Power BI Training: Empower Your Data Insights

Introduction to Power BI

1. Overview of Power BI and its Capabilities
2. Editions and Versions of Power BI
3. Key Features and Components of Power BI
4. Importance of Power BI in Data Analytics and Visualization

Getting Started with Power BI Desktop

1. Installing Power BI Desktop
2. Exploring the Power BI Desktop Interface
3. Connecting to Data Sources
4. Loading and Transforming Data with Power Query Editor

Data Modeling in Power BI

1. Understanding Data Modeling Concepts
2. Creating Relationships between Tables
3. Implementing Calculated Columns and Measures
4. Working with Hierarchies and Date Tables

Data Visualization Techniques

1. Creating Basic Visualizations (Bar Charts, Line Charts, Pie Charts)
2. Formatting and Customizing Visuals
3. Using Slicers and Filters for Interactivity
4. Implementing Drill-Down and Drill-Through Features

Advanced Data Visualization

1. Utilizing Advanced Visualizations (Treemaps, Scatter Plots, Maps)
2. Creating Custom Visuals with Power BI Visualizations SDK
3. Implementing Custom Hierarchies and KPIs
4. Using Themes and Templates for Consistent Branding

Power BI Query Editor

1. Advanced Data Transformation Techniques with Power Query Editor
2. Merging and Appending Queries
3. Handling Errors and Exceptions
4. Working with Parameters and Functions in Query Editor

Power BI Data Analysis Expressions (DAX)

1. Introduction to DAX Functions and Syntax
2. Creating Calculated Columns and Measures with DAX
3. Understanding Contexts and Evaluation Contexts
4. Advanced DAX Techniques for Time Intelligence and Statistical Analysis

Power BI Service and Power BI Mobile

1. Overview of Power BI Service Features and Functionality
2. Publishing Reports and Dashboards to Power BI Service
3. Collaborating and Sharing Content with Power BI Workspaces
4. Accessing Power BI Dashboards on Mobile Devices

Data Refresh and Scheduled Refresh

1. Configuring Data Refresh in Power BI Service
2. Understanding Gateways and Data Sources Compatibility
3. Scheduling Refresh for On-Premises and Cloud Data Sources
4. Troubleshooting Data Refresh Failures

Power BI Administration and Security

1. Managing Power BI Workspaces and Permissions
2. Implementing Row-Level Security (RLS) in Power BI
3. Auditing and Monitoring Power BI Usage
4. Power BI Premium Features and Licensing Options

Power BI Integration with Other Tools

1. Integrating Power BI with Microsoft Excel
2. Using Power BI with Azure Services (Azure SQL Database, Azure Data Lake)
3. Integrating Power BI with Dynamics 365 and SharePoint
4. Extending Power BI with Custom Visuals and APIs

Advanced Power BI Topics

1. Implementing Advanced Data Modeling Techniques (Many-to-Many Relationships, Bidirectional Filters)
2. Real-Time Streaming with Power BI (Azure Stream Analytics, Power BI REST API)
3. Power BI Embedded for Application Integration
4. Advanced Power BI Tips and Tricks for Performance Optimization

Power BI Certification Preparation

1. Overview of Microsoft Certified: Data Analyst Associate Certification
2. Exam Objectives and Skills Measured
3. Study Tips and Resources for Power BI Certification
4. Practice Exams and Mock Interviews for Exam Preparation

Career Development in Power BI

1. Roles and Responsibilities of Power BI Professionals
2. Job Opportunities and Career Paths in Data Analytics and Visualization
3. Continuing Education and Professional Development in Power BI
4. Networking and Industry Trends in Power BI

Conclusion and Next Steps

1. Recap of Key Concepts Covered in the Course
2. Actionable Takeaways for Mastering Power BI Skills
3. Continuing Education Resources for Power BI Professionals
4. Q&A and Open Discussion

Advanced Data Preparation Techniques

1. Advanced Data Cleaning and Transformation with Power Query Editor
2. Handling Complex Data Structures and Nested Data
3. Implementing Custom Functions and M Code in Power Query
4. Data Profiling and Quality Assessment Techniques

Power BI Data Gateway

1. Introduction to Power BI Data Gateway
2. Configuring and Managing On-Premises Data Gateways
3. Using Personal and Enterprise Gateways for Data Connectivity
4. Troubleshooting Gateway Connectivity Issues

Advanced Data Visualization Techniques

1. Utilizing Custom Visualizations from Power BI AppSource
2. Implementing Advanced Interactivity with Bookmarks and Buttons
3. Building Dynamic Reports with Conditional Formatting
4. Creating Animated Visualizations with Play Axis

Power BI Embedded and Power BI APIs

1. Overview of Power BI Embedded Service
2. Embedding Power BI Reports and Dashboards in Web Applications
3. Integrating Power BI with Custom Applications using Power BI REST APIs
4. Security Considerations and Authentication for Power BI Embedded

Power BI Dataflows

1. Introduction to Power BI Dataflows
2. Creating and Managing Dataflows in Power BI Service
3. Using Dataflows for Data Preparation and Transformation
4. Leveraging Dataflows for Reusability and Collaboration

Advanced DAX Functions

1. Mastering Time Intelligence Functions (DATESYTD, DATEADD, SAMEPERIODLASTYEAR)
2. Implementing Statistical Functions for Forecasting and Trend Analysis
3. Working with Calculation Groups and Dynamic Hierarchies
4. Creating Advanced Measures for Segmentation and Cohort Analysis

Power BI Performance Optimization

1. Performance Monitoring and Analysis with Performance Analyzer
2. Optimizing Power BI Reports for Faster Rendering and Interactivity
3. Data Model Optimization Techniques for Large Datasets
4. Implementing Incremental Refresh for Enhanced Performance

Power BI Mobile App Customization

1. Customizing Power BI Mobile App Experience
2. Creating Mobile-Friendly Dashboards and Reports
3. Implementing Mobile Device Management (MDM) for Power BI Mobile App
4. Mobile App Security Considerations and Best Practices

Advanced Power BI Administration

1. Power BI Tenant Settings and Governance
2. Implementing Data Policies and Compliance Controls
3. Managing App Workspaces and App Permissions
4. Advanced Power BI Admin Features and Tips

Advanced Power BI Integration

1. Integrating Power BI with Microsoft Teams for Collaborative Workspaces
2. Implementing Power BI Embedded Analytics in Custom Applications
3. Integrating Power BI with Azure Data Services (Azure Synapse Analytics, Azure Data Lake)
4. Real-Time Data Streaming and Analysis with Power BI and Azure Stream Analytics

Power BI Data Analysis and Business Intelligence

1. Using Power BI for Predictive Analytics and Machine Learning
2. Building Advanced Analytical Models with Power BI
3. Implementing Business Intelligence Solutions with Power BI
4. Data Storytelling and Visualization Best Practices