Advanced Data Modelling and Shaping with Power BI training Course
Duration
1 day /1 week
Price
$899
Cities
Melbourne, Sydney, Brisbane, Adelaide, Canberra, Perth
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Why Choose This Course
Advanced Data Modelling and Shaping with Power BI is an instructor-led training course designed for data analysts, business intelligence professionals, Power BI developers, and reporting specialists who need to transform complex data into reliable, scalable, and high-performing analytics solutions. The course focuses on advanced data preparation techniques using Power Query and robust semantic modelling practices within Power BI, helping participants build trusted datasets and enterprise-ready reporting environments that support effective decision-making.
As organisations increasingly depend on data-driven insights, the quality of data models and transformation processes has become critical to reporting success. Poorly designed models can lead to inaccurate metrics, slow performance, and inconsistent reporting outcomes. This course provides practical guidance on shaping data efficiently, applying proven modelling techniques, and developing maintainable analytics solutions that align with industry best practices.
A major focus of the training is advanced data shaping with Power Query. Participants learn how to connect to diverse data sources, profile data quality, identify issues, cleanse inconsistent information, and transform raw datasets into analytical structures suitable for reporting. Through practical exercises and real-world scenarios, learners gain experience applying repeatable transformation processes that improve reliability and reduce manual effort.
The course also explores advanced data preparation techniques including query folding, parameter management, merging and appending queries, handling semi-structured data, and converting multiple data formats into consistent tabular models. These capabilities help analysts streamline data preparation workflows while improving solution scalability and maintainability.
Semantic modelling forms a core component of the curriculum. Participants learn how to design efficient star schema models, establish relationships between tables, manage cardinality settings, configure cross-filter directions, and implement role-playing dimensions. These modelling practices help ensure data remains accurate, performant, and easy to understand for business users and report consumers.
Participants gain extensive experience working with Data Analysis Expressions (DAX). The training covers calculated columns, measures, context management, CALCULATE functions, business metrics, and time intelligence patterns used to support advanced reporting requirements. Through hands-on labs, learners develop the skills needed to create meaningful calculations that drive consistent and actionable business insights.
Performance optimisation is integrated throughout the course. Participants learn how to identify bottlenecks, analyse report performance, optimise DAX queries, and improve model efficiency using tools such as Performance Analyzer and DAX Query View. These techniques help ensure reporting environments remain responsive even when working with large and complex datasets.
Security and governance are also addressed. Learners gain practical experience implementing Row-Level Security (RLS), managing access controls, supporting governed analytics environments, and applying best practices that protect sensitive data while enabling secure self-service reporting.
The course also examines enterprise modelling standards, data governance principles, reporting consistency, and sustainable development practices. Participants learn how to create analytical solutions that support collaboration, improve trust in business data, and enable long-term reporting success across departments and teams.
Through extensive hands-on exercises, guided labs, and realistic business scenarios, participants develop advanced Power BI modelling and transformation skills that can be applied immediately within reporting, analytics, business intelligence, and data management roles. The course balances technical depth with practical application, helping learners create high-quality analytics solutions that support organisational objectives.
This course is ideal for Data Analysts, Business Intelligence Developers, Power BI Developers, Reporting Specialists, Data Engineers, Business Analysts, Analytics Consultants, and professionals responsible for designing, modelling, and maintaining Power BI reporting solutions. Training is available across Melbourne, Sydney, Brisbane, Adelaide, Perth, and Canberra, as well as through live online delivery throughout Australia. A Certificate of Attendance is included upon completion.
Prerequisites
- There are no formal prerequisites for this course.
Exam Details
Candidates can achieve thi certification by passing the following exam(s).
PL-300: Microsoft Power BI Data Analyst
Learning Resources
Delivery Options
- Instructor-led Classroom Training at our premises
- Live Virtual Online Training attend in real-time from anywhere
- In-House Training at your premises (4+ participants)
Skills Gained
- Clean, transform and profile data with Power Query, including query folding, parameters, merge and append
- Design star schema models; configure relationships, cardinality and cross-filter direction
- Create calculated columns, tables and measures with DAX; apply variables and evaluation context
- Use CALCULATE and time intelligence patterns; build semi-additive measures
- Implement row-level security for governed access to model assets
- Optimise model performance and diagnose bottlenecks with Performance Analyzer and DAX query view
- Convert semi-structured data to tabular form; build fact and dimension tables
- Select DirectQuery or Import strategically and use composite models appropriately
Audience
This course is ideal for data analysts, BI developers, reporting specialists and power users who need to prepare, model and govern data for analytics in Power BI, including professionals building exam-aligned capability for the Microsoft Power BI Data Analyst role.
