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Foundations of Power BI for Strategic Decision-Making

Orientation: Power BI Ecosystem and Value for Entrepreneurs and Data Scientists

Installing, Configuring, and Navigating Power BI Desktop

Connecting to Data: Power Query Basics and Data Access Strategies

Data Preparation with Power Query (M)

Data Modeling and DAX for Insight Generation

Dimensional Modeling and Relationships in Power BI

Core DAX for Business Metrics

Advanced DAX Patterns and Performance Optimization

Calculation Groups and Analytical Scenarios

Interactive Reporting and Visual Analytics

Designing Effective Reports and Dashboards

Advanced Visuals and Custom Visual Ecosystem

Power BI for Data Science and Predictive Insights

Deployment, Governance, and Enterprise-Grade Operations

Publishing, Workspaces, and App Distribution

Security, Governance, and Compliance

Performance Tuning and Cost Management

Applied Capstone and Knowledge Checks

Capstone: Build an End-to-End Power BI Solution

Quiz: Foundations and Setup

Quiz: Data Connectivity and Power Query

Quiz: Data Modeling Principles

Quiz: Core DAX and Time Intelligence

Quiz: Advanced DAX and Performance

Quiz: Visual Design and Interactivity

Quiz: Service, Security, and Governance

Quiz: Performance, Refresh, and Cost Optimization

Survey: Course Feedback and Next Steps

Power BI Mastery: From Proficiency to Expert-Level Analytics is a comprehensive, hands-on program designed to accelerate your journey from competent report builder to trusted analytics leader. Built for entrepreneurs, analysts, and data scientists, this course takes you end-to-end—data connectivity and shaping with Power Query, star-schema modeling and DAX for robust, reusable metrics, interactive visual design that drives action, and enterprise-grade deployment with governance, security, and cost control. You’ll learn when to use Import vs. DirectQuery, how to optimize models for performance and scale, and how to communicate insights with clarity using advanced visuals, AI features, and storytelling best practices. Along the way, you’ll practice real-world scenarios: incremental refresh for large datasets, row-level security for safe sharing, calculation groups for consistent time intelligence, and deployment pipelines for reliable lifecycle management. The capstone project ties everything together as you build a complete solution—from problem definition and data modeling to app publication—ready for executive consumption. Whether you’re standardizing KPIs, enabling self-service BI, or modernizing analytics in the Microsoft ecosystem, this course equips you with the skills, patterns, and governance know-how to deliver fast, accurate, and scalable insights that inform strategic decision-making.

Power BI Mastery: From Proficiency to Expert-Level Analytics

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            <p>Power BI Mastery: From Proficiency to Expert-Level Analytics is designed to elevate practitioners from competent report builders to architects of enterprise-grade decision systems. Framed for entrepreneurs seeking operational clarity, data scientists aiming to operationalize analytics, and BI professionals responsible for scalable governance, the course begins by situating Power BI within the Microsoft data stack and clarifying the distinct roles of Desktop, Service, and Mobile. You will establish a strategic foundation around licensing models, data culture, and self-service governance, then progress to installing and configuring Power BI Desktop with performance-aware settings, disciplined project organization, and collaboration practices that withstand real-world version control demands.</p>

<p>From the outset, you will learn to connect to diverse data sources with optimal access modes—Import, DirectQuery, and Live Connection—balancing latency, scale, and modeling flexibility. Through Power Query, you will shape and standardize data with robust M transformations, implement parameters and privacy levels, and leverage query folding and diagnostics for performance. The modeling track advances from star schema fundamentals and relationship design to applied DAX—first establishing context, core functions, and time intelligence, then moving into advanced patterns including semi-additive measures, virtual tables, and many-to-many solutions. You will extend semantic models with calculation groups for time and formatting, run scenario analyses with what-if parameters, and plan for multilingual and multi-currency needs under shared governance.</p>

<p>On the visual analytics side, you will engineer reports that answer specific business questions through sound visual grammar, theming, and navigation techniques, while enabling depth via drill-through, tooltips, hierarchies, and small multiples. You will explore advanced and AI-assisted visuals, field parameters for dynamic analysis, and custom visual ecosystems—including Deneb/Vega-Lite—for tailored storytelling. For data science integration, the course contrasts feature engineering in Power Query versus DAX, introduces R and Python visuals, and provides strategies to communicate uncertainty and model results credibly to executives.</p>

<p>The enterprise operations sequence covers publishing workflows, workspace roles, and app distribution; establishes reliable refresh pipelines using gateways and incremental refresh; and leverages usage metrics, endorsement, and deployment pipelines for lifecycle management. Security and compliance are treated as first-class concerns via row-level and object-level security, sensitivity labels, DLP, audit logs, and tenant governance. You will tune performance using aggregations, encoding strategies, VertiPaq analysis, and query caching, while aligning architecture decisions with cost models across Pro and Premium capacities. The capstone consolidates learning in an end-to-end solution—from defining the business problem and modeling a star schema to authoring measures, designing a multi-page report, publishing with RLS, and distributing as an app—validated by targeted quizzes and a final survey to guide your next development milestones.</p>
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