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 Duration 21 hours

Course Outline

Introduction to Power BI and Oracle Connectivity

  • Overview of Oracle database connection capabilities
  • Establishing links between Power BI and Oracle, along with other data sources
  • Best practices for ensuring secure and efficient data connections

Data Analysis, Cleansing, and Governance

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

ETL Workflows with Power Query and Pivot

  • Core concepts of ETL methodologies
  • Utilizing Power Query for data transformation
  • Constructing Pivot models for deeper analysis
  • Practical lab: Building an ETL pipeline

Advanced Data Modeling Using DAX and M

  • Introduction to DAX (Data Analysis Expressions)
  • Key DAX functions commonly used in reporting
  • Application of M formulas within Power Query
  • Practical lab: Implementing DAX and M in real-world scenarios

Designing Reports and Executive Presentations in Power BI

  • Key principles of effective dashboard design
  • Incorporating custom visuals and interactive elements
  • Creating reports suitable for executive review
  • Practical lab: Constructing an executive-level dashboard

Advisory Support for Corporate Objectives

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

Conclusion and Future Steps

Requirements

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

Target Audience

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

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Price per participant (excl. VAT)

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