Harnessing the Power of Data with Power BI By Microsoft Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview: This course provides a beginner-friendly introduction to data analysis and visualization using Microsoft Power BI. Designed by Microsoft and hosted on Coursera, it guides learners through the foundational concepts of data-driven decision-making and the practical use of Power BI for transforming raw data into meaningful insights. The course spans approximately 16 hours of content across several modules, combining instructional videos, hands-on exercises, and a final project. Learners will gain practical experience with Power BI tools, data transformation techniques, and visualization best practices. Lifetime access ensures flexibility, and successful completion awards a certificate to support career advancement in data roles.
Module 1: Data Analysis in Business
Estimated time: 8 hours
- Understand the role of data in driving business decisions and outcomes
- Identify key stages in the data analysis process
- Recognize the skills and tools utilized by Power BI data analysts
- Explore real-world applications of data analysis in business contexts
Module 2: Introduction to Power BI
Estimated time: 5 hours
- Familiarize yourself with the components and functionalities of Microsoft Power BI
- Learn how Power BI supports data visualization and reporting
- Generate basic visualizations using sample datasets
- Identify stakeholders and define data needs for business scenarios
Module 3: The Right Tools for the Job
Estimated time: 5 hours
- Explore data collection methods and common data sources
- Understand the ETL (Extract, Transform, Load) process in data workflows
- Introduction to Power Query for data transformation
- Hands-on practice in evaluating and cleaning data for analysis
Module 4: Working with Data in Power BI
Estimated time: 4 hours
- Import and connect to various data sources in Power BI
- Apply data transformation techniques using Power Query Editor
- Structure data models for effective analysis
Module 5: Creating Visualizations and Insights
Estimated time: 4 hours
- Design interactive reports and dashboards
- Choose appropriate chart types based on data and audience
- Apply formatting and filtering to enhance visualization clarity
Module 6: Final Project
Estimated time: 3 hours
- Apply learned skills to analyze a real-world dataset
- Create a comprehensive Power BI report with visualizations
- Generate actionable insights and present findings effectively
Prerequisites
- Basic understanding of data concepts
- Access to Microsoft Power BI (free version recommended)
- Familiarity with spreadsheet software such as Excel
What You'll Be Able to Do After
- Explain how data influences business decisions
- Use Power BI to connect, transform, and model data
- Create interactive visualizations and dashboards
- Apply ETL principles using Power Query
- Demonstrate data analysis skills through a portfolio-ready project