This comprehensive course on Power BI equips participants with the knowledge and skills to effectively utilize Power BI for data analysis and visualization. Participants will learn to navigate the Power BI ecosystem, from data preparation and modeling to advanced visualization techniques and deployment strategies. By the end of the course, participants will be proficient in creating interactive reports and dashboards, optimizing data models using DAX, and leveraging Power BI Service and Mobile for seamless collaboration and data sharing.

OBJECTIVES

• Understand the overview and importance of Power BI
• Learn to install and set up Power BI Desktop
• Understand data import and transformation processes
• Create and manage data models using DAX
• Create and customize visualizations and reports
• Utilize advanced visualization techniques and DAX functions
• Publish reports and collaborate in Power BI Service
• Learn best practices and troubleshooting in Power BI

WHO SHOULD ATTEND?

• Business Analysts
• Data Analysts
• Data Scientists
• BI Developers
• IT Professionals
• Anyone interested in learning data visualization and business intelligence using Power BI

PREREQUISITES

• Basic understanding of data analysis and reporting concepts
• Familiarity with Excel or any other data analysis tool
• Basic knowledge of relational databases and SQL (optional but beneficial)
• Install Power BI on your machine ready to use for training.

ALL PARTICIPANTS WILL RECEIVE

• Training manuals/documentation.
• Certification upon completion of the Data Storyteller: Visual Narratives with Power BI course.
• Excellent care and attention from instructors and staff.
• Unlimited attendance to the Data Storyteller: Visual Narratives with Power BI course (limited to 5 repeat attendees per training session; if you wish to attend the workshop again, please contact our Facebook Page, Line, Email, or other channels to reserve your seat).
• If you are unable to attend the training session this time, you can reschedule your participation according to the training schedule.

OUTLINE

1. Introduction to Power BI
   • Overview of Power BI: What is Power BI?
   • Key Features and Benefits
   • Power BI Ecosystem: Power BI Desktop, Power BI Service, Power BI Mobile
   • Understanding Different Data Sources
2. Getting Started with Power BI Desktop
   • Installing and Setting Up Power BI Desktop
   • Understanding the Power BI Interface
   • Importing Data from Various Sources (Excel, SQL Server, Web, etc.)
   • Basic Data Transformation with Power Query Editor
3. Data Cleaning and Transformation
   • Advanced Data Transformation Techniques
   • Merging and Appending Queries
   • Creating and Managing Data Relationships
   • Introduction to DAX (Data Analysis Expressions) for Calculated Columns and Measures
4. Data Modeling
   • Understanding Data Models
   • Creating Data Models in Power BI
   • Using DAX for Data Modeling
   • Best Practices for Data Modeling
5. Creating Visualizations
   • Introduction to Power BI Visualizations
   • Creating and Customizing Basic Charts (Bar, Line, Pie, etc.)
   • Using Slicers and Filters
   • Designing Interactive Reports and Dashboards
6. Advanced Power BI Techniques and Sharing Insights
7. Advanced Visualizations
   • Using Advanced Charts (TreeMap, Waterfall, Funnel, etc.)
   • Custom Visuals in Power BI
   • Working with Maps and Geospatial Data
   • Best Practices for Data Visualization
8. Advanced DAX and Calculations
   • Advanced DAX Functions and Formulas
   • Time Intelligence in Power BI
   • Creating and Using Hierarchies
   • Managing Role-Based Security with DAX
9. Power BI Service
   • Publishing Reports to Power BI Service
   • Data Refresh and Scheduled Refresh
   • Working with Power BI Workspaces
   • Sharing and Collaborating on Reports
10. Power BI Mobile and Embedding
    • Overview of Power BI Mobile
    • Creating Mobile-Optimized Reports
    • Embedding Power BI Reports in Websites and Apps
    • Power BI REST API and Power BI Embedded
11. Best Practices and Q&A
    • Best Practices for Power BI Development and Deployment
    • Performance Optimization Techniques
    • Common Pitfalls and Troubleshooting
    • Q&A Session and Hands-On Practice
12. Course Wrap-Up
    • Recap of Key Concepts
    • Resources for Further Learning
    • Feedback and Next Steps