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Duration 21 hours
Course Outline
Foundations of Power BI and Oracle Integration
- Overview of connectivity options for Oracle databases.
- Establishing links between Power BI and Oracle, as well as other data sources.
- Strategies for maintaining secure and efficient data connections.
Data Analysis, Cleansing, and Governance
- Profiling data to understand underlying structures.
- Techniques for data cleansing and normalization.
- Aggregating data from multiple disparate sources.
- Practical lab: Preparing datasets for reporting purposes.
Implementing ETL Workflows with Power Query and Pivot
- Core concepts of Extract, Transform, and Load (ETL) processes.
- Applying Power Query for data transformation tasks.
- Constructing Pivot models to support analysis.
- Practical lab: Designing and executing an ETL pipeline.
Advanced Data Modeling using DAX and M
- Introduction to DAX (Data Analysis Expressions).
- Key DAX functions frequently used in reporting contexts.
- Implementing M expressions within Power Query.
- Practical lab: Applying DAX and M to real-world analytical scenarios.
Report Design and Executive Presentations in Power BI
- Key principles for effective dashboard design.
- Utilizing custom visuals to enhance interactivity.
- Crafting reports suitable for executive review.
- Practical lab: Developing a comprehensive executive dashboard.
Advisory Support for Corporate Objectives
- Allocated time for assistance on actual project requirements.
- Expert guidance on developing custom reports and presentations.
- Aligning dashboard metrics with corporate KPIs.
Conclusions and Future Directions
Requirements
- Fundamental knowledge of database systems and SQL.
- Experience with Excel or other reporting applications.
Target Audience
- Data analysts.
- Business intelligence specialists.
- Reporting experts.
- Corporate decision support teams.
Testimonials (1)
good explanation on each points and provide assignment for practices.