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Duration 21 hours
Course Outline
Introduction to Power BI and Oracle Integration
- Overview of Oracle database connectivity options
- Establishing links between Power BI, Oracle, and other data sources
- Best practices for maintaining secure and efficient connections
Data Analysis, Cleansing, and Management
- Profiling data and understanding its structure
- Techniques for data cleansing and normalization
- Merging multiple data sources
- Practical lab: preparing data for reporting
ETL Processes Using Power Query and Pivot
- Foundations of ETL concepts
- Leveraging Power Query for data transformation
- Developing Pivot models for analytical purposes
- Practical lab: constructing an ETL pipeline
Advanced Data Modeling with DAX and M
- Introduction to DAX (Data Analysis Expressions)
- Essential DAX functions for reporting
- Applying M formulas within Power Query
- Practical lab: utilizing DAX and M in realistic scenarios
Report Design and Executive Presentations in Power BI
- Core principles of effective dashboard design
- Incorporating custom visuals and interactivity
- Crafting reports suitable for executive review
- Practical lab: developing an executive dashboard
Advisory Support for Corporate Requirements
- Dedicated time for assistance with active projects
- Guidance on developing custom reports and presentations
- Aligning dashboards with corporate KPIs
Summary and Future 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
Testimonials (1)
good explanation on each points and provide assignment for practices.