Power BI – Data Analysis Using Microsoft Power BI

Overview

This course provides a comprehensive, hands-on introduction to Microsoft Power BI—one of the world’s leading tools for business intelligence and data analysis.
Throughout the program, participants will learn how to import, clean, model, and visualize data using professional techniques that support informed decision-making.
By the end of this course, learners will be able to build interactive dashboards, design insightful reports, and transform raw data into meaningful insights that add real value to any organization.

Course Curriculum

  • What is Power BI and why is it used?

  • Power BI components (Power BI Desktop, Power BI Service, Power BI Mobile)

  • Understanding the data journey: from source to report

  • Navigating the Power BI interface and essential tools

  • Importing data from Excel and CSV files

  • Connecting to databases (SQL Server, Access, Web)

  • Understanding data types and tables

  • Combining multiple data sources

  • Using the Power Query Editor

  • Filtering data, handling errors, and fixing missing values

  • Changing data types and managing rows and columns

  • Creating custom tables and merging/appending datasets

  • Understanding table relationships (Relationships)

  • Building an efficient data model using the Star Schema

  • Working with calculated tables

  • Using DAX (Data Analysis Expressions) to create formulas

  • Core DAX concepts

  • Aggregation functions (SUM, AVERAGE, COUNT, DISTINCTCOUNT)

  • Logical and conditional functions

  • Time intelligence functions (Date & Time calculations)

  • Creating KPIs and performance indicators

  • Designing interactive and visually appealing reports

  • Using filters and slicers

  • Creating charts, visuals, and maps

  • Customizing colors, titles, and labels

  • Publishing and sharing reports via Power BI Service

Outcomes

This course aims to empower participants with the skills needed to analyze and visualize data professionally using Microsoft Power BI.
Learners will gain hands-on experience in importing data, cleaning and transforming it, building data models, and creating intelligent dashboards to support strategic decision-making.

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