Power BI & Power Apps

  • Power BI Skills for the Data-Driven World
Course & Modules (Beginner to Advanced)

Objective: Understand what Power BI is and how it fits into business analytics.

  • What is Business Intelligence (BI)?
  • Introduction to Power BI ecosystem: Desktop, Service, MobileFlowcharts & Algorithms
  • Power BI vs Excel vs Tableau
  • How Power BI helps decision-making
  • Real-world use cases

Objective: Learn how to build your first Power BI report.

  • Installing & navigating Power BI Desktop
  • Overview of the interface
  • Connecting to data sources (Excel, SQL, CSV, web)
  • Data view vs Model view vs Report view
  • Saving & publishing PBIX files

Objective: Clean and prepare data before analysis.

  • Introduction to Power Query Editor
  • Importing data from different sources
  • Cleaning and transforming data:
    • Remove duplicates
    • Filter rows
    • Split/merge columns
    • Change data types
    • Pivot & unpivot data
  • Query parameters & functions
  • Refreshing data

Objective: Build relationships and logical data structures.

  • What is a data model?
  • Creating relationships between tables
  • Cardinality & cross-filter direction
  • Star schema vs Snowflake schema
  • Best practices in modeling

Objective: Learn data formulas and calculations.

  • Introduction to DAX
  • Calculated columns vs measures
  • Basic DAX functions:
    • SUM, AVERAGE, COUNTROWS
  • Time-intelligence functions:
    • YTD, MTD, QTD
  • Advanced DAX topics:
    • FILTER
    • CALCULATE
    • Variables in DAX

Objective: Build effective and interactive reports.

  • Overview of visuals (bar, line, table, matrix)
  • Custom visuals vs standard visuals
  • Using slicers & filters
  • Drill-through and bookmark navigation
  • Designing story-driven dashboards
  • Formatting best practices

Objective: Share and collaborate using Power BI online.

  • Power BI service overview
  • Publishing reports to Power BI service
  • Workspaces vs Apps
  • Sharing dashboards securely
  • Row-Level Security (RLS)
  • Scheduled refresh

Objective: Add intelligence and automation.

  • Q&A natural language queries
  • Power BI AI insights
  • Integration with Python & R
  • Using templates & custom themes
  • Custom visuals development

Objective: Use Power BI with Excel data tools.

  • Importing Excel data
  • Using Analyze in Excel
  • PowerPivot & Power Query synergy
  • Publishing Excel report to Power BI

Objective: Govern and manage Power BI for enterprises.

  • Admin portal overview
  • Tenant settings
  • Usage monitoring & audit logs
  • Security & compliance
  • Deployment pipelines
  • Power BI Premium features

Objective: Apply the full Power BI workflow.

Build a complete end-to-end project including:

  • Data sourcing & cleaning
  • Modeling & calculations
  • Dashboards with insights
  • Mock Interviews
  • Sharing & publishing
Example projects:
  • Sales performance dashboard
  • Finance KPI scorecard
  • HR attrition & hiring analytics
Who This Course Is For
  • Beginners to analytics
  • Data professionals scaling skills
  • Managers & decision-makers
  • Students preparing for BI careers
Skill Outcomes

By course end, you’ll be able to:

  • Connect & transform real data
  • Build analytical data models
  • Write advanced DAX formulas
  • Create compelling dashboards
  • Publish, share & secure reports
  • Use Power BI in enterprise environments
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