Mastering Microsoft Power BI for Data-Driven Decision Making
COURSE FORMAT & DELIVERY DETAILS Flexible, Self-Paced Learning Designed for Real-World Results
This course is built for professionals who need clarity, control, and career impact - without the time constraints of traditional training. You gain immediate online access to a meticulously structured, fully interactive learning journey that evolves with your schedule and goals. - The course is self-paced, allowing you to start anytime and progress at your own speed
- Immediate online access ensures you can begin the moment you enroll
- On-demand structure means no fixed dates, no rigid timetables, and no missed content
- Most learners complete the program in 6 to 8 weeks with just 4 to 6 hours per week, and many begin applying core techniques to real business challenges within the first 7 days
- Lifetime access guarantees you can revisit lessons, tools, and frameworks anytime - forever
- Future updates are included at no extra cost, ensuring you always have access to the latest Power BI strategies, features, and best practices
- Access is available 24/7 from any device, with full mobile-friendly compatibility so you can learn during commutes, between meetings, or from the comfort of your home office
- You receive direct instructor support through structured guidance, practical feedback pathways, and curated resources to ensure you never feel stuck or unsupported
- Upon successful completion, you earn a globally recognised Certificate of Completion issued by The Art of Service, a trusted name in professional development with alumni across 142 countries
Transparent, Risk-Free Enrollment with Guaranteed Value
Pricing is straightforward with no hidden fees, no subscription traps, and no surprise charges. This is a one-time investment in skills that compound over time. We accept all major payment methods including Visa, Mastercard, and PayPal, processed securely with bank-level encryption. If at any point you find the course does not meet your expectations, you are covered by our unconditional money-back guarantee. You can request a full refund at any time within 30 days of enrollment, no questions asked. This is your safety net - we want you to take action without hesitation. After enrollment, you will receive a confirmation email. Your access details and course entry instructions will be sent separately, once your learning materials are prepared for optimal delivery. Will This Work for Me?
Yes - regardless of your current skill level or job function. This program was designed to adapt to your context, not the other way around. Whether you’re a business analyst translating raw data into reports, a manager seeking to understand team performance metrics, or a consultant helping clients make strategic decisions, the content is role-specific and outcome-driven. For example, marketing professionals use the KPI modeling techniques to track campaign ROI with precision. Finance leads apply the DAX formula blueprints to automate monthly reporting. Operations teams build live dashboards that flag bottlenecks before they escalate. This works even if you’ve never used Power BI before, if your company uses outdated reporting methods, or if you’re overwhelmed by spreadsheets and data silos. The step-by-step workflows and real project templates eliminate guesswork and on-the-job friction. Trusted by Professionals Across Industries
“I was promoted to Senior Insights Manager three months after finishing this course. The dashboard storytelling module alone transformed how I present findings to executives.”
- Lena Torres, Financial Services, Dublin “I built a real-time sales tracker used by 17 regional teams. The data transformation section gave me the confidence to handle messy inputs without relying on IT.”
- Raj Patel, Sales Operations, Mumbai “As someone who avoided technical tools, I was shocked at how intuitive the interface breakdowns made Power BI. Now I’m the go-to person for data clarity in my department.”
- Maria Gutierrez, HR Analytics, Mexico City This course reduces uncertainty, accelerates results, and gives you leverage. You’re not just learning a tool - you’re mastering a competitive advantage. With risk reversed, support guaranteed, and value locked in for life, there is no downside to starting today.
COURSE CURRICULUM
Module 1: Foundations of Data-Driven Decision Making - The evolution of business intelligence and the role of Power BI
- Why traditional reporting fails and how Power BI solves it
- Understanding the decision-making lifecycle in modern organisations
- Defining business questions that drive meaningful analysis
- Identifying key stakeholders and their data needs
- Mapping organisational goals to measurable outcomes
- Common data pitfalls and how to avoid them
- Introduction to data literacy for non-technical roles
- Building a data-first mindset across departments
- Creating a culture of evidence-based decision making
Module 2: Power BI Ecosystem and Interface Mastery - Overview of Power BI Desktop, Service, and Mobile
- Installing and setting up Power BI Desktop correctly
- Navigating the interface with speed and precision
- Understanding workspaces, apps, and content packs
- Setting preferences for optimal performance
- Customising the ribbon and quick access toolbar
- Managing file formats and compatibility settings
- Importing and exporting projects seamlessly
- Using themes and templates for brand consistency
- Shortcuts and productivity techniques for faster navigation
Module 3: Data Acquisition and Source Integration - Connecting to Excel spreadsheets with structured formatting
- Importing data from CSV and text files
- Linking to SQL Server and other database platforms
- Accessing cloud-based sources like SharePoint and OneDrive
- Connecting to Azure and Dynamics 365 systems
- Using Web APIs to pull live data feeds
- Integrating Salesforce and CRM data
- Linking Google Analytics and marketing platforms
- Combining multiple data sources into a single model
- Setting refresh schedules for automated updates
Module 4: Data Cleaning and Transformation Techniques - Using Power Query Editor for advanced transformations
- Removing duplicates and handling missing values
- Splitting and merging columns efficiently
- Changing data types and formatting standards
- Filtering rows based on conditions and rules
- Pivoting and unpivoting data structures
- Creating custom columns with logical functions
- Applying conditional logic in data shaping
- Trimming whitespace and standardising text entries
- Handling inconsistent date and time formats
- Grouping rows by categories and aggregating values
- Reordering steps in the query editor for clarity
- Creating reusable query templates
- Managing privacy levels and data origins
- Optimising query performance for large datasets
Module 5: Data Modelling Fundamentals - Understanding star schema and dimensional modelling
- Creating fact and dimension tables correctly
- Defining relationships between tables
- Choosing between one-to-many and many-to-many relationships
- Setting cardinality and cross-filtering directions
- Managing active and inactive relationships
- Using bridge tables for complex scenarios
- Identifying and resolving circular dependency issues
- Optimising model size and performance
- Managing calculated columns vs measures effectively
- Using hierarchies in date and organisational data
- Creating user hierarchies for intuitive navigation
- Analyzing relationship strength and integrity
- Validating model accuracy with sample checks
- Documenting your data model for team collaboration
Module 6: Mastering DAX: The Language of Power BI - Introduction to DAX syntax and structure
- Distinguishing scalars, tables, and expressions
- Understanding evaluation context: row vs filter
- Using CALCULATE to modify filter context
- Writing SUM, AVERAGE, COUNT, and related aggregations
- Creating measures for dynamic calculations
- Using IF statements for conditional logic
- Applying SWITCH functions for multiple conditions
- Leveraging FILTER for context-specific results
- Using ALL, ALLEXCEPT, and ALLSELECTED for resets
- Working with time intelligence: TOTALYTD, SAMEPERIODLASTYEAR
- Calculating moving averages and rolling sums
- Understanding EARLIER and nested row contexts
- Building cumulative totals and running balances
- Handling blank values with ISBLANK and COALESCE
- Creating percentage of total and market share metrics
- Using variables for cleaner, more efficient code
- Debugging common DAX errors and syntax issues
- Optimising measure performance for speed
- Reusing DAX expressions across reports
Module 7: Advanced DAX and Performance Optimisation - Context transition in calculated columns and measures
- Using RELATED and RELATEDTABLE for cross-table logic
- Implementing RANKX for competitive benchmarking
- Building dynamic segmentation with DAX
- Creating time-based cohorts and retention analysis
- Calculating month-on-month and quarter-on-quarter growth
- Implementing custom financial year calendars
- Using TREATAS for simulated relationships
- Applying USERELATIONSHIP for role-playing dimensions
- Optimising model size using summarisation techniques
- Reducing memory usage in large datasets
- Using DISCARD to drop unnecessary columns
- Managing calculation groups and templates
- Validating DAX logic with test datasets
- Analysing query plans and performance bottlenecks
- Building scalable measures for enterprise use
- Ensuring consistency across dashboards and reports
Module 8: Visualisation Strategy and Dashboard Design - Choosing the right chart type for your message
- Using bar, column, line, and area charts effectively
