Absolutely! Below is a standard and detailed course outline for a Microsoft Power BI training program — suitable for corporate training, academic use, or online courses.
Course Title:
Mastering Microsoft Power BI: From Data to Insights
Course Description:
This course provides learners with in-depth, hands-on experience in using Microsoft Power BI for business intelligence and data visualization. It covers everything from importing and transforming data to creating interactive dashboards and performing advanced analytics. By the end of the course, participants will be able to transform raw data into actionable insights using Power BI.
Course Duration:
4–6 Weeks (can be adapted for a bootcamp or extended training)
Delivery Mode: In-person / Online / Hybrid
Level: Beginner to Intermediate/Advanced
Target Audience:
- Business analysts, data analysts
- Managers and decision-makers
- Students and professionals interested in BI
- IT professionals and Excel power users
Learning Outcomes:
By the end of the course, learners will be able to:
- Understand the Power BI ecosystem and its components
- Import, clean, and model data using Power Query and Power BI
- Create compelling visuals, reports, and interactive dashboards
- Use DAX (Data Analysis Expressions) for custom calculations
- Share and publish reports using the Power BI Service
- Apply best practices in report design and performance optimization
Course Outline:
Module 1: Introduction to Business Intelligence and Power BI
- What is Business Intelligence (BI)?
- Overview of Microsoft Power BI platform
- Components: Power BI Desktop, Power BI Service, Power BI Mobile
- Power BI vs Excel vs Tableau
- Installation and setup
Practical:
- Navigating the Power BI interface
- Connecting to sample data and creating your first report
Module 2: Connecting to Data Sources
- Overview of supported data sources (Excel, CSV, databases, cloud services)
- Connecting to and importing data
- Direct Query vs Import mode
- Data refresh options
Practical:
- Connecting to Excel and web data sources
- Setting up data auto-refresh
Module 3: Data Transformation with Power Query (ETL)
- Introduction to Power Query Editor
- Cleaning and transforming data
- Splitting/merging columns
- Removing duplicates and nulls
- Grouping, pivoting, and unpivoting data
- Creating custom columns
Practical:
- Cleaning sales or HR data
- Transforming messy survey data into usable format
Module 4: Data Modeling and Relationships
- Introduction to data models
- Creating and managing relationships
- Star schema vs snowflake schema
- Creating calculated columns and tables
- Understanding filter context
Practical:
- Building a relational model with multiple data sources
- Creating a custom date table
Module 5: Introduction to DAX (Data Analysis Expressions)
- What is DAX and why is it used?
- Basic DAX syntax and functions
- Calculated columns vs measures
- Common DAX functions:
SUM,AVERAGE,CALCULATE,FILTER,IF
Practical:
- Calculating year-to-date (YTD) sales
- Creating dynamic KPIs using DAX
Module 6: Creating Visualizations and Reports
- Overview of visualization types (bar, pie, matrix, cards, slicers, etc.)
- Best practices for choosing visuals
- Conditional formatting and tooltips
- Using bookmarks and drill-through filters
- Custom visuals from marketplace
Practical:
- Designing an executive sales dashboard
- Adding interactivity with slicers and buttons
Module 7: Publishing and Sharing in Power BI Service
- Publishing reports to Power BI Service
- Creating dashboards
- Sharing and collaborating
- Setting up data gateways
- Embedding reports in websites or apps
Practical:
- Publishing a project dashboard
- Sharing with organizational users
Module 8: Advanced Features and Analytics
- Creating hierarchies and drill-downs
- Using parameters
- Time intelligence functions in DAX
- Forecasting and analytics with Power BI
- Row-level security (RLS)
Practical:
- Implementing row-level security based on user roles
- Creating a sales forecast using built-in analytics
Module 9: Power BI in the Real World
- Building reports for different departments (Sales, HR, Finance)
- Common challenges in Power BI projects
- Performance optimization tips
- Governance and version control
Practical:
- End-to-end project: Building a report from raw data to insights
Capstone Project:
Students will complete a final project by selecting a real-world scenario to:
- Import and clean a dataset
- Model the data appropriately
- Create an insightful and interactive report/dashboard
- Use DAX to calculate metrics
- Publish and share the report with appropriate security
Assessment & Certification:
- Weekly hands-on assignments and quizzes
- Final project evaluation
- Certificate of Completion (with distinction for high performers)
Tools & Platforms:
- Microsoft Power BI Desktop (free download)
- Power BI Service (Pro or trial license)
- Excel / Sample datasets for practice
- Optional integration with Microsoft Teams, SharePoint, SQL Server
Resources Provided:
- Slide decks and session recordings
- Practice datasets (Sales, HR, Finance, etc.)
- Quick reference DAX guide
- Power BI report templates
- GitHub repository for course files
Course Features
- Lecture 0
- Quiz 0
- Duration 35 hours
- Skill level All levels
- Language English
- Students 26
- Assessments Yes
