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 Duration 14 hours

Course Outline

Review and Fundamentals of Data Model Design

  • Comprehending the data modeling layer within Power BI
  • Concepts of star and snowflake schemas
  • Establishing and managing relationships across tables

Foundations of DAX (Data Analysis Expressions)

  • DAX syntax and data typing
  • Distinguishing between calculated columns and measures
  • Key DAX functions: SUMX, CALCULATE, FILTER, RELATED

Advanced DAX and Business Logic Implementation

  • Time intelligence functions (YTD, MTD, QTD)
  • Conditional logic and dynamic calculation techniques
  • Ranking, cumulative totals, and comparative analysis metrics

Data Transformation and Optimization Strategies

  • Utilizing Power Query for advanced data transformations
  • Efficiently integrating multiple data sources
  • Boosting performance through query folding and relationship management

Refined Visualizations and Interactive Features

  • Custom visuals and marketplace extensions
  • Implementing drill-downs, bookmarks, and what-if parameters
  • Developing paginated and dynamic reporting solutions

Performance Management and Governance in Power BI

  • Best practices for managing datasets
  • Optimizing refresh schedules and query execution
  • Applying row-level security (RLS)

Practical Project: Developing a Sales Intelligence Dashboard

  • Formulating KPIs using DAX measures
  • Creating a model-driven dashboard for business insights
  • Enacting governance and data sharing best practices

Conclusion and Future Directions

Requirements

  • Familiarity with the Power BI interface and report creation process
  • Experience in constructing dashboards within Power BI
  • Basic knowledge of data relationships and filtering mechanisms

Target Audience

  • Business intelligence professionals
  • Data analysts and reporting specialists
  • Developers engaged in 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

2026-11-09 09:30
14 hours
Rome
2100 EUR (Online)
2500 EUR (Classroom)

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

2026-11-23 09:30
14 hours
Milan
2100 EUR (Online)
2500 EUR (Classroom)

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

2026-12-07 09:30
14 hours
Naples
2100 EUR (Online)
2500 EUR (Classroom)

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

2026-12-21 09:30
14 hours
Turin
2100 EUR (Online)
2500 EUR (Classroom)

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

2027-01-04 09:30
14 hours
Genoa
2100 EUR (Online)
2500 EUR (Classroom)

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