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Power BI

Microsoft Power Bi transform your company data into rich visuals that facilitate new ways of thinking about and organizing your data, so that you can focus on what is important to achieving your goals. Upcoming this course, students will have a basic understanding of Graphics of the topics below, as well as ability to utilize and implemented the concepts learned.

Microsoft Power BI

Course Overview

Microsoft Power BI Training is a practical, hands-on program designed to equip learners with the skills to transform raw data into meaningful insights through interactive dashboards and reports. The course covers data preparation, modeling, visualization, and publishing reports using Microsoft Power BI tools.

Participants will learn how to connect multiple data sources, clean and transform data, build relationships, create dynamic dashboards, and share insights effectively across an organization.

This training is ideal for professionals in business analysis, finance, operations, administration, and anyone who works with data-driven decision-making.


Course Objectives

By the end of this course, participants will be able to:

  • Understand the Power BI ecosystem and components
  • Connect to various data sources (Excel, databases, cloud services)
  • Clean, transform, and prepare data using Power Query
  • Build data models and relationships
  • Use DAX (Data Analysis Expressions) for calculations
  • Create interactive dashboards and reports
  • Apply filters, slicers, and advanced visualizations
  • Publish and share reports using Power BI Service
  • Implement basic data security and governance practices

Target Audience

  • Business Analysts
  • Data Analysts
  • Finance Professionals
  • Reporting Officers
  • Managers and Supervisors
  • Anyone interested in data visualization and business intelligence

Entry Requirements

  • Basic computer skills
  • Familiarity with Microsoft Excel is recommended but not mandatory

Microsoft Power BI Training Outline

Module 1: Introduction to Business Intelligence & Power BI

  • Understanding Business Intelligence concepts
  • Overview of Power BI ecosystem
  • Power BI Desktop vs Power BI Service vs Power BI Mobile
  • Installing and navigating Power BI Desktop

Module 2: Data Sources & Connectivity

  • Connecting to data sources:
    • Excel files
    • CSV files
    • Databases (SQL Server basics overview)
    • Web data sources
  • Data import vs direct query

Module 3: Data Cleaning & Transformation (Power Query)

  • Introduction to Power Query Editor
  • Removing errors and duplicates
  • Changing data types
  • Splitting and merging columns
  • Creating calculated columns
  • Data shaping techniques

Module 4: Data Modeling

  • Understanding data relationships
  • Creating and managing relationships
  • Star schema basics
  • Fact and dimension tables
  • Model view navigation

Module 5: DAX (Data Analysis Expressions) Basics

  • Introduction to DAX
  • Measures vs calculated columns
  • Basic functions:
    • SUM, AVERAGE, COUNT
  • Logical functions (IF, SWITCH)
  • Date and time functions
  • Basic KPIs creation

Module 6: Data Visualization

  • Types of visuals in Power BI
  • Creating charts and graphs:
    • Bar charts
    • Line charts
    • Pie charts
    • Maps
  • Tables and matrices
  • Formatting visuals
  • Conditional formatting

Module 7: Interactive Dashboards

  • Using slicers and filters
  • Drill-down and drill-through features
  • Creating interactive reports
  • Designing dashboards for business users
  • Best practices for visualization

Module 8: Power BI Service & Sharing

  • Publishing reports to Power BI Service
  • Creating dashboards online
  • Sharing reports with users
  • Workspaces overview
  • Exporting reports (PDF, PowerPoint)

Module 9: Data Refresh & Security Basics

  • Scheduled data refresh
  • Data gateways (overview)
  • Row-level security (RLS) introduction
  • Managing access permissions

Module 10: Practical Project

  • End-to-end project using real-world dataset
  • Data import → cleaning → modeling → visualization → dashboard creation
  • Presentation of final report

Assessment & Certification

  • Practical assignments during training
  • Final project evaluation
  • Certificate of Completion issued by training center

Training Duration (Recommended)

  • 20 to 40 Hours (depending on depth: Beginner / Intermediate / Corporate Advanced)

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