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 Duration 14 hours

Course Outline

Review of Fundamentals and Data Model Design Principles

  • Exploring the data modeling layer within Power BI.
  • Understanding star and snowflake schema concepts.
  • Establishing and managing relationships between tables.

Foundations of DAX (Data Analysis Expressions)

  • DAX syntax and supported data types.
  • Distinguishing between calculated columns and measures.
  • Key DAX functions including SUMX, CALCULATE, FILTER, and RELATED.

Advanced DAX and Business Logic Implementation

  • Utilizing time intelligence functions (YTD, MTD, QTD).
  • Implementing conditional logic and dynamic calculations.
  • Creating ranking systems, running totals, and comparative metrics.

Data Transformation and Performance Optimization

  • Utilizing Power Query for advanced data transformations.
  • Efficiently consolidating multiple data sources.
  • Enhancing performance through query folding and relationship management.

Advanced Visualizations and Interactivity

  • Incorporating custom visuals and marketplace extensions.
  • Using drill-downs, bookmarks, and what-if parameters.
  • Developing paginated and dynamic reports.

Performance Management and Governance in Power BI

  • Adhering to best practices for dataset management.
  • Optimizing refresh schedules and query performance.
  • Implementing row-level security (RLS) protocols.

Practical Application: Constructing a Sales Intelligence Dashboard

  • Developing KPIs using DAX measures.
  • Designing a model-driven dashboard to deliver business insights.
  • Applying governance and sharing best practices.

Conclusion and Future Directions

Requirements

  • Proficiency with the Power BI interface and report creation processes.
  • Prior experience in developing dashboards within Power BI.
  • Fundamental understanding of data relationships and filtering mechanisms.

Target Audience

  • Business intelligence specialists.
  • Data analysts and reporting experts.
  • Developers focused on data visualization and analytics.

Number of participants


Price per participant

Open Training Courses require 5+ participants.

Testimonials (4)

How to use relationships in Power BIand the differences between columns and measurements

LEUNG Chun Hei - HAESL
Course - Advanced Power BI: Data Modeling, DAX, and Enhanced Analytics

The application of Data Modelling and DAX

Rachel KY Wong - HAESL
Course - Advanced Power BI: Data Modeling, DAX, and Enhanced Analytics

Emoji setting. SharePoint data source linkage. Concept of DAX in measure and column.

Lam Chit Wui (Ray) - HAESL
Course - Advanced Power BI: Data Modeling, DAX, and Enhanced Analytics

Calculate, Measure

TONY ZHOU CHEN - HAESL
Course - Advanced Power BI: Data Modeling, DAX, and Enhanced Analytics

Upcoming Courses

Advanced Power BI: Data Modeling, DAX, and Enhanced Analytics

2026-11-11 09:30
14 hours
Istanbul, Taksim
29025 TRY (Online)
29425 TRY (Classroom)

Advanced Power BI: Data Modeling, DAX, and Enhanced Analytics

2026-11-25 09:30
14 hours
Ankara
29025 TRY (Online)
29425 TRY (Classroom)

Advanced Power BI: Data Modeling, DAX, and Enhanced Analytics

2026-12-09 09:30
14 hours
Antalya
29025 TRY (Online)
29425 TRY (Classroom)

Advanced Power BI: Data Modeling, DAX, and Enhanced Analytics

2026-12-23 09:30
14 hours
Istanbul, Taksim
29025 TRY (Online)
29425 TRY (Classroom)

Advanced Power BI: Data Modeling, DAX, and Enhanced Analytics

2027-01-06 09:30
14 hours
Ankara
29025 TRY (Online)
29425 TRY (Classroom)

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