- Applying pie, donut, and funnel charts with caution
- Designing scatter plots and bubble charts for correlation
- Building maps for geographical insights
- Using gauges and KPIs for executive reporting
- Creating tables and matrices with conditional formatting
- Adding slicers and filters for interactive exploration
- Positioning visuals for optimal flow and readability
- Aligning elements using grid and layout tools
- Applying consistent colour schemes and fonts
- Setting up visual interactions and cross-filtering
- Using bookmarks for guided storytelling
- Adding titles, legends, and annotations strategically
- Designing mobile-optimised dashboards
- Ensuring accessibility for colour-blind users
- Minimising clutter with white space and focus
- A/B testing visual layouts for impact
- Using icons and imagery for faster comprehension
- Creating custom visual templates for reuse
Module 9: Interactive Reporting and Storytelling - Structuring reports for decision-maker audiences
- Building narrative flows from insight to action
- Using report pages as chapters in a story
- Creating drill-through pages for deeper analysis
- Adding drill-down capabilities to hierarchies
- Implementing cross-report navigation links
- Using buttons and actions for seamless flow
- Designing landing pages for executive summaries
- Adding tooltips for contextual details
- Building responsive layouts for various screen sizes
- Using Q&A visual to enable natural language queries
- Customising Q&A suggestions and synonyms
- Architecting dashboards for self-service exploration
- Writing clear labels and instructions for end users
- Adding data disclaimers and methodology notes
- Incorporating feedback loops into reporting design
- Testing usability with non-technical colleagues
- Iterating based on user interaction patterns
- Documenting design decisions for future reference
- Sharing best practices across teams
Module 10: Publishing, Sharing, and Collaboration - Publishing reports from Desktop to Power BI Service
- Understanding workspaces and app workspaces
- Adding team members and setting permissions
- Managing roles: admins, members, contributors, viewers
- Creating and managing apps for distribution
- Scheduling automatic data refreshes
- Configuring gateways for on-premises data
- Sharing dashboards with external partners securely
- Embedding reports in SharePoint or intranet portals
- Exporting to PDF and PowerPoint for presentations
- Setting up email subscriptions for key stakeholders
- Using annotations to collaborate in real time
- Adding comments and threaded discussions
- Tracking changes and version history
- Archiving outdated reports and dashboards
- Integrating with Microsoft Teams for live updates
- Monitoring user engagement with usage metrics
- Auditing access and sharing activity
- Enforcing compliance and data governance
- Backups and recovery planning
Module 11: Real-Time Data and Advanced Analytics - Streaming data with Power BI Streaming Datasets
- Connecting to Azure Stream Analytics
- Visualising live data from IoT devices
- Monitoring KPIs in real time with dashboards
- Setting up alerts for threshold breaches
- Using push datasets for API-driven updates
- Integrating Power Automate for automated actions
- Applying machine learning insights from Azure ML
- Using quick insights to discover patterns automatically
- Running forecasting models directly in Power BI
- Adding trend lines and statistical summaries
- Clustering customers using built-in analytics
- Building predictive models with low-code tools
- Interpreting statistical significance in reports
- Detecting anomalies in time series data
- Validating analytical outputs with domain knowledge
- Explaining advanced findings to non-technical leaders
- Embedding explainability into dashboard narratives
Module 12: Enterprise Governance and Security - Understanding Power BI security model architecture
- Applying row-level security (RLS) rules
- Creating dynamic RLS based on user roles
- Testing RLS with different user profiles
- Managing sensitivity labels and data classification
- Implementing data loss prevention (DLP) policies
- Setting up audit logs and monitoring access
- Handling compliance requirements: GDPR, HIPAA, SOX
- Using capacity metrics to manage resource usage
- Monitoring performance with admin dashboards
- Assigning tenant-level and workspace-level admins
- Managing Premium vs Pro licensing implications
- Optimising licensing costs across teams
- Planning for scalability and future growth
- Backing up and restoring critical assets
- Integrating with organisational identity providers
- Single sign-on (SSO) and multi-factor authentication (MFA)
- Creating a Power BI Centre of Excellence (CoE)
- Standardising naming conventions and metadata
- Building a self-service analytics culture safely
Module 13: Building Your Data Portfolio - Selecting high-impact projects for your portfolio
- Documenting business context and objectives
- Structuring case studies around problems and solutions
- Highlighting technical and soft skills demonstrated
- Creating before-and-after comparisons
- Measuring and showcasing impact metrics
- Using storytelling to make your work memorable
- Exporting visuals and reports professionally
- Adding projects to LinkedIn and personal websites
- Preparing to discuss your dashboards in interviews
- Receiving peer feedback to refine presentation
- Updating your resume with Power BI competencies
- Networking with data professionals online
- Joining Power BI communities and forums
- Contributing to open data initiatives
- Presenting at internal brown bag sessions
- Building credibility through consistent output
- Tracking personal growth and skill milestones
- Setting long-term data career goals
- Mapping skills to job market demands
Module 14: Real-World Projects and Application - Project 1: Sales Performance Dashboard
- Project 2: Marketing Campaign ROI Tracker
- Project 3: Financial Budget vs Actuals Report
- Project 4: HR Attrition and Retention Analysis
- Project 5: Supply Chain Inventory Dashboard
- Project 6: Customer Lifecycle Journey Map
- Project 7: Operational Efficiency Scorecard
- Project 8: Executive Leadership KPI Dashboard
- Designing data models for each project
- Writing custom DAX for business-specific metrics
- Transforming raw data into clean sources
- Building responsive, interactive visuals
- Creating intuitive navigation and filters
- Applying themes and branding
- Testing usability with sample audiences
- Documenting assumptions and logic
- Writing executive summaries for each project
- Exporting and sharing final deliverables
- Revising based on feedback
- Archiving and versioning your projects
Module 15: Certification, Career Growth, and Next Steps - Preparing for your final assessment
- Reviewing core concepts and practical skills
- Completing a capstone project demonstrating mastery
- Submitting your work for evaluation
- Earning your Certificate of Completion issued by The Art of Service
- Verifying your credential online
- Adding your certification to LinkedIn and résumés
- Understanding how employers view Power BI expertise
- Positioning yourself for promotions and raises
- Transitioning into data analyst, BI developer, or consultant roles
- Estimating ROI from salary increases and time savings
- Joining alumni networks for continued growth
- Accessing update libraries and new content
- Staying current with Power BI feature releases
- Exploring advanced certifications and pathways
- Teaching others and reinforcing your expertise
- Building internal training materials
- Leading data initiatives in your organisation
- Scaling impact beyond individual dashboards
- Continuing your learning with vetted resources
Module 1: Foundations of Data-Driven Decision Making - The evolution of business intelligence and the role of Power BI
- Why traditional reporting fails and how Power BI solves it
- Understanding the decision-making lifecycle in modern organisations
- Defining business questions that drive meaningful analysis
- Identifying key stakeholders and their data needs
- Mapping organisational goals to measurable outcomes
- Common data pitfalls and how to avoid them
- Introduction to data literacy for non-technical roles
- Building a data-first mindset across departments
- Creating a culture of evidence-based decision making
Module 2: Power BI Ecosystem and Interface Mastery - Overview of Power BI Desktop, Service, and Mobile
- Installing and setting up Power BI Desktop correctly
- Navigating the interface with speed and precision
- Understanding workspaces, apps, and content packs
- Setting preferences for optimal performance
- Customising the ribbon and quick access toolbar
- Managing file formats and compatibility settings
- Importing and exporting projects seamlessly
- Using themes and templates for brand consistency
- Shortcuts and productivity techniques for faster navigation
Module 3: Data Acquisition and Source Integration - Connecting to Excel spreadsheets with structured formatting
- Importing data from CSV and text files
- Linking to SQL Server and other database platforms
- Accessing cloud-based sources like SharePoint and OneDrive
- Connecting to Azure and Dynamics 365 systems
- Using Web APIs to pull live data feeds
- Integrating Salesforce and CRM data
- Linking Google Analytics and marketing platforms
- Combining multiple data sources into a single model
- Setting refresh schedules for automated updates
Module 4: Data Cleaning and Transformation Techniques - Using Power Query Editor for advanced transformations
- Removing duplicates and handling missing values
- Splitting and merging columns efficiently
- Changing data types and formatting standards
