About This Course
The Microsoft Power BI Data Analyst course is designed for professionals who want to transform data into meaningful insights through powerful dashboards, reports, and visualizations. Participants will learn how to prepare, model, analyze, and visualize data using Microsoft Power BI, while developing the skills needed to support data-driven decision-making. Through practical exercises and real-world business scenarios, learners will gain expertise in Power Query, DAX, dashboards, reporting, automation, governance, and advanced analytics.
Data Visualization
Create powerful charts, dashboards, and interactive reports that transform raw data into business insights.
Data Modeling
Build efficient data models, establish relationships, and prepare datasets for advanced analysis.
DAX Analytics
Use Data Analysis Expressions (DAX) to create calculations, measures, and advanced business metrics.
Business Intelligence
Deliver actionable insights through reporting, automation, advanced analytics, and data storytelling.
Course Curriculum
• Introduction to Microsoft Power BI
• Power BI Components and Capabilities
• Power BI Interface Navigation
• Data Analysis Fundamentals
• Business Intelligence Concepts
• Connecting to Data Sources
• Files, Databases, and Cloud Services
• Power Query Editor
• Data Cleaning Techniques
• Data Transformation Processes
• Data Modeling Fundamentals
• Data Relationships
• Star Schema Design
• Calculated Columns
• Measures and Model Optimization
• Basic Visualizations
• Charts and Graphs
• Tables and Matrices
• Custom Visuals
• Interactive Visual Design
• Dashboard Design
• Interactive Reports
• Filters and Slicers
• Drill-Through Actions
• Report Organization
• Introduction to DAX
• Calculated Columns
• Measures
• DAX Functions
• Advanced Calculations
• Publishing Reports
• Power BI Service
• Sharing and Collaboration
• Permissions Management
• Power BI Apps
• Data Refresh Configuration
• Power BI Gateway
• Scheduled Refresh
• Automation Techniques
• Monitoring Data Sources
• Advanced Visualizations
• Hierarchical Visuals
• Matrix Reports
• Drill-Down Features
• Advanced Reporting Techniques
• Data Storytelling
• Presenting Insights
• Narrative Reporting
• Audience-Focused Dashboards
• Business Communication with Data
• Real-World Business Scenarios
• Data Analysis Projects
• Practical Case Studies
• Business Problem Solving
• Insight Generation
• Performance Optimization
• Report Design Best Practices
• Data Security
• Compliance Requirements
• Power BI Governance
• Power BI and Machine Learning
• Advanced Analytics Integration
• Python Scripts
• R Scripts
• Predictive Analytics
• Workspace Administration
• User Management
• Governance Policies
• Usage Monitoring
• Resource Optimization
Skills You'll Gain
Develop practical skills that can be applied immediately in real-world trading scenarios.
Registration & Pricing
Everything you need to know before enrolling.
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Course Features
- Lectures 0
- Quizzes 0
- Duration 42 hours
- Skill level All levels
- Language English
- Students 5
- Assessments Yes







