🔵 This service is designed to help learners master Power BI dashboard creation and data visualization from basics to advanced levels.
🟢 It focuses on transforming raw data into interactive, insightful, and business-ready dashboards using Power BI Desktop and Power BI Service.
🟣 Learners gain hands-on experience with Power Query, DAX functions, charts, maps, KPIs, and advanced visuals.
🟠The course emphasizes real-world business scenarios, enabling users to design dashboards that support data-driven decision-making.
🟡 By the end of this service, learners will be confident in connecting data sources, modeling data, visualizing trends, and publishing dashboards for collaboration.
🟢 Understand Business Intelligence concepts and how dashboards drive decisions
🔵 Create interactive dashboards using charts, tables, slicers, and filters
🟣 Master Power Query & DAX for data transformation and calculations
🟠Visualize trends and KPIs using advanced visuals like maps, waterfall, scatter, and ribbon charts
🟡 Design professional reports suitable for business, finance, and analytics roles
🔴 Connect Power BI Desktop with Power BI Service for sharing and collaboration
🟤 Work on real-world datasets, including financial and sales analysis
🔵 Enhance career opportunities in Data Analytics, Business Intelligence, and Reporting
🟣 Build confidence in presenting data visually and telling stories with data
🔵 Module 1: Power BI – Introduction & Setup
🟢 What is Business Intelligence (BI)?
🟣 Rise of Microsoft Power BI as a data analytics powerhouse
🟠Key components of Power BI
🟡 Practical applications of Power BI
🔵 Installing Power BI on Windows
🟢 Understanding Power BI data sources and their types
🟣 Differences between Microsoft Power BI and SSRS
🟠Power BI Free vs Pro vs Premium (feature comparison)
🟣 Module 2: Power BI – Practical Applications
🟢 Financial sales analysis using Power BI
🟠Real-world business reporting scenarios
🔵 Creating insights from financial datasets
🟠Module 3: Power BI – Query Editor & Data Preparation
🔵 Editing data in Power BI App
🟢 Introduction to Power Query Editor
🟣 Working with DAX date functions
🟠Adding conditional columns
🟡 Using DAX aggregate functions
🔵 Power BI and Excel integration
🟡 Module 4: Power BI – Dashboard Visualization (Basics)
🔵 Dashboard introduction in Power BI
🟢 Understanding dashboard actions
🟣 Creating a stacked bar chart
🟠Adding reports to dashboards
🟡 Applying report-level filters
🔵 Formatting matrix visuals
🟢 Using slicers for interactive filtering
🟣 Formatting cards and multi-row cards
🔴 Module 5: Power BI – Maps & Hierarchical Visuals
🟠Creating map visuals
🟢 Formatting map visuals
🔵 Creating tree map visuals
🟣 Formatting tree map visuals
🟡 Creating filled maps
🔴 Formatting filled maps
🟢 Creating shape maps
🟤 Module 6: Power BI – Advanced Dashboard Visuals
🔵 Creating and formatting tables
🟢 Creating stacked column charts
🟣 Formatting stacked column charts
🟠Creating 100% stacked column charts
🟡 Creating 100% stacked bar charts
🔴 Formatting stacked bar charts
🟢 Creating stacked area charts
🟣 Formatting area charts
🟠Creating radial gauge charts
🟢 Module 7: Power BI – KPI & Performance Dashboards
🔵 Understanding Key Performance Indicators (KPIs)
🟣 Designing KPI dashboards
🟠Visualizing performance metrics effectively
🔵 Module 8: Power BI Desktop & Service Integration
🟢 Connecting Power BI Desktop with Power BI Service
🟣 Publishing dashboards and reports
🟠Sharing and collaboration in Power BI Service
🟣 Module 9: Power BI – Comparative & Trend Visuals
🟢 Formatting clustered bar charts
🟠Creating waterfall charts
🔵 Formatting waterfall charts
🟣 Creating scatter charts
🟢 Formatting scatter charts
🟡 Showing trends using line charts
🔴 Formatting line charts
🟠Module 10: Power BI – Circular & Distribution Charts
🟢 Formatting donut charts
🟣 Formatting pie charts
🟠Formatting ribbon charts
🔴 Module 11: Power BI – R Script Visuals
🟢 Introduction to R script visuals
🔵 Creating R script visuals in Power BI
🟡 Module 12: Power BI – Combo Charts
🟢 Line and stacked column charts
🟣 Formatting line and stacked column charts
🟠Line and clustered column charts
🔵 Formatting line and clustered column charts