- Filtering rows based on conditions and rules
- Pivoting and unpivoting data structures
- Creating custom columns with logical functions
- Applying conditional logic in data shaping
- Trimming whitespace and standardising text entries
- Handling inconsistent date and time formats
- Grouping rows by categories and aggregating values
- Reordering steps in the query editor for clarity
- Creating reusable query templates
- Managing privacy levels and data origins
- Optimising query performance for large datasets
Module 5: Data Modelling Fundamentals - Understanding star schema and dimensional modelling
- Creating fact and dimension tables correctly
- Defining relationships between tables
- Choosing between one-to-many and many-to-many relationships
- Setting cardinality and cross-filtering directions
- Managing active and inactive relationships
- Using bridge tables for complex scenarios
- Identifying and resolving circular dependency issues
- Optimising model size and performance
- Managing calculated columns vs measures effectively
- Using hierarchies in date and organisational data
- Creating user hierarchies for intuitive navigation
- Analyzing relationship strength and integrity
- Validating model accuracy with sample checks
- Documenting your data model for team collaboration
Module 6: Mastering DAX: The Language of Power BI - Introduction to DAX syntax and structure
- Distinguishing scalars, tables, and expressions
- Understanding evaluation context: row vs filter
- Using CALCULATE to modify filter context
- Writing SUM, AVERAGE, COUNT, and related aggregations
- Creating measures for dynamic calculations
- Using IF statements for conditional logic
- Applying SWITCH functions for multiple conditions
- Leveraging FILTER for context-specific results
- Using ALL, ALLEXCEPT, and ALLSELECTED for resets
- Working with time intelligence: TOTALYTD, SAMEPERIODLASTYEAR
- Calculating moving averages and rolling sums
- Understanding EARLIER and nested row contexts
- Building cumulative totals and running balances
- Handling blank values with ISBLANK and COALESCE
- Creating percentage of total and market share metrics
- Using variables for cleaner, more efficient code
- Debugging common DAX errors and syntax issues
- Optimising measure performance for speed
- Reusing DAX expressions across reports
Module 7: Advanced DAX and Performance Optimisation - Context transition in calculated columns and measures
- Using RELATED and RELATEDTABLE for cross-table logic
- Implementing RANKX for competitive benchmarking
- Building dynamic segmentation with DAX
- Creating time-based cohorts and retention analysis
- Calculating month-on-month and quarter-on-quarter growth
- Implementing custom financial year calendars
- Using TREATAS for simulated relationships
- Applying USERELATIONSHIP for role-playing dimensions
- Optimising model size using summarisation techniques
- Reducing memory usage in large datasets
- Using DISCARD to drop unnecessary columns
- Managing calculation groups and templates
- Validating DAX logic with test datasets
- Analysing query plans and performance bottlenecks
- Building scalable measures for enterprise use
- Ensuring consistency across dashboards and reports
Module 8: Visualisation Strategy and Dashboard Design - Choosing the right chart type for your message
- Using bar, column, line, and area charts effectively
- Applying pie, donut, and funnel charts with caution
- Designing scatter plots and bubble charts for correlation
- Building maps for geographical insights
- Using gauges and KPIs for executive reporting
- Creating tables and matrices with conditional formatting
- Adding slicers and filters for interactive exploration
- Positioning visuals for optimal flow and readability
- Aligning elements using grid and layout tools
- Applying consistent colour schemes and fonts
- Setting up visual interactions and cross-filtering
- Using bookmarks for guided storytelling
- Adding titles, legends, and annotations strategically
- Designing mobile-optimised dashboards
- Ensuring accessibility for colour-blind users
- Minimising clutter with white space and focus
- A/B testing visual layouts for impact
- Using icons and imagery for faster comprehension
- Creating custom visual templates for reuse
Module 9: Interactive Reporting and Storytelling - Structuring reports for decision-maker audiences
- Building narrative flows from insight to action
- Using report pages as chapters in a story
- Creating drill-through pages for deeper analysis
- Adding drill-down capabilities to hierarchies
- Implementing cross-report navigation links
- Using buttons and actions for seamless flow
- Designing landing pages for executive summaries
- Adding tooltips for contextual details
- Building responsive layouts for various screen sizes
- Using Q&A visual to enable natural language queries
- Customising Q&A suggestions and synonyms
- Architecting dashboards for self-service exploration
- Writing clear labels and instructions for end users
- Adding data disclaimers and methodology notes
- Incorporating feedback loops into reporting design
- Testing usability with non-technical colleagues
- Iterating based on user interaction patterns
- Documenting design decisions for future reference
- Sharing best practices across teams
Module 10: Publishing, Sharing, and Collaboration - Publishing reports from Desktop to Power BI Service
- Understanding workspaces and app workspaces
- Adding team members and setting permissions
- Managing roles: admins, members, contributors, viewers
- Creating and managing apps for distribution
- Scheduling automatic data refreshes
- Configuring gateways for on-premises data
- Sharing dashboards with external partners securely
- Embedding reports in SharePoint or intranet portals
- Exporting to PDF and PowerPoint for presentations
- Setting up email subscriptions for key stakeholders
- Using annotations to collaborate in real time
- Adding comments and threaded discussions
- Tracking changes and version history
- Archiving outdated reports and dashboards
- Integrating with Microsoft Teams for live updates
- Monitoring user engagement with usage metrics
- Auditing access and sharing activity
- Enforcing compliance and data governance
- Backups and recovery planning
Module 11: Real-Time Data and Advanced Analytics - Streaming data with Power BI Streaming Datasets
- Connecting to Azure Stream Analytics
- Visualising live data from IoT devices
- Monitoring KPIs in real time with dashboards
- Setting up alerts for threshold breaches
- Using push datasets for API-driven updates
- Integrating Power Automate for automated actions
- Applying machine learning insights from Azure ML
- Using quick insights to discover patterns automatically
- Running forecasting models directly in Power BI
- Adding trend lines and statistical summaries
- Clustering customers using built-in analytics
- Building predictive models with low-code tools
- Interpreting statistical significance in reports
- Detecting anomalies in time series data
- Validating analytical outputs with domain knowledge
- Explaining advanced findings to non-technical leaders
- Embedding explainability into dashboard narratives
Module 12: Enterprise Governance and Security - Understanding Power BI security model architecture
- Applying row-level security (RLS) rules
- Creating dynamic RLS based on user roles
- Testing RLS with different user profiles
- Managing sensitivity labels and data classification
- Implementing data loss prevention (DLP) policies
- Setting up audit logs and monitoring access
- Handling compliance requirements: GDPR, HIPAA, SOX
- Using capacity metrics to manage resource usage
- Monitoring performance with admin dashboards
- Assigning tenant-level and workspace-level admins
- Managing Premium vs Pro licensing implications
- Optimising licensing costs across teams
- Planning for scalability and future growth
- Backing up and restoring critical assets
- Integrating with organisational identity providers
- Single sign-on (SSO) and multi-factor authentication (MFA)
- Creating a Power BI Centre of Excellence (CoE)
- Standardising naming conventions and metadata
- Building a self-service analytics culture safely
Module 13: Building Your Data Portfolio - Selecting high-impact projects for your portfolio
- Documenting business context and objectives
- Structuring case studies around problems and solutions
- Highlighting technical and soft skills demonstrated
- Creating before-and-after comparisons
- Measuring and showcasing impact metrics
- Using storytelling to make your work memorable
- Exporting visuals and reports professionally
- Adding projects to LinkedIn and personal websites
- Preparing to discuss your dashboards in interviews
- Receiving peer feedback to refine presentation
- Updating your resume with Power BI competencies
- Networking with data professionals online
- Joining Power BI communities and forums
- Contributing to open data initiatives
- Presenting at internal brown bag sessions
- Building credibility through consistent output
- Tracking personal growth and skill milestones
- Setting long-term data career goals
- Mapping skills to job market demands
Module 14: Real-World Projects and Application - Project 1: Sales Performance Dashboard
- Project 2: Marketing Campaign ROI Tracker
- Project 3: Financial Budget vs Actuals Report
- Project 4: HR Attrition and Retention Analysis
- Project 5: Supply Chain Inventory Dashboard
- Project 6: Customer Lifecycle Journey Map
- Project 7: Operational Efficiency Scorecard
- Project 8: Executive Leadership KPI Dashboard
- Designing data models for each project
- Writing custom DAX for business-specific metrics
- Transforming raw data into clean sources
- Building responsive, interactive visuals
