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Duration 21 hours
Course Outline
Introduction to Power BI and Oracle Integration
- Overview of Oracle database connectivity options
- Connecting Power BI to Oracle and various other data sources
- Best practices for establishing secure and efficient data connections
Data Analysis, Cleansing, and Management
- Profiling and interpreting data structures
- Techniques for data cleansing and normalization
- Consolidating data from multiple sources
- Practical lab: Preparing data for reporting purposes
ETL Process with Power Query and Pivot
- Understanding core ETL concepts
- Leveraging Power Query for data transformation
- Constructing Pivot models for analytical purposes
- Practical lab: Developing an ETL pipeline
Advanced Data Modeling with DAX and M
- Introduction to DAX (Data Analysis Expressions)
- Essential DAX functions used in reporting
- Applying M formulas within Power Query
- Practical lab: Implementing DAX and M in real-world scenarios
Report Design and Executive Presentations in Power BI
- Key principles of effective dashboard design
- Incorporating custom visuals and interactive elements
- Designing reports suitable for executive review
- Practical lab: Building an executive dashboard
Advisory Support for Corporate Needs
- Dedicated time for assistance with ongoing real projects
- Guidance on developing custom reports and presentations
- Aligning dashboards with corporate Key Performance Indicators (KPIs)
Summary and Next Steps
Requirements
- Fundamental knowledge of database structures and SQL
- Proficiency with Excel or similar reporting tools
Target Audience
- Data analysts
- Business intelligence specialists
- Reporting professionals
- Teams focused on corporate decision support
Testimonials (1)
good explanation on each points and provide assignment for practices.
