Advanced Data Analysis with Microsoft Power BI
Expert Training in Advanced Data Modeling and Visualization Techniques
Duration
3 Days (8 hours per day)
Level
Basic to Intermediate Level
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This course is designed to equip participants with an advanced understanding of Microsoft Power BI for data analysis and visualization. Participants will gain expertise in transforming raw data into meaningful insights through sophisticated data modeling, dynamic visualizations, and analytical methods. The program will cover the integration of Power BI with diverse data sources, the creation of interactive reports and dashboards, and the implementation of best practices in data governance and performance optimization. The course will also delve into advanced topics such as AI-powered visuals and the integration of Power BI with other tools and platforms to enhance data-driven decision-making.
Outcomes:
Upon completion of this course, participants will:
- Master data modeling and visualization techniques using Power BI
- Be proficient in cleaning and transforming data, building and optimizing data models, and developing interactive reports and dashboards
- Gain practical skills in advanced data analysis and reporting, including performance optimization and the use of Power BI’s AI visuals
- Understand how to integrate Power BI with external data sources and tools for enhanced data-driven insights
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- Data Analysts, Business Intelligence Professionals, and Data Scientists
- Business Analysts and Managers seeking to leverage data for strategic decision-making
- IT Professionals engaged in data modeling, reporting, and visualization tasks
- Individuals aiming to advance their expertise in data analysis and reporting with Power BI
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- Overview of Power BI Components: Desktop, Service, and Mobile
- Power BI Workflow: Data Collection, Transformation, Visualization, and Sharing
- Understanding Power BI Licensing and Environment Setup
- Navigating the Power BI Desktop Interface
- Connecting to Data Sources: Excel, CSV, SQL Server, Web Data, and More
- Introduction to Power Query Editor for Data Cleaning and Transformation
- Hands-On Lab: Importing and Cleaning Data from Multiple Sources
- Creating and Managing Relationships Between Tables
- Introduction to Star and Snowflake Schemas in Data Modeling
- Working with Calculated Columns, Measures, and Quick Measures
- Using DAX (Data Analysis Expressions) for Basic Calculations
- Hands-On Lab: Building a Data Model and Creating Basic Measures
- Advanced Data Shaping Techniques: Pivoting, Unpivoting, Grouping, and Merging Queries
- Handling Missing Data and Errors in Power Query
- Using Parameters and Functions in Power Query for Dynamic Data Sources
- Hands-On Lab: Transforming and Shaping Data using Power Query Editor
- Understanding Row Context and Filter Context in DAX
- Creating Advanced Calculations: Time Intelligence, Conditional Calculations, and Aggregations
- Using Variables and Functions in DAX for Complex Measures
- Hands-On Lab: Building Complex DAX Measures for Advanced Analysis
- Using Built-in Visualizations: Tables, Matrixes, Charts, Maps, and Gauges
- Customizing Visuals: Conditional Formatting, Tooltips, and Interactions
- Incorporating Custom Visuals from the Power BI Marketplace
- Hands-On Lab: Creating an Interactive Dashboard with Custom Visuals
- Implementing Slicers, Filters, and Drillthrough for User Interactivity
- Using Bookmarks and Selections for Enhanced Report Navigation
- Designing Reports for Mobile Viewing with Responsive Layouts
- Hands-On Lab: Building a Multi-Page Report with Interactivity and Drillthrough
- Connecting to Live Data Sources: SQL Server, Azure, and Web APIs
- Introduction to DirectQuery and Import Modes
- Hands-On Lab: Connecting to a Live Database and Integrating Data in a Power BI Report
- Introduction to Power BI Service: Workspaces, Dashboards, and Apps
- Publishing Reports from Power BI Desktop to Power BI Service
- Sharing Reports, Dashboards, and Workspaces with Users and Groups
- Implementing Row-Level Security (RLS)
- Hands-On Lab: Publishing a Report to Power BI Service and Creating a Dashboard with RLS
- Setting Up Data Refresh for Imported and Live Data Connections
- Configuring Data Gateway for On-Premises Data Sources
- Managing Data Refresh Schedules and Alerts
- Identifying Performance Bottlenecks and Best Practices for Optimization
- Using Performance Analyzer to Optimize Report Performance
- Hands-On Lab: Setting Up Automated Data Refresh and Optimizing a Report for Better Performance
- Introduction to Power BI Embedded: Integrating Reports into External Applications
- Exploring Power BI with Other Tools: Power Automate, Power Apps, and Microsoft Teams
- Overview of Advanced Analytics with AI Visuals and Python/R Integration
- Hands-On Lab: Using AI Visuals in Power BI for Advanced Data Analysis
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- Fundamental understanding of data analysis concepts
- Familiarity with Excel or similar data tools is advantageous
- Previous experience with Power BI or related tools is helpful but not required
