Mastering Power BI – Data Visualization & Business Intelligence 4. Power BI Interface overview
Mastering Power BI – Data Visualization & Business Intelligence
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🔷 Module 1: Introduction to Power BI
1. What is Power BI and why use it?
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2. Components: Desktop, Service, Mobile
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3. Installing Power BI Desktop
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4. Power BI Interface overview
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🔷 Module 2: Data Sources and Importing Data
1. Supported data sources: Excel, CSV, SQL, Web, APIs
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2. Data connectivity and importing techniques
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3. Direct Query vs Import Mode
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4. Data refresh basics
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🔷 Module 3: Data Cleaning with Power Query
1. Power Query Editor overview
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2. Handling missing data, filtering, replacing
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3. Splitting, merging columns
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4. Appending and merging queries
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🔷 Module 4: Data Modeling
1. Understanding relationships
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2. Star vs Snowflake schema
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3. Creating and managing relationships
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4. Building a Date table and hierarchies
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🔷 Module 5: DAX (Data Analysis Expressions)
1. Introduction to DAX
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2. Measures vs Calculated Columns
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3. Time Intelligence (YTD, MTD, etc.)
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4. Aggregation and logical functions
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🔷 Module 6: Visualizations
1. Bar, Line, Pie, Card, Table, Maps
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2. Formatting visuals professionally
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3. Using slicers, filters, and tooltips
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4. Custom visuals from marketplace
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🔷 Module 7: Interactive Dashboards
1. Creating drill-down and drill-through reports
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2. Bookmarks and buttons
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3. Sync slicers and report navigation
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4. Report themes and templates
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🔷 Module 8: Power BI Service (Cloud)
1. Publishing reports to the Power BI Service
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2. Creating and managing workspaces
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3. Sharing and collaborating on dashboards
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4. Scheduling data refreshes
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🔷 Module 9: Advanced Features
1. Row-Level Security (RLS)
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2. What-if Parameters
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3. Q&A Visual
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4. Custom Tooltips and KPI Indicators
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🧑‍💻 Advanced Internship Projects – Power BI
🟢 Project 1: Sales Performance Dashboard
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🟢 Project 2: HR Analytics Report
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🟢 Project 3: Financial Insights for a Startup
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