

  • Profiling data and understanding underlying structures
  • Techniques for data cleansing and normalization
  • Consolidating information from multiple data sources
  • Hands-on lab: Preparing data for reporting workflows

ETL Processes with Power Query and Pivot

  • Core concepts of Extract, Transform, and Load (ETL)
  • Leveraging Power Query for data transformation tasks
  • Constructing Pivot models to support analysis
  • Hands-on lab: Developing a functional ETL pipeline

Advanced Data Modeling with DAX and M

  • Introduction to DAX (Data Analysis Expressions)
  • Common DAX functions used in reporting contexts
  • Applying M formulas within Power Query
  • Hands-on lab: Implementing DAX and M in real-world scenarios

Report Design and Executive Presentations in Power BI

  • Principles behind effective dashboard design
  • Incorporating custom visuals and interactivity
  • Creating reports suitable for executive audiences
  • Hands-on lab: Building a comprehensive executive dashboard

Advisory Support for Corporate Needs

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

Summary and Next Steps

Requirements

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

Target Audience

  • Data analysts
  • Business intelligence specialists
  • Reporting professionals
  • Corporate decision support teams

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