Model Online / On-Site
Duration
Modules 9 modules

About the Course

Microsoft Power BI Fundamentals teaches beginners in business intelligence and data visualization how to use Power BI from the ground up. The training covers connecting to data sources, foundational data modeling, and building interactive reports and visuals.

Target Audience

  • First-time Power BI users

  • Professionals looking to perform foundational data analysis and reporting

  • Users who want to visualize their Excel datasets

  • Professionals stepping into business intelligence tools

Prerequisites

  • Basic proficiency with computers and office applications

  • Prior experience working with data tables in Excel or similar tools

  • Familiarity with basic data concepts (rows, columns, tables)

  • No prior Power BI or DAX knowledge is required (covered from scratch during the training)

Learning Outcomes

  • Understand the core components and architecture of Power BI

  • Ingest data from multiple sources and prepare it for analysis

  • Clean and transform data using Power Query

  • Build data models and establish relationships across tables

  • Write foundational DAX expressions for custom calculations

  • Design interactive reports and dashboards

  • Contribute to decision-support processes through effective data visualization

Curriculum

Module 1 – Introduction to Power BI and Core Concepts
  • What Is Power BI?

  • Business Intelligence (BI) concept

  • Power BI use cases

  • Power BI Desktop, Service, and Mobile components

  • Power BI Interface

  • Report, data, and model views

  • Basic navigation and workflow

Module 2 – Connecting to Data Sources
  • Data Sources

  • Excel workbooks

  • CSV and text files

  • Connecting to databases (foundational level)

  • Data Ingestion Process

  • Importing data

  • Data refresh mechanics

Module 3 – Data Preparation with Power Query
  • Power Query Fundamentals

  • Data cleaning

  • Column and row operations

  • Transformation Operations

  • Filtering and sorting

  • Combining queries (Merge / Append)

  • Data types and resolving errors

Module 4 – Data Modeling
  • Data Model Concepts

  • Table relationships

  • Primary key and foreign key concepts

  • Modeling

  • Relationship cardinality types

  • Introduction to the Star Schema

Module 5 – Introduction to DAX
  • What Is DAX?

  • Difference between Measures and Calculated Columns

  • DAX syntax

  • Basic DAX Functions

  • SUM, AVERAGE, COUNT

  • Simple calculations and ratios

Module 6 – Reports and Visualization
  • Visual Types

  • Tables and matrices

  • Column, line, and pie charts

  • Report Design

  • Selecting effective visuals

  • Page layout and alignment

Module 7 – Interactive Dashboard Design
  • Interactivity Tools

  • Filters

  • Slicers

  • User Experience

  • Cross-filtering and visual interactions

  • Clean and readable dashboard design

Module 8 – Publishing and Sharing
  • Power BI Service

  • Publishing reports

  • Creating dashboards

  • Sharing and Security: Authorization concepts

  • Basic sharing scenarios

Module 9 – Applied Power BI Project
  • End-to-End Application

  • Data ingestion → modeling → reporting

  • Building a dashboard from a real business scenario

  • Review

  • Best practices

  • Participant Q&A and feedback

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