Comprehensive Microsoft Power BI Certification Sydney

This course provides a comprehensive overview of Microsoft Power BI, covering everything from basic data connections and transformations to advanced DAX calculations, visualizations, and report sharing. It prepares participants for the Microsoft Power BI Data Analyst Associate certification (PL-300).

Course Summary:

This course empowers participants to transform raw data into actionable insights using Power BI. Through hands-on labs and real-world examples, learners will master data modeling, visualization, and analysis techniques. The course covers the entire Power BI workflow, from data acquisition and transformation to report creation, publishing, and sharing.

Who Should Attend:

• Managers
• Data Analysts
• Business Intelligence Professionals
• Data Scientists
• IT Professionals
• Business Users who work with data and reporting
• Anyone preparing for the PL-300 certification exam

Course Content (Modules):

Module 1: Getting Started with Power BI

• Introduction to Business Intelligence and Data Analysis
• Overview of Power BI components (Power BI Desktop, Power BI Service, Power BI Mobile)
• Navigating the Power BI Desktop interface
• Connecting to data sources (Excel, CSV, databases, online services)
• Introduction to Power Query Editor

Module 2: Data Transformation with Power Query

• Data cleaning and shaping techniques (removing duplicates, handling nulls, data type conversions)
• Data transformation operations (filtering, sorting, grouping, pivoting, unpivoting)
• Working with different data types (text, numbers, dates, etc.)
• Combining data from multiple sources (merging, appending)
• Advanced Power Query features (M language basics, custom functions)

Module 3: Data Modeling in Power BI

• Understanding data relationships (one-to-many, many-to-many)
• Creating and managing relationships between tables
• Understanding and implementing cardinality and cross-filter direction
• Creating calculated columns and measures
• Understanding data modeling best practices (star schema)

Module 4: Introduction to DAX (Data Analysis Expressions)

• Introduction to DAX syntax and functions
• Creating basic measures and calculated columns
• Understanding context in DAX (row context, filter context)
• Using common DAX functions (SUM, AVERAGE, COUNT, CALCULATE)
• Time intelligence functions

Module 5: Advanced DAX

• Working with variables in DAX
• Advanced DAX functions (FILTER, ALL, RELATEDTABLE)
• Understanding and using iterators (SUMX, AVERAGEX)
• Implementing complex calculations and business logic
• Performance optimization of DAX queries

Module 6: Data Visualization in Power BI

• Creating various types of visualizations (bar charts, line charts, scatter plots, maps, etc.)
• Customizing visualizations (formatting, colors, labels, tooltips)
• Using interactive features (slicers, filters, drill-down)
• Creating dashboards and reports
• Best practices for data visualization

Module 7: Power BI Service and Collaboration

• Publishing reports to the Power BI Service
• Creating and managing workspaces
• Sharing dashboards and reports with others
• Setting up data refresh schedules
• Using Power BI apps
• Understanding security and data governance in the Power BI Service

Module 8: Advanced Analytics and AI in Power BI

• Using Quick Measures for common calculations
• Implementing AI visuals (Key Influencers, Decomposition Tree, Q&A)
• Integrating with Azure Machine Learning (basic overview)

Module 9: Power BI Administration and Deployment (High-level overview)

• Understanding Power BI licensing and governance
• Data gateways and data refresh options
• Power BI Embedded (brief introduction)

Module 10: Preparing for the PL-300 Exam

• Review of key concepts and topics
• Practice questions and exam tips
• Exam resources and study strategies

Throughout the course, emphasis will be placed on:

• Hands-on labs and exercises
• Real-world case studies
• Best practices for Power BI development
• Performance optimization techniques

This comprehensive course content will equip participants with the skills and knowledge necessary to effectively use Power BI for data analysis and reporting, as well as prepare them for the PL-300 certification exam.

Event Venue & Nearby Stays

Sydney, Australia