- Creating intuitive navigation and filters
- Applying themes and branding
- Testing usability with sample audiences
- Documenting assumptions and logic
- Writing executive summaries for each project
- Exporting and sharing final deliverables
- Revising based on feedback
- Archiving and versioning your projects
Module 15: Certification, Career Growth, and Next Steps - Preparing for your final assessment
- Reviewing core concepts and practical skills
- Completing a capstone project demonstrating mastery
- Submitting your work for evaluation
- Earning your Certificate of Completion issued by The Art of Service
- Verifying your credential online
- Adding your certification to LinkedIn and résumés
- Understanding how employers view Power BI expertise
- Positioning yourself for promotions and raises
- Transitioning into data analyst, BI developer, or consultant roles
- Estimating ROI from salary increases and time savings
- Joining alumni networks for continued growth
- Accessing update libraries and new content
- Staying current with Power BI feature releases
- Exploring advanced certifications and pathways
- Teaching others and reinforcing your expertise
- Building internal training materials
- Leading data initiatives in your organisation
- Scaling impact beyond individual dashboards
- Continuing your learning with vetted resources
- Overview of Power BI Desktop, Service, and Mobile
- Installing and setting up Power BI Desktop correctly
- Navigating the interface with speed and precision
- Understanding workspaces, apps, and content packs
- Setting preferences for optimal performance
- Customising the ribbon and quick access toolbar
- Managing file formats and compatibility settings
- Importing and exporting projects seamlessly
- Using themes and templates for brand consistency
- Shortcuts and productivity techniques for faster navigation
Module 3: Data Acquisition and Source Integration - Connecting to Excel spreadsheets with structured formatting
- Importing data from CSV and text files
- Linking to SQL Server and other database platforms
- Accessing cloud-based sources like SharePoint and OneDrive
- Connecting to Azure and Dynamics 365 systems
- Using Web APIs to pull live data feeds
- Integrating Salesforce and CRM data
- Linking Google Analytics and marketing platforms
- Combining multiple data sources into a single model
- Setting refresh schedules for automated updates
Module 4: Data Cleaning and Transformation Techniques - Using Power Query Editor for advanced transformations
- Removing duplicates and handling missing values
- Splitting and merging columns efficiently
- Changing data types and formatting standards
- Filtering rows based on conditions and rules
- Pivoting and unpivoting data structures
- Creating custom columns with logical functions
- Applying conditional logic in data shaping
- Trimming whitespace and standardising text entries
- Handling inconsistent date and time formats
- Grouping rows by categories and aggregating values
- Reordering steps in the query editor for clarity
- Creating reusable query templates
- Managing privacy levels and data origins
- Optimising query performance for large datasets
Module 5: Data Modelling Fundamentals - Understanding star schema and dimensional modelling
- Creating fact and dimension tables correctly
- Defining relationships between tables
- Choosing between one-to-many and many-to-many relationships
- Setting cardinality and cross-filtering directions
- Managing active and inactive relationships
- Using bridge tables for complex scenarios
- Identifying and resolving circular dependency issues
- Optimising model size and performance
- Managing calculated columns vs measures effectively
- Using hierarchies in date and organisational data
- Creating user hierarchies for intuitive navigation
- Analyzing relationship strength and integrity
- Validating model accuracy with sample checks
- Documenting your data model for team collaboration
Module 6: Mastering DAX: The Language of Power BI - Introduction to DAX syntax and structure
- Distinguishing scalars, tables, and expressions
- Understanding evaluation context: row vs filter
- Using CALCULATE to modify filter context
- Writing SUM, AVERAGE, COUNT, and related aggregations
- Creating measures for dynamic calculations
- Using IF statements for conditional logic
- Applying SWITCH functions for multiple conditions
- Leveraging FILTER for context-specific results
- Using ALL, ALLEXCEPT, and ALLSELECTED for resets
- Working with time intelligence: TOTALYTD, SAMEPERIODLASTYEAR
- Calculating moving averages and rolling sums
- Understanding EARLIER and nested row contexts
- Building cumulative totals and running balances
- Handling blank values with ISBLANK and COALESCE
- Creating percentage of total and market share metrics
- Using variables for cleaner, more efficient code
- Debugging common DAX errors and syntax issues
- Optimising measure performance for speed
- Reusing DAX expressions across reports
Module 7: Advanced DAX and Performance Optimisation - Context transition in calculated columns and measures
- Using RELATED and RELATEDTABLE for cross-table logic
- Implementing RANKX for competitive benchmarking
- Building dynamic segmentation with DAX
- Creating time-based cohorts and retention analysis
- Calculating month-on-month and quarter-on-quarter growth
- Implementing custom financial year calendars
- Using TREATAS for simulated relationships
- Applying USERELATIONSHIP for role-playing dimensions
- Optimising model size using summarisation techniques
- Reducing memory usage in large datasets
- Using DISCARD to drop unnecessary columns
- Managing calculation groups and templates
- Validating DAX logic with test datasets
- Analysing query plans and performance bottlenecks
- Building scalable measures for enterprise use
- Ensuring consistency across dashboards and reports
Module 8: Visualisation Strategy and Dashboard Design - Choosing the right chart type for your message
- Using bar, column, line, and area charts effectively
- Applying pie, donut, and funnel charts with caution
- Designing scatter plots and bubble charts for correlation
- Building maps for geographical insights
- Using gauges and KPIs for executive reporting
- Creating tables and matrices with conditional formatting
- Adding slicers and filters for interactive exploration
- Positioning visuals for optimal flow and readability
- Aligning elements using grid and layout tools
- Applying consistent colour schemes and fonts
- Setting up visual interactions and cross-filtering
- Using bookmarks for guided storytelling
- Adding titles, legends, and annotations strategically
- Designing mobile-optimised dashboards
- Ensuring accessibility for colour-blind users
- Minimising clutter with white space and focus
- A/B testing visual layouts for impact
- Using icons and imagery for faster comprehension
- Creating custom visual templates for reuse
Module 9: Interactive Reporting and Storytelling - Structuring reports for decision-maker audiences
- Building narrative flows from insight to action
- Using report pages as chapters in a story
- Creating drill-through pages for deeper analysis
- Adding drill-down capabilities to hierarchies
- Implementing cross-report navigation links
- Using buttons and actions for seamless flow
- Designing landing pages for executive summaries
- Adding tooltips for contextual details
- Building responsive layouts for various screen sizes
- Using Q&A visual to enable natural language queries
- Customising Q&A suggestions and synonyms
- Architecting dashboards for self-service exploration
- Writing clear labels and instructions for end users
- Adding data disclaimers and methodology notes
- Incorporating feedback loops into reporting design
- Testing usability with non-technical colleagues
- Iterating based on user interaction patterns
- Documenting design decisions for future reference
- Sharing best practices across teams
Module 10: Publishing, Sharing, and Collaboration - Publishing reports from Desktop to Power BI Service
- Understanding workspaces and app workspaces
- Adding team members and setting permissions
- Managing roles: admins, members, contributors, viewers
- Creating and managing apps for distribution
- Scheduling automatic data refreshes
- Configuring gateways for on-premises data
- Sharing dashboards with external partners securely
- Embedding reports in SharePoint or intranet portals
- Exporting to PDF and PowerPoint for presentations
- Setting up email subscriptions for key stakeholders
- Using annotations to collaborate in real time
- Adding comments and threaded discussions
- Tracking changes and version history
- Archiving outdated reports and dashboards
- Integrating with Microsoft Teams for live updates
- Monitoring user engagement with usage metrics
- Auditing access and sharing activity
- Enforcing compliance and data governance
- Backups and recovery planning
Module 11: Real-Time Data and Advanced Analytics - Streaming data with Power BI Streaming Datasets
- Connecting to Azure Stream Analytics
- Visualising live data from IoT devices
- Monitoring KPIs in real time with dashboards
- Setting up alerts for threshold breaches
- Using push datasets for API-driven updates
- Integrating Power Automate for automated actions
- Applying machine learning insights from Azure ML
- Using quick insights to discover patterns automatically
- Running forecasting models directly in Power BI
- Adding trend lines and statistical summaries
- Clustering customers using built-in analytics
- Building predictive models with low-code tools
- Interpreting statistical significance in reports
- Detecting anomalies in time series data
