Module 1: Introduction to Power BI
- Introduction to Business Intelligence (BI)
- Overview of Self-Service BI (SSBI)
- Introduction to Power BI
- Comparative Analysis:
- Traditional BI vs. Power BI
- Power BI vs. Tableau vs. QlikView
- Use Cases of Power BI
- Basic Components of Power BI
Hands-On: Installation and Setup of Power BI Desktop.
Module 2: Getting Started with Power BI Desktop
- Connecting to Data Sources
- Loading Data into Power BI Desktop
- Understanding Different Views in Power BI Desktop
- Introduction to Power Query Editor
- Data Transformation Techniques:
- Cleaning, Shaping, and Modeling Data
- Managing Data Relationships:
- Creating and Editing Relationships
- Cross-Filter Direction
Skills You Will Learn: Data transformation, data modeling, managing relationships.
Hands-On: Loading and transforming data, creating relationships.
Module 3: Data Analysis with DAX (Data Analysis Expressions)
- Introduction to DAX
- Understanding Data Types in DAX
- DAX Calculation Types:
- Calculated Columns
- Measures
- DAX Syntax and Functions:
- Common DAX Functions
- DAX Operators and Tables
- Filtering Data with DAX
Skills You Will Learn: Creating and using DAX expressions, performing data analysis.
Hands-On: Creating calculated columns and measures using DAX.
Module 4: Data Visualization Techniques
- Introduction to Visuals in Power BI
- Creating Basic Visuals:
- Charts, Tables, and Matrices
- Using Slicers and Filters
- Advanced Visuals:
- Maps, Gauges, and Single Number Cards
- Custom Visuals and Formatting
- Enhancing Visuals:
- Bookmarks and Selection Pane
- KPI Visuals
- Shapes, Text Boxes, and Images
Skills You Will Learn: Creating and customizing visuals, using advanced techniques.
Hands-On: Creating various types of visuals and customizing them.
Module 5: Power BI Service
- Introduction to Power BI Service
- Creating and Publishing Reports and Dashboards
- Configuring and Managing Dashboards
- Using Power BI Q&A and Quick Insights
- Power BI Embedded and Collaboration
- Bookmarks and Buttons
Skills You Will Learn: Using Power BI Service for report and dashboard management.
Hands-On: Publish reports to Power BI Service, create and configure dashboards.
Module 6: Advanced Data Connectivity
- Data Sources Supported in Power BI
- Connecting to Various Data Sources:
- SQL Azure, SQL Server, MySQL, etc.
- Direct Query vs. Import Mode
- Using Data Gateways
Skills You Will Learn: Connecting Power BI to different data sources, understanding connectivity modes.
Hands-On: Set up data gateways, connect to SQL Server and other databases.
Module 7: Real-World Applications and Best Practices
- Industry-Specific KPIs and Metrics:
- Sales, Manufacturing, Finance
- Implementing Advanced Analytics:
- Time Intelligence, Pareto Analysis
- Forecasting, What-If Analysis
- AI Capabilities in Power BI
- Integration with Python and R
Skills You Will Learn: Applying Power BI in real-world scenarios, advanced analytics techniques.
Hands-On: Implement industry-based use cases and best practices.
Module 8: Power BI Report Server
- Introduction to Power BI Report Server
- Key Features and Architecture
- Installing and Setting Up Report Server
- Publishing and Managing Reports
- Implementing Row-Level Security
Skills You Will Learn: Using Power BI Report Server, managing and securing reports.
Hands-On: Set up Power BI Report Server, publish reports, and implement row-level security.
Module 9: Integration with Advanced Tools
- Integrating R and Python with Power BI
- Creating and Using R Scripts
- Creating and Using Python Scripts
- Advanced Analytics with R and Python
Skills You Will Learn: Using R and Python scripts in Power BI, performing advanced data analysis.
Hands-On: Perform data analysis using R and Python within Power BI.
Module 10: Final Project and Evaluation
- Capstone Project:
- Applying All Learned Concepts
- Creating Comprehensive Reports and Dashboards
- Presentation and Feedback
Skills You Will Learn: End-to-end Power BI project implementation, presenting insights.
Hands-On: Complete a capstone project involving data extraction, transformation, modeling, analysis, and visualization.
Value-Added Topics for PL-300 Certification Preparation
- Understanding the Microsoft Certification Process
- PL-300 Exam Objectives and Structure
- Key Topics for PL-300 Exam:
- Data Preparation
- Data Modeling
- Data Visualization
- Data Analysis
- Deployment and Maintenance
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