This practical and hands-on workshop is designed to help participants build strong foundational and intermediate skills in Power BI data transformation and data modelling using Power Query, M Language, and DAX. The program focuses on developing the technical capabilities required to clean, transform, model, and analyze data more effectively to create meaningful business insights and interactive dashboards.
Participants will explore the overall Power BI architecture and understand how Power Query, M Language, and DAX work together within the reporting and analytics process. The workshop provides practical exposure to importing, transforming, and preparing datasets while applying real-world data cleaning and shaping techniques using Power Query and M expressions.
The program also introduces DAX fundamentals and gradually progresses into building calculated columns, measures, KPIs, and time intelligence calculations that support better business analysis and reporting. Through guided hands-on exercises, participants will learn how to work with relationships, filter contexts, dynamic calculations, and advanced DAX concepts used in professional Power BI solutions.
By the end of the workshop, participants will gain practical experience in transforming raw data into structured analytical models, creating impactful calculations, and applying Power BI techniques that support more effective reporting, dashboard development, and data-driven decision-making.
By the end of this workshop, participants will be able to:
Planning to attend with colleagues? Organizations registering 3 or more participants receive a 15% group discount, making it more economical to develop teams together while creating a shared learning experience.
For larger groups, we can also explore a customized in-house delivery exclusively for your organization. The program can be tailored to your business context, participant profile, and specific learning objectives.









Get detailed course information, schedules, and enrollment guidance from our training team.