- Validating analytical outputs with domain knowledge
- Explaining advanced findings to non-technical leaders
- Embedding explainability into dashboard narratives
Module 12: Enterprise Governance and Security - Understanding Power BI security model architecture
- Applying row-level security (RLS) rules
- Creating dynamic RLS based on user roles
- Testing RLS with different user profiles
- Managing sensitivity labels and data classification
- Implementing data loss prevention (DLP) policies
- Setting up audit logs and monitoring access
- Handling compliance requirements: GDPR, HIPAA, SOX
- Using capacity metrics to manage resource usage
- Monitoring performance with admin dashboards
- Assigning tenant-level and workspace-level admins
- Managing Premium vs Pro licensing implications
- Optimising licensing costs across teams
- Planning for scalability and future growth
- Backing up and restoring critical assets
- Integrating with organisational identity providers
- Single sign-on (SSO) and multi-factor authentication (MFA)
- Creating a Power BI Centre of Excellence (CoE)
- Standardising naming conventions and metadata
- Building a self-service analytics culture safely
Module 13: Building Your Data Portfolio - Selecting high-impact projects for your portfolio
- Documenting business context and objectives
- Structuring case studies around problems and solutions
- Highlighting technical and soft skills demonstrated
- Creating before-and-after comparisons
- Measuring and showcasing impact metrics
- Using storytelling to make your work memorable
- Exporting visuals and reports professionally
- Adding projects to LinkedIn and personal websites
- Preparing to discuss your dashboards in interviews
- Receiving peer feedback to refine presentation
- Updating your resume with Power BI competencies
- Networking with data professionals online
- Joining Power BI communities and forums
- Contributing to open data initiatives
- Presenting at internal brown bag sessions
- Building credibility through consistent output
- Tracking personal growth and skill milestones
- Setting long-term data career goals
- Mapping skills to job market demands
Module 14: Real-World Projects and Application - Project 1: Sales Performance Dashboard
- Project 2: Marketing Campaign ROI Tracker
- Project 3: Financial Budget vs Actuals Report
- Project 4: HR Attrition and Retention Analysis
- Project 5: Supply Chain Inventory Dashboard
- Project 6: Customer Lifecycle Journey Map
- Project 7: Operational Efficiency Scorecard
- Project 8: Executive Leadership KPI Dashboard
- Designing data models for each project
- Writing custom DAX for business-specific metrics
- Transforming raw data into clean sources
- Building responsive, interactive visuals
- Creating intuitive navigation and filters
- Applying themes and branding
- Testing usability with sample audiences
- Documenting assumptions and logic
- Writing executive summaries for each project
- Exporting and sharing final deliverables
- Revising based on feedback
- Archiving and versioning your projects
Module 15: Certification, Career Growth, and Next Steps - Preparing for your final assessment
- Reviewing core concepts and practical skills
- Completing a capstone project demonstrating mastery
- Submitting your work for evaluation
- Earning your Certificate of Completion issued by The Art of Service
- Verifying your credential online
- Adding your certification to LinkedIn and résumés
- Understanding how employers view Power BI expertise
- Positioning yourself for promotions and raises
- Transitioning into data analyst, BI developer, or consultant roles
- Estimating ROI from salary increases and time savings
- Joining alumni networks for continued growth
- Accessing update libraries and new content
- Staying current with Power BI feature releases
- Exploring advanced certifications and pathways
- Teaching others and reinforcing your expertise
- Building internal training materials
- Leading data initiatives in your organisation
- Scaling impact beyond individual dashboards
- Continuing your learning with vetted resources
- Using Power Query Editor for advanced transformations
- Removing duplicates and handling missing values
- Splitting and merging columns efficiently
- Changing data types and formatting standards
- Filtering rows based on conditions and rules
- Pivoting and unpivoting data structures
- Creating custom columns with logical functions
- Applying conditional logic in data shaping
- Trimming whitespace and standardising text entries
- Handling inconsistent date and time formats
- Grouping rows by categories and aggregating values
- Reordering steps in the query editor for clarity
- Creating reusable query templates
- Managing privacy levels and data origins
- Optimising query performance for large datasets
Module 5: Data Modelling Fundamentals - Understanding star schema and dimensional modelling
- Creating fact and dimension tables correctly
- Defining relationships between tables
- Choosing between one-to-many and many-to-many relationships
- Setting cardinality and cross-filtering directions
- Managing active and inactive relationships
- Using bridge tables for complex scenarios
- Identifying and resolving circular dependency issues
- Optimising model size and performance
- Managing calculated columns vs measures effectively
- Using hierarchies in date and organisational data
- Creating user hierarchies for intuitive navigation
- Analyzing relationship strength and integrity
- Validating model accuracy with sample checks
- Documenting your data model for team collaboration
Module 6: Mastering DAX: The Language of Power BI - Introduction to DAX syntax and structure
- Distinguishing scalars, tables, and expressions
- Understanding evaluation context: row vs filter
- Using CALCULATE to modify filter context
- Writing SUM, AVERAGE, COUNT, and related aggregations
- Creating measures for dynamic calculations
- Using IF statements for conditional logic
- Applying SWITCH functions for multiple conditions
- Leveraging FILTER for context-specific results
- Using ALL, ALLEXCEPT, and ALLSELECTED for resets
- Working with time intelligence: TOTALYTD, SAMEPERIODLASTYEAR
- Calculating moving averages and rolling sums
- Understanding EARLIER and nested row contexts
- Building cumulative totals and running balances
- Handling blank values with ISBLANK and COALESCE
- Creating percentage of total and market share metrics
- Using variables for cleaner, more efficient code
- Debugging common DAX errors and syntax issues
- Optimising measure performance for speed
- Reusing DAX expressions across reports
Module 7: Advanced DAX and Performance Optimisation - Context transition in calculated columns and measures
- Using RELATED and RELATEDTABLE for cross-table logic
- Implementing RANKX for competitive benchmarking
- Building dynamic segmentation with DAX
- Creating time-based cohorts and retention analysis
- Calculating month-on-month and quarter-on-quarter growth
- Implementing custom financial year calendars
- Using TREATAS for simulated relationships
- Applying USERELATIONSHIP for role-playing dimensions
- Optimising model size using summarisation techniques
- Reducing memory usage in large datasets
- Using DISCARD to drop unnecessary columns
- Managing calculation groups and templates
- Validating DAX logic with test datasets
- Analysing query plans and performance bottlenecks
- Building scalable measures for enterprise use
- Ensuring consistency across dashboards and reports
Module 8: Visualisation Strategy and Dashboard Design - Choosing the right chart type for your message
- Using bar, column, line, and area charts effectively
- Applying pie, donut, and funnel charts with caution
- Designing scatter plots and bubble charts for correlation
- Building maps for geographical insights
- Using gauges and KPIs for executive reporting
- Creating tables and matrices with conditional formatting
- Adding slicers and filters for interactive exploration
- Positioning visuals for optimal flow and readability
- Aligning elements using grid and layout tools
- Applying consistent colour schemes and fonts
- Setting up visual interactions and cross-filtering
- Using bookmarks for guided storytelling
- Adding titles, legends, and annotations strategically
- Designing mobile-optimised dashboards
- Ensuring accessibility for colour-blind users
- Minimising clutter with white space and focus
- A/B testing visual layouts for impact
- Using icons and imagery for faster comprehension
- Creating custom visual templates for reuse
Module 9: Interactive Reporting and Storytelling - Structuring reports for decision-maker audiences
- Building narrative flows from insight to action
- Using report pages as chapters in a story
- Creating drill-through pages for deeper analysis
- Adding drill-down capabilities to hierarchies
- Implementing cross-report navigation links
- Using buttons and actions for seamless flow
- Designing landing pages for executive summaries
- Adding tooltips for contextual details
- Building responsive layouts for various screen sizes
- Using Q&A visual to enable natural language queries
- Customising Q&A suggestions and synonyms
- Architecting dashboards for self-service exploration
- Writing clear labels and instructions for end users
- Adding data disclaimers and methodology notes
- Incorporating feedback loops into reporting design
- Testing usability with non-technical colleagues
- Iterating based on user interaction patterns
- Documenting design decisions for future reference
- Sharing best practices across teams
Module 10: Publishing, Sharing, and Collaboration - Publishing reports from Desktop to Power BI Service
- Understanding workspaces and app workspaces