Outline
- Power BI architecture overview for modelling and governance
- Installing and updating Power BI Desktop (Store versus executable)
- Connecting to data and profiling with Power Query
- Data types, column transformations and applied steps
- Query folding concepts and performance implications
- Parameters, query reuse and reference versus duplicate
- M fundamentals: functions, logic and common operations
- Merging and appending queries across sources
- Converting semi-structured data to tables (pivot, unpivot, transpose)
- Designing star schemas: facts, dimensions and grain
- Relationship configuration: cardinality and cross-filter direction
- Role-playing dimensions and date tables
- Calculated columns and tables versus measures: when and why
- DAX fundamentals: evaluation context, variables and function categories
- CALCULATE deep dive and filter modification patterns
- Time intelligence patterns and semi-additive measures
- Quick measures and visual calculations
- Row-level security roles and membership configuration
- Model optimisation: reducing granularity, pruning columns and rows
- Performance Analyzer, DAX query view and troubleshooting
- DirectQuery versus Import, composite models and guidance
- Dataflows and self-service data preparation in Power BI
- Scheduling refresh and workspace-level governance (high level)
Advanced Power BI Modelling Course Schedule and Locations
Choose a city to view upcoming dates, prices and delivery formats.
Advanced Power BI Modelling Course Schedules Across Australia
| Type | Duration | Price | Start Date | Action |
|---|---|---|---|---|
| Full-Time (Weekdays): Mon - Wed Time: 9:30 am to 5:00 pm | 1 Day | $899 | 07 Sep 2026 | Book Now |
| Part-Time (Weeknights): Mon & Tue Time: 6:00 pm to 9:00 pm | 1 Week | $899 | 14 Sep 2026 | Book Now |
| Part-Time (Weekends): Saturdays Time: 10:00 am to 5:00 pm | 1 Week | $899 | 19 Sep 2026 | Book Now |
| Full-Time (Weekdays): Mon - Wed Time: 9:30 am to 5:00 pm | 1 Day | $899 | 01 Oct 2026 | Book Now |
| Full-Time (Weekdays): Mon - Wed Time: 9:30 am to 5:00 pm | 1 Day | $899 | 05 Oct 2026 | Book Now |
| Part-Time (Weekends): Saturdays Time: 10:00 am to 5:00 pm | 1 Week | $899 | 17 Oct 2026 | Book Now |
| Part-Time (Weeknights): Mon & Tue Time: 6:00 pm to 9:00 pm | 1 Week | $899 | 19 Oct 2026 | Book Now |
| Type | Duration | Price | Start Date | Action |
|---|---|---|---|---|
| Full-Time (Weekdays): Mon - Wed Time: 9:30 am to 5:00 pm | 1 Day | $899 | 07 Sep 2026 | Book Now |
| Part-Time (Weeknights): Mon & Tue Time: 6:00 pm to 9:00 pm | 1 Week | $899 | 14 Sep 2026 | Book Now |
| Part-Time (Weekends): Saturdays Time: 10:00 am to 5:00 pm | 1 Week | $899 | 19 Sep 2026 | Book Now |
| Full-Time (Weekdays): Mon - Wed Time: 9:30 am to 5:00 pm | 1 Day | $899 | 01 Oct 2026 | Book Now |
| Full-Time (Weekdays): Mon - Wed Time: 9:30 am to 5:00 pm | 1 Day | $899 | 05 Oct 2026 | Book Now |
| Part-Time (Weekends): Saturdays Time: 10:00 am to 5:00 pm | 1 Week | $899 | 17 Oct 2026 | Book Now |
| Part-Time (Weeknights): Mon & Tue Time: 6:00 pm to 9:00 pm | 1 Week | $899 | 19 Oct 2026 | Book Now |
| Type | Duration | Price | Start Date | Action |
|---|---|---|---|---|
| Full-Time (Weekdays): Mon - Wed Time: 9:30 am to 5:00 pm | 1 Day | $899 | 07 Sep 2026 | Book Now |
| Part-Time (Weeknights): Mon & Tue Time: 6:00 pm to 9:00 pm | 1 Week | $899 | 14 Sep 2026 | Book Now |
| Part-Time (Weekends): Saturdays Time: 10:00 am to 5:00 pm | 1 Week | $899 | 19 Sep 2026 | Book Now |
