| Chapter | Title | Description |
|---|---|---|
| Ch 1 | Why Power BI? | Understand the importance of Power BI, Gartner Magic Quadrant 2024, market demand, and career opportunities. |
| Ch 2 | What is Power BI? | Overview of Power BI ecosystem – Desktop, Service, Mobile, Power Query, DAX, Workspaces, Datasets, Reports, and Dashboards. Installation guide included. |
| Ch 3 | Getting Started with Power BI Desktop | Explore the Power BI Desktop interface – Report View, Data View, Model View, settings, data load, preview features, and saving files. |
| Chapter | Title | Description |
|---|---|---|
| Ch 4 | Creating a Simple Power BI Report | Get data from the web, transform in Power Query, create column charts, and edit queries. |
| Ch 5 | Getting and Shaping Data | Create new Power BI files, import data, understand Import vs Direct Query modes, and manage data sources from OneDrive/SharePoint. |
| Ch 6 | More Data Transformations | Merge queries, establish date data types, perform calculations in Power Query, and unpivot columns. |
| Chapter | Title | Description |
|---|---|---|
| Ch 7 | Creating the Data Model | Create and manage table relationships, and hide fields from the Report view for cleaner models. |
| Ch 8 | Creating a Data Table | Introduction to DAX, create additional date columns, and sort table columns by another column. |
| Ch 9 | Adding DAX Measures | Organize measures, calculate revenue difference between months, percentage revenue change, and year-to-date totals. |
| Chapter | Title | Description |
|---|---|---|
| Ch 10 | Cards and Other Text Visuals | Create Card visuals, KPIs, Table visuals, and Matrix visuals for summarized data. |
| Ch 11 | Chart Visuals | Build Gauge Charts and Tree Map visuals for data representation. |
| Ch 12 | Using Maps in Power BI Reports | Enable map visuals, create Map visuals, and learn tips for effective geospatial analysis. |
| Ch 13 | Other Power BI Visualizations | Explore Q&A visual, Decomposition Tree, Smart Narrative, and Custom Visuals from the marketplace. |
| Chapter | Title | Description |
|---|---|---|
| Ch 14 | Reports Interactions, Filters, and Slicers | Master report interactions, apply filters, and use slicers for dynamic data exploration. |
| Ch 15 | Enhancing Your Power BI Reports | Add text boxes, images, and buttons. Create custom tooltip pages and use bookmarks for storytelling. |
| Ch 16 | Publishing and Sharing Your Reports | Publish reports to Power BI Service, access reports online, and manage datasets and reports. |
| Ch 17 | Datasets, Dashboards, and Reports | Work with workspaces, refresh datasets and reports, and create dashboards for executive views. |
| Chapter | Title | Description |
|---|---|---|
| Ch 18 | Power BI and Other Apps | Create Excel reports from Power BI datasets, import Power Pivot models, and export to PowerPoint. |
| Ch 19 | Interview Questions, Certifications, and Resources | Prepare for interviews, explore Power BI certifications, and access useful learning resources. |
| Ch 20 | Multiple Choice Questions (MCQs) | Practice with 19 question papers to test your knowledge and prepare for certification exams. |
| Skill Area | Key Takeaways |
|---|---|
| 📊 Data Visualization | Create stunning, interactive reports and dashboards |
| 🔗 Data Connectivity | Connect to Excel, SQL, Web, SharePoint, and cloud sources |
| 🧹 Data Transformation | Clean, shape, and transform data using Power Query |
| 📐 Data Modeling | Build relationships and create robust data models |
| 📈 DAX Mastery | Write powerful DAX formulas for calculations and measures |
| 📱 Dashboard Design | Design professional, user-friendly dashboards |
| 🔒 Sharing & Security | Publish, share, and manage permissions in Power BI Service |
| 💼 Career Readiness | Prepare for certifications and job interviews |
| Tool / Feature | Purpose |
|---|---|
| Power BI Desktop | Primary reporting and visualization tool |
| Power BI Service | Cloud-based sharing and collaboration |
| Power BI Mobile | View reports on mobile devices |
| Power Query | Data transformation and preparation |
| DAX (Data Analysis Expressions) | Calculations and measures |
| Power Pivot | Advanced data modeling |
| Power BI Gateway | Data refresh and connectivity |
| Module | Chapters | Focus Area |
|---|---|---|
| Module 1 | Ch 1 – 3 | Introduction, Installation, Interface |
| Module 2 | Ch 4 – 6 | Data Connection, Transformation, Power Query |
| Module 3 | Ch 7 – 9 | Data Modeling, DAX, Measures |
| Module 4 | Ch 10 – 13 | Visualizations, Charts, Maps, Custom Visuals |
| Module 5 | Ch 14 – 17 | Filters, Enhancements, Publishing, Dashboards |
| Module 6 | Ch 18 – 20 | Integration, Certifications, MCQs |
| Job Role | Average Salary (India) |
|---|---|
| Power BI Developer | ₹6–14 LPA |
| Business Intelligence Analyst | ₹7–15 LPA |
| Data Analyst | ₹5–12 LPA |
| BI Consultant | ₹10–20 LPA |
| Data Visualization Specialist | ₹8–16 LPA |
| Reporting Analyst | ₹5–10 LPA |
Data Analysts – Want to master BI and visualization
Business Professionals – Need to create data-driven reports
IT Professionals – Looking to add BI skills
Students & Freshers – Build a career in analytics
Managers & Executives – Make data-backed decisions
Excel Users – Transition from Excel to Power BI
| Certification | Level |
|---|---|
| PL-300: Microsoft Power BI Data Analyst | Associate |
| Microsoft Certified: Data Analyst Associate | Professional |
| DA-100 (Legacy) | Associate |
| Project | Description |
|---|---|
| Sales Dashboard | Track revenue, profit, and regional performance |
| HR Analytics Dashboard | Employee attrition, hiring, and diversity metrics |
| Financial Analysis Report | P&L, cash flow, and KPI tracking |
| Customer Segmentation Analysis | Analyze customer behavior and segments |
| Business KPI Dashboard | Monitor key performance indicators |
| Real-Time Analytics Dashboard | Live data monitoring and alerts |
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