Power BI Data Analyst
Description
Outline
Curriculum
Materials
Reviews
Course Overview:
This course empowers professionals to turn data into actionable insights using Power BI. Designed for data analysts and business users, it covers the full data analysis lifecycle—from data preparation and modeling to report design, publishing, and advanced analytics. Participants will gain hands-on experience with Power BI, DAX, Copilot, and Microsoft Fabric, preparing them for real-world projects and the Microsoft PL-300 certification.
Course Objectives:
By the end of this course, learners will be able to:
- Prepare and transform data from diverse sources
- Model data using star-schema design and DAX
- Build and share interactive dashboards and reports
- Apply advanced analytics including AI visuals and clustering
- Manage, secure, and automate content in Power BI Service
- Leverage Copilot and Microsoft Fabric for end-to-end analytics
- Demonstrate skills through a hands-on capstone project
Introduction to Data Analytics & Power BI
Learn the fundamentals of data analysis and how Power BI fits into the modern data ecosystem.
- Discover data analysis and analyst roles
- Tasks of a data analyst
- Power BI services and applications
- Creating visuals and reports
- Business efficiency with Power BI
Data Preparation & Transformation
Master data import, cleaning, and transformation techniques in Power BI.
- Connecting to data sources
- Storage modes and performance
- Data import error resolution
- Cleaning and transforming data
- Naming conventions and shaping data
Data Modeling with DAX
Design semantic models and use DAX for calculated measures and performance optimization.
- Star schema design and relationships
- DAX syntax and calculated columns
- Filter context and time intelligence
- Visual calculations and parameters
- Performance optimization with variables
Designing Interactive Reports
Create engaging and interactive reports with advanced visuals and navigation features.
- Report structure and visual types
- Formatting and configuring visuals
- Navigation, bookmarks, and drill-through
- Paginated reports and user experience
- Advanced analytics: clustering, trends
Managing & Publishing Reports
Learn how to manage workspaces, publish reports, and implement security.
- Workspace creation and permissions
- Sharing and distributing reports
- Semantic model management
- Scheduled and incremental refresh
- Dashboard creation and mobile view
- Row-level security (static and dynamic)
Power BI Copilot & Microsoft Fabric Overview
Explore AI-powered features in Power BI and the Microsoft Fabric ecosystem.
- Copilot for report creation and summaries
- Semantic model requirements
- End-to-end analytics with Microsoft Fabric
- Data team roles and Fabric enablement
Capstone Project
Participants will complete a hands-on project demonstrating their Power BI skills.
- Data preparation and modeling
- Report design and publishing
- Use of DAX and advanced analytics
- Dashboard creation and security setup
Curriculum
- 7 Sections
- 34 Lessons
- 10 Weeks
Expand all sectionsCollapse all sections
- Introduction to Data Analytics & Power BILearn the fundamentals of data analysis and how Power BI fits into the modern data ecosystem.5
- Data Preparation & TransformationMaster data import, cleaning, and transformation techniques in Power BI.5
- Data Modeling with DAXDesign semantic models and use DAX for calculated measures and performance optimization.5
- Designing Interactive ReportsCreate engaging and interactive reports with advanced visuals and navigation features.5
- Managing & Publishing ReportsLearn how to manage workspaces, publish reports, and implement security.6
- Power BI Copilot & Microsoft Fabric OverviewExplore AI-powered features in Power BI and the Microsoft Fabric ecosystem.4
- Capstone ProjectParticipants will complete a hands-on project demonstrating their Power BI skills.4
Features
- Hands-on labs and real-world datasets after every module
- Interactive quizzes to reinforce key concepts
- Capstone project with instructor feedback
- PL-300-style labs and exam preparation
- Certification upon successful completion
Target Audiences
- Data analysts and BI professionals working with on-prem or cloud data
- Business users transitioning into data-focused roles
- Individuals preparing for the Microsoft PL-300 (Power BI Data Analyst Associate) exam
Requirements
- Basic understanding of Excel or data analysis concepts
- Familiarity with business intelligence tools (Optional)
- Access to a laptop or desktop with internet connection
- Power BI Desktop installed (Optional)
- Willingness to engage in hands-on labs and project work
Rounds
Login with your site account
Not a member yet? Register now
Register a new account
Are you a member? Login now