| Full-Time (Weekdays): Mon - Wed Time: 9:30 am to 5:00 pm | 1 Day | $899 | 01 Oct 2026 | Book Now |
| Full-Time (Weekdays): Mon - Wed Time: 9:30 am to 5:00 pm | 1 Day | $899 | 05 Oct 2026 | Book Now |
| Part-Time (Weekends): Saturdays Time: 10:00 am to 5:00 pm | 1 Week | $899 | 17 Oct 2026 | Book Now |
| Part-Time (Weeknights): Mon & Tue Time: 6:00 pm to 9:00 pm | 1 Week | $899 | 19 Oct 2026 | Book Now |
| Type | Duration | Price | Start Date | Action |
|---|---|---|---|---|
| Full-Time (Weekdays): Mon - Wed Time: 9:30 am to 5:00 pm | 1 Day | $899 | 07 Sep 2026 | Book Now |
| Part-Time (Weeknights): Mon & Tue Time: 6:00 pm to 9:00 pm | 1 Week | $899 | 14 Sep 2026 | Book Now |
| Part-Time (Weekends): Saturdays Time: 10:00 am to 5:00 pm | 1 Week | $899 | 19 Sep 2026 | Book Now |
| Full-Time (Weekdays): Mon - Wed Time: 9:30 am to 5:00 pm | 1 Day | $899 | 01 Oct 2026 | Book Now |
| Full-Time (Weekdays): Mon - Wed Time: 9:30 am to 5:00 pm | 1 Day | $899 | 05 Oct 2026 | Book Now |
| Part-Time (Weekends): Saturdays Time: 10:00 am to 5:00 pm | 1 Week | $899 | 17 Oct 2026 | Book Now |
| Part-Time (Weeknights): Mon & Tue Time: 6:00 pm to 9:00 pm | 1 Week | $899 | 19 Oct 2026 | Book Now |
Terms & Conditions
The supply of this course is governed by our terms and conditions. Please read them carefully before enrolling, as enrolment is conditional on acceptance of these terms and conditions. Proposed course dates are given, course runs subject to availability and minimum registrations.
Frequently Asked Questions (FAQs)
What is Advanced Data Modelling and Shaping with Power BI?
This advanced Power BI course teaches professionals how to prepare, transform, model, optimise, and govern data using Power Query, DAX, and semantic modelling best practices.
Who should attend the Advanced Data Modelling and Shaping with Power BI course?
The course is ideal for Data Analysts, Power BI Developers, Business Intelligence Professionals, Reporting Specialists, Data Engineers, Analytics Consultants, and advanced Power BI users.
What skills will I gain from this training?
Participants learn advanced Power Query transformations, query folding, star schema design, relationship management, DAX calculations, time intelligence, Row-Level Security, performance optimisation, and enterprise data modelling techniques.
Does the course cover Power Query and data transformation?
Yes. Participants learn advanced Power Query techniques including data profiling, cleansing, merging, appending, parameterisation, query optimisation, and transforming semi-structured data into analytical models.
Will I learn advanced DAX and data modelling?
Yes. The course includes advanced DAX calculations, CALCULATE functions, time intelligence patterns, calculated columns, measures, relationship design, role-playing dimensions, and semantic model optimisation.
How does the course address performance and governance?
Participants learn performance tuning techniques using tools such as Performance Analyzer and DAX Query View, while also implementing Row-Level Security, governed data access, and enterprise reporting best practices.
Our Partnership
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$118,530
Average advertised salary for BI Analyst roles in Australia (SEEK).
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375,000+
Global organisations using Power BI (2024).
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17 years
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Student satisfaction rate from our training programs.
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