Advance Power BI Analytics with Generative AI

Module 1: Power BI Fundamentals

• Power BI ecosystem overview (Desktop, Service, Mobile)

• Installing & configuring Power BI Desktop

• Connecting to data sources: Excel, CSV, SQL, Web, APIs, SharePoint, Cloud

• Import vs DirectQuery vs Live Connection

• Data refresh, gateways, and scheduling

• Best practices for scalable BI solutions

Module 2: Data Cleaning & Transformation (Power Query)

• Data cleaning techniques (nulls, duplicates, errors)

• Data shaping, merging, appending, splitting columns

• Creating reusable queries & parameters

• ETL best practices for analytics projects

• Automating data refresh workflows

• Power Query performance optimization

Module 3: Data Modeling & DAX

• Creating optimized relationships

• Star & snowflake schema design

• Calculated columns, measures, and tables

• DAX fundamentals to advanced

• Time intelligence functions (YTD, MTD, YoY, MoM)

• Performance tuning for large datasets

Module 4: Data Visualization & Dashboard Creation

• Choosing the right visuals for business use cases

• Interactive dashboards with slicers, filters & drill-through

• KPI cards, maps, charts, tables, and custom visuals

• Bookmarks, tooltips, and dynamic reporting

• Data storytelling & UX best practices

• Executive-level dashboard design

Module 5: Advanced Analytics & AI Features

• Forecasting & trend analysis

• Anomaly detection & pattern recognition

• Key Influencers & Decomposition Tree

• Smart Narratives (auto insights)

• Q&A visual using natural language

• AI-driven decision support dashboards

Module 6: GenAI Integration with Power BI

• Introduction to GenAI for analytics (no prior knowledge needed)

• Microsoft Copilot for Power BI

  • Generate visuals using natural language

  • Auto-create DAX measures

  • Explain insights using AI

• AI-assisted storytelling for business users

• Conversational analytics (ask questions to data)

Module 7: Automation with AI & Power Platform

• Power Automate + Power BI integration

• AI-triggered alerts & notifications

• Automated refresh & report distribution

• Smart workflows for business analytics

• Using AI to reduce manual reporting effort

Module 8: Hands-On Projects & Real Business Case Studies

• End-to-end Power BI projects

• Sales, finance, HR, operations dashboards

• AI-powered business insights

• Capstone project with GenAI features

• Project reviews & mentor feedback

• GitHub & portfolio integration

🔹 Module 9: Live Training & One-to-One Mentoring

• Live mentor-led interactive sessions

• 1:1 mentorship & doubt clearing

• Personalized learning roadmap

• Career guidance based on your goal

• Continuous support until job-ready

Module 10: Interview Preparation( if enroll separately)

• Power BI & DAX interview questions

• Scenario-based analytics problems

• Mock interviews with expert feedback

• Resume building with AI + Power BI projects

• LinkedIn optimization for recruiter visibility

• Job application strategy & guidance

Program Outcome

By the end of this program, you will:

• Build AI-powered dashboards

• Use GenAI tools confidently in analytics

• Create industry-level Power BI projects

• Crack Power BI interviews with confidence

• Be ready for Power BI Analyst, BI Developer, Data Analyst, and Analytics Consultant roles