- Adding team members and setting permissions
- Managing roles: admins, members, contributors, viewers
- Creating and managing apps for distribution
- Scheduling automatic data refreshes
- Configuring gateways for on-premises data
- Sharing dashboards with external partners securely
- Embedding reports in SharePoint or intranet portals
- Exporting to PDF and PowerPoint for presentations
- Setting up email subscriptions for key stakeholders
- Using annotations to collaborate in real time
- Adding comments and threaded discussions
- Tracking changes and version history
- Archiving outdated reports and dashboards
- Integrating with Microsoft Teams for live updates
- Monitoring user engagement with usage metrics
- Auditing access and sharing activity
- Enforcing compliance and data governance
- Backups and recovery planning
Module 11: Real-Time Data and Advanced Analytics - Streaming data with Power BI Streaming Datasets
- Connecting to Azure Stream Analytics
- Visualising live data from IoT devices
- Monitoring KPIs in real time with dashboards
- Setting up alerts for threshold breaches
- Using push datasets for API-driven updates
- Integrating Power Automate for automated actions
- Applying machine learning insights from Azure ML
- Using quick insights to discover patterns automatically
- Running forecasting models directly in Power BI
- Adding trend lines and statistical summaries
- Clustering customers using built-in analytics
- Building predictive models with low-code tools
- Interpreting statistical significance in reports
- Detecting anomalies in time series data
- Validating analytical outputs with domain knowledge
- Explaining advanced findings to non-technical leaders
- Embedding explainability into dashboard narratives
Module 12: Enterprise Governance and Security - Understanding Power BI security model architecture
- Applying row-level security (RLS) rules
- Creating dynamic RLS based on user roles
- Testing RLS with different user profiles
- Managing sensitivity labels and data classification
- Implementing data loss prevention (DLP) policies
- Setting up audit logs and monitoring access
- Handling compliance requirements: GDPR, HIPAA, SOX
- Using capacity metrics to manage resource usage
- Monitoring performance with admin dashboards
- Assigning tenant-level and workspace-level admins
- Managing Premium vs Pro licensing implications
- Optimising licensing costs across teams
- Planning for scalability and future growth
- Backing up and restoring critical assets
- Integrating with organisational identity providers
- Single sign-on (SSO) and multi-factor authentication (MFA)
- Creating a Power BI Centre of Excellence (CoE)
- Standardising naming conventions and metadata
- Building a self-service analytics culture safely
Module 13: Building Your Data Portfolio - Selecting high-impact projects for your portfolio
- Documenting business context and objectives
- Structuring case studies around problems and solutions
- Highlighting technical and soft skills demonstrated
- Creating before-and-after comparisons
- Measuring and showcasing impact metrics
- Using storytelling to make your work memorable
- Exporting visuals and reports professionally
- Adding projects to LinkedIn and personal websites
- Preparing to discuss your dashboards in interviews
- Receiving peer feedback to refine presentation
- Updating your resume with Power BI competencies
- Networking with data professionals online
- Joining Power BI communities and forums
- Contributing to open data initiatives
- Presenting at internal brown bag sessions
- Building credibility through consistent output
- Tracking personal growth and skill milestones
- Setting long-term data career goals
- Mapping skills to job market demands
Module 14: Real-World Projects and Application - Project 1: Sales Performance Dashboard
- Project 2: Marketing Campaign ROI Tracker
- Project 3: Financial Budget vs Actuals Report
- Project 4: HR Attrition and Retention Analysis
- Project 5: Supply Chain Inventory Dashboard
- Project 6: Customer Lifecycle Journey Map
- Project 7: Operational Efficiency Scorecard
- Project 8: Executive Leadership KPI Dashboard
- Designing data models for each project
- Writing custom DAX for business-specific metrics
- Transforming raw data into clean sources
- Building responsive, interactive visuals
- Creating intuitive navigation and filters
- Applying themes and branding
- Testing usability with sample audiences
- Documenting assumptions and logic
- Writing executive summaries for each project
- Exporting and sharing final deliverables
- Revising based on feedback
- Archiving and versioning your projects
Module 15: Certification, Career Growth, and Next Steps - Preparing for your final assessment
- Reviewing core concepts and practical skills
- Completing a capstone project demonstrating mastery
- Submitting your work for evaluation
- Earning your Certificate of Completion issued by The Art of Service
- Verifying your credential online
- Adding your certification to LinkedIn and résumés
- Understanding how employers view Power BI expertise
- Positioning yourself for promotions and raises
- Transitioning into data analyst, BI developer, or consultant roles
- Estimating ROI from salary increases and time savings
- Joining alumni networks for continued growth
- Accessing update libraries and new content
- Staying current with Power BI feature releases
- Exploring advanced certifications and pathways
- Teaching others and reinforcing your expertise
- Building internal training materials
- Leading data initiatives in your organisation
- Scaling impact beyond individual dashboards
- Continuing your learning with vetted resources
- Introduction to DAX syntax and structure
- Distinguishing scalars, tables, and expressions
- Understanding evaluation context: row vs filter
- Using CALCULATE to modify filter context
- Writing SUM, AVERAGE, COUNT, and related aggregations
- Creating measures for dynamic calculations
- Using IF statements for conditional logic
- Applying SWITCH functions for multiple conditions
- Leveraging FILTER for context-specific results
- Using ALL, ALLEXCEPT, and ALLSELECTED for resets
- Working with time intelligence: TOTALYTD, SAMEPERIODLASTYEAR
- Calculating moving averages and rolling sums
- Understanding EARLIER and nested row contexts
- Building cumulative totals and running balances
- Handling blank values with ISBLANK and COALESCE
- Creating percentage of total and market share metrics
- Using variables for cleaner, more efficient code
- Debugging common DAX errors and syntax issues
- Optimising measure performance for speed
- Reusing DAX expressions across reports
Module 7: Advanced DAX and Performance Optimisation - Context transition in calculated columns and measures
- Using RELATED and RELATEDTABLE for cross-table logic
- Implementing RANKX for competitive benchmarking
- Building dynamic segmentation with DAX
- Creating time-based cohorts and retention analysis
- Calculating month-on-month and quarter-on-quarter growth
- Implementing custom financial year calendars
- Using TREATAS for simulated relationships
- Applying USERELATIONSHIP for role-playing dimensions
- Optimising model size using summarisation techniques
- Reducing memory usage in large datasets
- Using DISCARD to drop unnecessary columns
- Managing calculation groups and templates
- Validating DAX logic with test datasets
- Analysing query plans and performance bottlenecks
- Building scalable measures for enterprise use
- Ensuring consistency across dashboards and reports
Module 8: Visualisation Strategy and Dashboard Design - Choosing the right chart type for your message
- Using bar, column, line, and area charts effectively
- Applying pie, donut, and funnel charts with caution
- Designing scatter plots and bubble charts for correlation
- Building maps for geographical insights
- Using gauges and KPIs for executive reporting
- Creating tables and matrices with conditional formatting
- Adding slicers and filters for interactive exploration
- Positioning visuals for optimal flow and readability
- Aligning elements using grid and layout tools
- Applying consistent colour schemes and fonts
- Setting up visual interactions and cross-filtering
- Using bookmarks for guided storytelling
- Adding titles, legends, and annotations strategically
- Designing mobile-optimised dashboards
- Ensuring accessibility for colour-blind users
- Minimising clutter with white space and focus
- A/B testing visual layouts for impact
- Using icons and imagery for faster comprehension
- Creating custom visual templates for reuse
Module 9: Interactive Reporting and Storytelling - Structuring reports for decision-maker audiences
- Building narrative flows from insight to action
- Using report pages as chapters in a story
- Creating drill-through pages for deeper analysis
- Adding drill-down capabilities to hierarchies
- Implementing cross-report navigation links
- Using buttons and actions for seamless flow
- Designing landing pages for executive summaries
- Adding tooltips for contextual details
- Building responsive layouts for various screen sizes
- Using Q&A visual to enable natural language queries
- Customising Q&A suggestions and synonyms
- Architecting dashboards for self-service exploration
- Writing clear labels and instructions for end users
- Adding data disclaimers and methodology notes
- Incorporating feedback loops into reporting design
- Testing usability with non-technical colleagues
- Iterating based on user interaction patterns
- Documenting design decisions for future reference
- Sharing best practices across teams
Module 10: Publishing, Sharing, and Collaboration - Publishing reports from Desktop to Power BI Service
- Understanding workspaces and app workspaces
