This Power BI course helps you understand how modern businesses transform data into clear, meaningful dashboards. You’ll start by learning the Power BI ecosystem, from Desktop to Service, and how data moves through the workflow. You’ll explore the interface, connect different data sources and create simple visual reports that highlight essential insights.
Power BI
Turn Raw Data Into Insightful Stories With Power BI
As you progress, you’ll work with Power Query to clean, shape and prepare real datasets. You’ll learn how to build reliable data models using fact and dimension tables, create relationships and apply best practices for performance. The course also covers DAX, where you’ll build calculated columns, measures and advanced formulas used in professional analytics teams.
In the final phase, you’ll learn how to design interactive dashboards, publish them to the Power BI Service and manage refresh schedules, workspaces and security. You’ll practice building real business reports and follow a structured approach to analytics storytelling. By the end, you’ll be confident in creating dashboards that help teams make better decisions and drive measurable outcomes.
Course Overview
This Power BI Course Curriculum is designed to take students from beginner to expert level.
It covers the entire Power BI ecosystem — from understanding the basics of data handling to advanced modeling, DAX functions, dashboarding, and enterprise-level deployment using Power BI Service.
Each module includes:
- ✔Core Content
- ✔Practical Task
- ✔Pro Tip
- ✔Learning Outcome
This Power BI Course Curriculum is designed to take students from beginner to expert level.
Module 1 – Introduction to Power BI
Core Content
- ➤ What is Power BI? Overview and key features
- ➤ Understanding Business Intelligence concepts and importance
- ➤ Power BI Components: Desktop, Service, Mobile App, Gateway
- ➤ Power BI Architecture and Workflow
- ➤ Power BI Building Blocks (datasets, reports, dashboards, workspaces)
- ➤ Installation and setup
- ➤ Power BI Desktop Interface: Home, Report, Data, and Model views
- ➤ Flow of Work in Power BI
Practical Task
Install Power BI Desktop, connect to an Excel dataset, and create your first report visualization.
Pro Tip
Always define KPIs and your target audience before starting dashboard creation.
Learning Outcome
Understand Power BI’s environment and workflow for data analysis.
Module 2 – Data Extraction & Connectivity
Core Content
- ➤ Data source overview
- ➤ Connecting to Excel, CSV, PDF, database, web, OData, folder
- ➤ Import vs DirectQuery vs Live Connection
- ➤ Power Query Editor and Advanced Editor
- ➤ Query Dependencies and Data Source Settings
Practical Task
Connect to Excel and SQL datasets, use Import vs DirectQuery, and refresh your dataset.
Pro Tip
Import mode is best for static reports; DirectQuery is for live, real-time updates.
Learning Outcome
Confidently connect multiple data sources and prepare them for transformation.
Module 3 – Data Cleaning & Transformation
Core Content
3.1 Shaping & Filtering
- ➤ Rename, reorder, remove, sort, and filter data columns
- ➤ Remove duplicates and blank rows
3.2 Data Cleaning
- ➤ Change data types
- ➤ Replace values, text/number/date transformations
- ➤ Fill up/down, promote headers, group data
3.3 Data Mashup
- ➤ Duplicate, split, merge, append tables
- ➤ Create custom and index columns
- ➤ Pivot, unpivot, transpose data
- ➤ Data profiling and parameter creation
Practical Task
Clean and combine multiple regional data files into one unified dataset.
Pro Tip
Rename and label each transformation step clearly for easier troubleshooting.
Learning Outcome
Master Power Query to transform raw, unstructured data into analysis-ready form.
Module 4 – Data Modelling & Relationships
Core Content
- ➤ Data Modeling fundamentals
- ➤ Fact vs Dimension tables
- ➤ Star vs Snowflake schema
- ➤ Creating and managing relationships
- ➤ Handling cardinality and filter direction
- ➤ Dealing with inactive and many-to-many relationships
- ➤ Model optimization techniques
Practical Task
Design a star schema model linking Sales, Product, and Customer tables.
Pro Tip
Use star schemas — they make DAX simpler and reports faster.
Learning Outcome
Design optimized, scalable data models that power reliable analytics.
Module 5 – Advanced DAX and Calculations
Core Content
- ➤ DAX Syntax and Context (Row vs Filter)
- ➤ Calculated Columns, Measures, Tables
- ➤ DAX Operators and Logical Expressions
- ➤ Aggregations: SUM, COUNT, AVERAGE
- ➤ Iterators: SUMX, AVERAGEX, COUNTX
- ➤ Filter Functions: CALCULATE, FILTER, ALL, ALLEXCEPT
- ➤ Relationship Functions: RELATED, USERELATIONSHIP, CROSSFILTER
- ➤ Time Intelligence: YTD, QTD, MTD, PREVIOUSYEAR, NEXTMONTH
- ➤ Ranking, cumulative totals, KPIs
Practical Task
Create YTD Sales, Profit Margin, and Growth Rate measures using DAX.
Pro Tip
Test every measure in a simple table first — DAX context can change outputs drastically.
Learning Outcome
Develop strong DAX skills for complex calculations and dynamic analysis.
Module 6 – Data Visualization & Dashboards
Core Content
- ➤ Types of visuals: Table, Matrix, KPI, Card, Chart, Map, etc.
- ➤ Customizing visuals and themes
- ➤ Filters, slicers, and hierarchy-based analysis
- ➤ Drill-through and bookmarks
- ➤ Page navigation, buttons, and selection pane
- ➤ Conditional formatting and custom tooltips
- ➤ Power BI Q&A and AI visuals
Practical Task
Design an interactive, multi-page dashboard showing sales and profit performance.
Pro Tip
Focus on clarity and storytelling — each page should communicate one clear message.
Learning Outcome
Build visually compelling, interactive dashboards that drive actionable insights.
Module 7 – Power BI Service, Security & Deployment
Core Content
- ➤ Power BI Service Overview
- ➤ Workspaces, Reports, Dashboards, Apps
- ➤ Power BI License Types (Free, Pro, Premium)
- ➤ Publishing and sharing reports
- ➤ Scheduling data refreshes
- ➤ Data Gateway setup and management
- ➤ Deployment pipelines: Dev → Test → Prod
- ➤ Row-Level Security (RLS): static & dynamic
- ➤ Collaboration in Service
- ➤ Usage metrics, alerts, and subscriptions
Practical Task
Publish a Power BI dashboard to Service, configure refresh, set RLS for departments.
Pro Tip
Always separate environments — keep development and production dashboards independent.
Learning Outcome
Deploy, secure, and manage enterprise-level Power BI reports confidently.
Capstone Projects & Interview Preparation
Capstone Projects
- Healthcare Analytics Dashboard — analyze patient admissions and outcomes.
- HR Analytics Dashboard — explore workforce trends and attrition.
- Sales Performance Dashboard — measure sales, profit, and forecasts.
Interview & Career Preparation
- • Resume building for BI roles
- • Mock interviews with analytics experts
- • Dashboard storytelling practice
- • Portfolio and GitHub setup guidance
Outcome
Graduate with practical project experience, a professional portfolio, and interview confidence.
Completion Outcome
By completing this course, learners will:
- • Master Power BI Desktop, DAX, and Service.
- • Design interactive dashboards end-to-end.
- • Be job-ready for roles like Power BI Developer, BI Analyst, or Data Analyst.
Prepared & Designed by KASTRA Technologies
Empowering Minds. Enabling Technology.
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