Microsoft Power BI Certification Course
Combining data from multiple sources through merging and appending.
Microsoft Power BI Certification Course
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Module 1: Introduction to Power BI
Overview of Power BI and its importance in data visualization.
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Understanding Power BI components: Power Query, Power Pivot, Power View, and Power Map.
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Installation and setup of Power BI Desktop.
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Connecting to data sources: Excel, databases, online services, and more.
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Building a simple data visualization as an introduction.
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Module 2: Data Transformation and Modeling
Importing and transforming data using Power Query.
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Data cleaning, filtering, and shaping techniques.
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Introduction to data modeling with Power Pivot.
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Creating relationships between tables for analysis.
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DAX (Data Analysis Expressions) fundamentals for calculated columns and measures.
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Module 3: Creating Interactive Reports
Building basic visualizations: bar charts, line charts, pie charts, etc.
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Formatting and customizing visuals to enhance readability.
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Implementing drill-down and drill-through actions.
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Introduction to interactive features like slicers and filters.
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Designing a cohesive dashboard with multiple visuals.
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Module 4: Advanced Data Visualization
Exploring advanced visualizations: treemaps, heat maps, scatter plots, etc.
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Using custom visuals from the Power BI marketplace.
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Implementing conditional formatting and color scales.
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Creating animated visuals to show data changes over time.
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Best practices for designing effective and aesthetically pleasing visuals.
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Module 5: Power BI Service and Collaboration
Publishing reports to the Power BI Service.
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Sharing reports and dashboards with colleagues and stakeholders.
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Managing data refresh schedules and data source credentials.
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Collaborative features: commenting, annotations, and notifications.
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Introduction to Power BI apps for controlled distribution.
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Module 6: Data Insights with Q&A and Quick Insights
Using the Q&A feature to ask questions and receive visualizations.
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Enabling natural language queries for data exploration.
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Generating automatic insights using Quick Insights.
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Customizing Quick Insights to suit specific data scenarios.
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Interpreting insights and making data-driven decisions.
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Module 7: Advanced Data Modeling and DAX
Advanced DAX functions for complex calculations.
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Time intelligence functions for analyzing trends and patterns.
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Working with calculated tables and calculated measures.
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Introduction to row-level security using DAX.
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Optimizing DAX performance and troubleshooting common issues.
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Module 8: Advanced Querying and Merging Data
Advanced data transformation techniques using Power Query.
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Combining data from multiple sources through merging and appending.
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Unpivoting and pivoting data for specific analysis requirements.
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Handling complex data structures and nested queries.
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Scenario-based exercises for practical application.
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Module 9: Data Governance and Security
Implementing data security using roles and permissions.
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Row-level security for restricting data access based on user roles.
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Applying dynamic security using DAX expressions.
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Auditing and monitoring data access and usage.
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Best practices for maintaining data integrity and compliance.
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Module 10: Advanced Visualizations and Customization
Designing advanced custom visuals using Power BI's developer tools.
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Implementing advanced interactivity through drill-through and cross-filtering.
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Creating hierarchical and multi-level visuals.
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Building custom themes and templates for consistent branding.
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Advanced formatting techniques for pixel-perfect reports.
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Module 11: Data Insights and AI Integration
Integrating Power BI with Azure Cognitive Services for AI-powered insights.
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Using machine learning models within Power BI reports.
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Implementing advanced analytics using R and Python scripts.
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Visualizing and interpreting AI-generated insights.
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Exploring predictive analytics and forecasting.
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Module 12: Real-world Projects and Case Studies
Working on real-world projects involving data preparation, modeling, and visualization.
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Collaborative project work to simulate industry scenarios.
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Presenting insights and findings from the projects.
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Peer reviews and feedback sessions for continuous improvement.
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Showcasing the completed projects in a portfolio.
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