- Adding team members and setting permissions
- Managing roles: admins, members, contributors, viewers
- Creating and managing apps for distribution
- Scheduling automatic data refreshes
- Configuring gateways for on-premises data
- Sharing dashboards with external partners securely
- Embedding reports in SharePoint or intranet portals
- Exporting to PDF and PowerPoint for presentations
- Setting up email subscriptions for key stakeholders
- Using annotations to collaborate in real time
- Adding comments and threaded discussions
- Tracking changes and version history
- Archiving outdated reports and dashboards
- Integrating with Microsoft Teams for live updates
- Monitoring user engagement with usage metrics
- Auditing access and sharing activity
- Enforcing compliance and data governance
- Backups and recovery planning
Module 11: Real-Time Data and Advanced Analytics - Streaming data with Power BI Streaming Datasets
- Connecting to Azure Stream Analytics
- Visualising live data from IoT devices
- Monitoring KPIs in real time with dashboards
- Setting up alerts for threshold breaches
- Using push datasets for API-driven updates
- Integrating Power Automate for automated actions
- Applying machine learning insights from Azure ML
- Using quick insights to discover patterns automatically
- Running forecasting models directly in Power BI
- Adding trend lines and statistical summaries
- Clustering customers using built-in analytics
- Building predictive models with low-code tools
- Interpreting statistical significance in reports
- Detecting anomalies in time series data
- Validating analytical outputs with domain knowledge
- Explaining advanced findings to non-technical leaders
- Embedding explainability into dashboard narratives
Module 12: Enterprise Governance and Security - Understanding Power BI security model architecture
- Applying row-level security (RLS) rules
- Creating dynamic RLS based on user roles
- Testing RLS with different user profiles
- Managing sensitivity labels and data classification
- Implementing data loss prevention (DLP) policies
- Setting up audit logs and monitoring access
- Handling compliance requirements: GDPR, HIPAA, SOX
- Using capacity metrics to manage resource usage
- Monitoring performance with admin dashboards
- Assigning tenant-level and workspace-level admins
- Managing Premium vs Pro licensing implications
- Optimising licensing costs across teams
- Planning for scalability and future growth
- Backing up and restoring critical assets
- Integrating with organisational identity providers
- Single sign-on (SSO) and multi-factor authentication (MFA)
- Creating a Power BI Centre of Excellence (CoE)
- Standardising naming conventions and metadata
- Building a self-service analytics culture safely
Module 13: Building Your Data Portfolio - Selecting high-impact projects for your portfolio
- Documenting business context and objectives
- Structuring case studies around problems and solutions
- Highlighting technical and soft skills demonstrated
- Creating before-and-after comparisons
- Measuring and showcasing impact metrics
- Using storytelling to make your work memorable
- Exporting visuals and reports professionally
- Adding projects to LinkedIn and personal websites
- Preparing to discuss your dashboards in interviews
- Receiving peer feedback to refine presentation
- Updating your resume with Power BI competencies
- Networking with data professionals online
- Joining Power BI communities and forums
- Contributing to open data initiatives
- Presenting at internal brown bag sessions
- Building credibility through consistent output
- Tracking personal growth and skill milestones
- Setting long-term data career goals
- Mapping skills to job market demands
Module 14: Real-World Projects and Application - Project 1: Sales Performance Dashboard
- Project 2: Marketing Campaign ROI Tracker
- Project 3: Financial Budget vs Actuals Report
- Project 4: HR Attrition and Retention Analysis
- Project 5: Supply Chain Inventory Dashboard
- Project 6: Customer Lifecycle Journey Map
- Project 7: Operational Efficiency Scorecard
- Project 8: Executive Leadership KPI Dashboard
- Designing data models for each project
- Writing custom DAX for business-specific metrics
- Transforming raw data into clean sources
- Building responsive, interactive visuals
- Creating intuitive navigation and filters
- Applying themes and branding
- Testing usability with sample audiences
- Documenting assumptions and logic
- Writing executive summaries for each project
- Exporting and sharing final deliverables
- Revising based on feedback
- Archiving and versioning your projects
Module 15: Certification, Career Growth, and Next Steps - Preparing for your final assessment
- Reviewing core concepts and practical skills
- Completing a capstone project demonstrating mastery
- Submitting your work for evaluation
- Earning your Certificate of Completion issued by The Art of Service
- Verifying your credential online
- Adding your certification to LinkedIn and résumés
- Understanding how employers view Power BI expertise
- Positioning yourself for promotions and raises
- Transitioning into data analyst, BI developer, or consultant roles
- Estimating ROI from salary increases and time savings
- Joining alumni networks for continued growth
- Accessing update libraries and new content
- Staying current with Power BI feature releases
- Exploring advanced certifications and pathways
- Teaching others and reinforcing your expertise
- Building internal training materials
- Leading data initiatives in your organisation
- Scaling impact beyond individual dashboards
- Continuing your learning with vetted resources
- Choosing the right chart type for your message
- Using bar, column, line, and area charts effectively
- Applying pie, donut, and funnel charts with caution
- Designing scatter plots and bubble charts for correlation
- Building maps for geographical insights
- Using gauges and KPIs for executive reporting
- Creating tables and matrices with conditional formatting
- Adding slicers and filters for interactive exploration
- Positioning visuals for optimal flow and readability
- Aligning elements using grid and layout tools
- Applying consistent colour schemes and fonts
- Setting up visual interactions and cross-filtering
- Using bookmarks for guided storytelling
- Adding titles, legends, and annotations strategically
- Designing mobile-optimised dashboards
- Ensuring accessibility for colour-blind users
- Minimising clutter with white space and focus
- A/B testing visual layouts for impact
- Using icons and imagery for faster comprehension
- Creating custom visual templates for reuse
Module 9: Interactive Reporting and Storytelling - Structuring reports for decision-maker audiences
- Building narrative flows from insight to action
- Using report pages as chapters in a story
- Creating drill-through pages for deeper analysis
- Adding drill-down capabilities to hierarchies
- Implementing cross-report navigation links
- Using buttons and actions for seamless flow
- Designing landing pages for executive summaries
- Adding tooltips for contextual details
- Building responsive layouts for various screen sizes
- Using Q&A visual to enable natural language queries
- Customising Q&A suggestions and synonyms
- Architecting dashboards for self-service exploration
- Writing clear labels and instructions for end users
- Adding data disclaimers and methodology notes
- Incorporating feedback loops into reporting design
- Testing usability with non-technical colleagues
- Iterating based on user interaction patterns
- Documenting design decisions for future reference
- Sharing best practices across teams
Module 10: Publishing, Sharing, and Collaboration - Publishing reports from Desktop to Power BI Service
- Understanding workspaces and app workspaces
- Adding team members and setting permissions
- Managing roles: admins, members, contributors, viewers
- Creating and managing apps for distribution
- Scheduling automatic data refreshes
- Configuring gateways for on-premises data
- Sharing dashboards with external partners securely
- Embedding reports in SharePoint or intranet portals
- Exporting to PDF and PowerPoint for presentations
- Setting up email subscriptions for key stakeholders
- Using annotations to collaborate in real time
- Adding comments and threaded discussions
- Tracking changes and version history
- Archiving outdated reports and dashboards
- Integrating with Microsoft Teams for live updates
- Monitoring user engagement with usage metrics
- Auditing access and sharing activity
- Enforcing compliance and data governance
- Backups and recovery planning
Module 11: Real-Time Data and Advanced Analytics - Streaming data with Power BI Streaming Datasets
- Connecting to Azure Stream Analytics
- Visualising live data from IoT devices
- Monitoring KPIs in real time with dashboards
- Setting up alerts for threshold breaches
- Using push datasets for API-driven updates
- Integrating Power Automate for automated actions
- Applying machine learning insights from Azure ML
- Using quick insights to discover patterns automatically
- Running forecasting models directly in Power BI
- Adding trend lines and statistical summaries
- Clustering customers using built-in analytics
- Building predictive models with low-code tools
- Interpreting statistical significance in reports
- Detecting anomalies in time series data
- Validating analytical outputs with domain knowledge
- Explaining advanced findings to non-technical leaders
- Embedding explainability into dashboard narratives
Module 12: Enterprise Governance and Security - Understanding Power BI security model architecture
