Power BI Mastery: Build Smart Dashboards in Hours

Learn to create smart, interactive dashboards quickly with Power BI, transform raw data into clear insights and make confident, data-driven business decisions.
Duration: 2 Days
Hours: 6 Hours
Training Level: All Levels
Batch One
Monday, April 13, 2026
12:00 PM - 03:00 PM (Eastern Time)
Batch Two
Wednesday, May 20, 2026
12:00 PM - 03:00 PM (Eastern Time)
Batch Three
Wednesday, June 10, 2026
12:00 PM - 03:00 PM (Eastern Time)
Live Session
Single Attendee
$249.00 $416.00
Live Session
Recorded
Single Attendee
$299.00 $499.00
6 month Access for Recorded
Live+Recorded
Single Attendee
$349.00 $583.00
6 month Access for Recorded

About the Course:

This instructor-led training program provides a comprehensive introduction to Microsoft Power BI Desktop, one of the most powerful tools for business intelligence and data analysis. Learners will gain hands-on experience connecting to data sources, cleaning and transforming data, building data models, creating DAX calculations, and designing interactive dashboards. The progressive day-by-day structure ensures that learners build a strong foundation before advancing to more complex BI and reporting concepts.

Course Objectives:

  • Understand the purpose and components of the Power BI platform.
  • Connect to a variety of data sources and import datasets.
  • Perform data preparation and transformation using Power Query.
  • Build structured data models with appropriate relationships.
  • Create calculated columns and measures using DAX.
  • Develop professional, interactive visualizations and dashboards.
  • Publish, share, and manage reports through Power BI Service.
  • Apply best practices for data modeling, visualization, and BI governance.

Who is the Target Audience?

  • Business Analysts & Data Analysts.
  • Finance, HR, Sales, and Operations Professionals.
  • Managers and Decision-Makers.
  • Aspiring Data Professionals.
  • Students and Beginners entering the BI field.
  • Anyone who wants to create meaningful dashboards and data models with Power BI.

Basic Knowledge:

  • Basic computer literacy. Familiarity with Excel or basic data concepts (helpful but not required). 
  • No prior Power BI experience needed.

Curriculum
Total Duration: 6 Hours
Power BI Fundamentals & Data Preparation

  • Module 1: Introduction to Power BI
    • What is Business Intelligence?
    • Power BI ecosystem (Desktop, Service, Mobile)
    • Installing & exploring Power BI Desktop
    • Understanding workspaces and environment
  • Module 2: Connecting to Data Sources
    • Importing data from Excel, CSV, databases, and online sources
    • Data types and basic field formatting
    • Import vs. DirectQuery modes
  • Module 3: Data Transformation with Power Query
    • Power Query interface
    • Cleaning data: remove errors, fill values, filter rows
    • Splitting, merging, and modifying columns
    • Append vs. Merge queries
    • Practical transformation examples

Data Modeling & DAX Essentials

  • Module 4: Data Modeling
    • Understanding relationships (one-to-many, many-to-one)
    • Star schema basics
    • Creating & managing relationships
    • Hierarchies, data categories, and best modeling practices
  • Module 5: Introduction to DAX
    • What is DAX?
    • Difference between measures and calculated columns
    • Core DAX functions: SUM, AVERAGE, COUNTROWS, RELATED
    • Introduction to CALCULATE
    • Time Intelligence basics (YTD, MTD, previous period) 
    • Hands-on DAX demos

Visualization, Dashboards & Publishing

  • Module 6: Creating Visualizations & Reports
    • Visual types and when to use them
    • Creating charts, tables, slicers, maps, and KPIs
    • Drill-down, drill-through, and tooltips
    • Bookmarks and page navigation
    • Dashboard design best practices
  • Module 7: Publishing & Sharing Reports
    • Publishing to Power BI Service
    • Creating dashboards in the cloud
    • Dataset refresh scheduling; Sharing, collaboration & permissions
    • Introduction to Row-Level Security (RLS)
  • Module 8: Wrap-Up & Final Q&A
    • Recap
    • Common mistakes & how to avoid them
    • Recommended learning path