- Applying row-level security (RLS) rules
- Creating dynamic RLS based on user roles
- Testing RLS with different user profiles
- Managing sensitivity labels and data classification
- Implementing data loss prevention (DLP) policies
- Setting up audit logs and monitoring access
- Handling compliance requirements: GDPR, HIPAA, SOX
- Using capacity metrics to manage resource usage
- Monitoring performance with admin dashboards
- Assigning tenant-level and workspace-level admins
- Managing Premium vs Pro licensing implications
- Optimising licensing costs across teams
- Planning for scalability and future growth
- Backing up and restoring critical assets
- Integrating with organisational identity providers
- Single sign-on (SSO) and multi-factor authentication (MFA)
- Creating a Power BI Centre of Excellence (CoE)
- Standardising naming conventions and metadata
- Building a self-service analytics culture safely
Module 13: Building Your Data Portfolio - Selecting high-impact projects for your portfolio
- Documenting business context and objectives
- Structuring case studies around problems and solutions
- Highlighting technical and soft skills demonstrated
- Creating before-and-after comparisons
- Measuring and showcasing impact metrics
- Using storytelling to make your work memorable
- Exporting visuals and reports professionally
- Adding projects to LinkedIn and personal websites
- Preparing to discuss your dashboards in interviews
- Receiving peer feedback to refine presentation
- Updating your resume with Power BI competencies
- Networking with data professionals online
- Joining Power BI communities and forums
- Contributing to open data initiatives
- Presenting at internal brown bag sessions
- Building credibility through consistent output
- Tracking personal growth and skill milestones
- Setting long-term data career goals
- Mapping skills to job market demands
Module 14: Real-World Projects and Application - Project 1: Sales Performance Dashboard
- Project 2: Marketing Campaign ROI Tracker
- Project 3: Financial Budget vs Actuals Report
- Project 4: HR Attrition and Retention Analysis
- Project 5: Supply Chain Inventory Dashboard
- Project 6: Customer Lifecycle Journey Map
- Project 7: Operational Efficiency Scorecard
- Project 8: Executive Leadership KPI Dashboard
- Designing data models for each project
- Writing custom DAX for business-specific metrics
- Transforming raw data into clean sources
- Building responsive, interactive visuals
- Creating intuitive navigation and filters
- Applying themes and branding
- Testing usability with sample audiences
- Documenting assumptions and logic
- Writing executive summaries for each project
- Exporting and sharing final deliverables
- Revising based on feedback
- Archiving and versioning your projects
Module 15: Certification, Career Growth, and Next Steps - Preparing for your final assessment
- Reviewing core concepts and practical skills
- Completing a capstone project demonstrating mastery
- Submitting your work for evaluation
- Earning your Certificate of Completion issued by The Art of Service
- Verifying your credential online
- Adding your certification to LinkedIn and résumés
- Understanding how employers view Power BI expertise
- Positioning yourself for promotions and raises
- Transitioning into data analyst, BI developer, or consultant roles
- Estimating ROI from salary increases and time savings
- Joining alumni networks for continued growth
- Accessing update libraries and new content
- Staying current with Power BI feature releases
- Exploring advanced certifications and pathways
- Teaching others and reinforcing your expertise
- Building internal training materials
- Leading data initiatives in your organisation
- Scaling impact beyond individual dashboards
- Continuing your learning with vetted resources
- Publishing reports from Desktop to Power BI Service
- Understanding workspaces and app workspaces
- Adding team members and setting permissions
- Managing roles: admins, members, contributors, viewers
- Creating and managing apps for distribution
- Scheduling automatic data refreshes
- Configuring gateways for on-premises data
- Sharing dashboards with external partners securely
- Embedding reports in SharePoint or intranet portals
- Exporting to PDF and PowerPoint for presentations
- Setting up email subscriptions for key stakeholders
- Using annotations to collaborate in real time
- Adding comments and threaded discussions
- Tracking changes and version history
- Archiving outdated reports and dashboards
- Integrating with Microsoft Teams for live updates
- Monitoring user engagement with usage metrics
- Auditing access and sharing activity
- Enforcing compliance and data governance
- Backups and recovery planning
Module 11: Real-Time Data and Advanced Analytics - Streaming data with Power BI Streaming Datasets
- Connecting to Azure Stream Analytics
- Visualising live data from IoT devices
- Monitoring KPIs in real time with dashboards
- Setting up alerts for threshold breaches
- Using push datasets for API-driven updates
- Integrating Power Automate for automated actions
- Applying machine learning insights from Azure ML
- Using quick insights to discover patterns automatically
- Running forecasting models directly in Power BI
- Adding trend lines and statistical summaries
- Clustering customers using built-in analytics
- Building predictive models with low-code tools
- Interpreting statistical significance in reports
- Detecting anomalies in time series data
- Validating analytical outputs with domain knowledge
- Explaining advanced findings to non-technical leaders
- Embedding explainability into dashboard narratives
Module 12: Enterprise Governance and Security - Understanding Power BI security model architecture
- Applying row-level security (RLS) rules
- Creating dynamic RLS based on user roles
- Testing RLS with different user profiles
- Managing sensitivity labels and data classification
- Implementing data loss prevention (DLP) policies
- Setting up audit logs and monitoring access
- Handling compliance requirements: GDPR, HIPAA, SOX
- Using capacity metrics to manage resource usage
- Monitoring performance with admin dashboards
- Assigning tenant-level and workspace-level admins
- Managing Premium vs Pro licensing implications
- Optimising licensing costs across teams
- Planning for scalability and future growth
- Backing up and restoring critical assets
- Integrating with organisational identity providers
- Single sign-on (SSO) and multi-factor authentication (MFA)
- Creating a Power BI Centre of Excellence (CoE)
- Standardising naming conventions and metadata
- Building a self-service analytics culture safely
Module 13: Building Your Data Portfolio - Selecting high-impact projects for your portfolio
- Documenting business context and objectives
- Structuring case studies around problems and solutions
- Highlighting technical and soft skills demonstrated
- Creating before-and-after comparisons
- Measuring and showcasing impact metrics
- Using storytelling to make your work memorable
- Exporting visuals and reports professionally
- Adding projects to LinkedIn and personal websites
- Preparing to discuss your dashboards in interviews
- Receiving peer feedback to refine presentation
- Updating your resume with Power BI competencies
- Networking with data professionals online
- Joining Power BI communities and forums
- Contributing to open data initiatives
- Presenting at internal brown bag sessions
- Building credibility through consistent output
- Tracking personal growth and skill milestones
- Setting long-term data career goals
- Mapping skills to job market demands
Module 14: Real-World Projects and Application - Project 1: Sales Performance Dashboard
- Project 2: Marketing Campaign ROI Tracker
- Project 3: Financial Budget vs Actuals Report
- Project 4: HR Attrition and Retention Analysis
- Project 5: Supply Chain Inventory Dashboard
- Project 6: Customer Lifecycle Journey Map
- Project 7: Operational Efficiency Scorecard
- Project 8: Executive Leadership KPI Dashboard
- Designing data models for each project
- Writing custom DAX for business-specific metrics
- Transforming raw data into clean sources
- Building responsive, interactive visuals
- Creating intuitive navigation and filters
- Applying themes and branding
- Testing usability with sample audiences
- Documenting assumptions and logic
- Writing executive summaries for each project
- Exporting and sharing final deliverables
- Revising based on feedback
- Archiving and versioning your projects
Module 15: Certification, Career Growth, and Next Steps - Preparing for your final assessment
- Reviewing core concepts and practical skills
- Completing a capstone project demonstrating mastery
- Submitting your work for evaluation
- Earning your Certificate of Completion issued by The Art of Service
- Verifying your credential online
- Adding your certification to LinkedIn and résumés
- Understanding how employers view Power BI expertise
- Positioning yourself for promotions and raises
- Transitioning into data analyst, BI developer, or consultant roles
- Estimating ROI from salary increases and time savings
- Joining alumni networks for continued growth
- Accessing update libraries and new content
- Staying current with Power BI feature releases
- Exploring advanced certifications and pathways
- Teaching others and reinforcing your expertise
- Building internal training materials
- Leading data initiatives in your organisation
- Scaling impact beyond individual dashboards
- Continuing your learning with vetted resources
- Understanding Power BI security model architecture
- Applying row-level security (RLS) rules
- Creating dynamic RLS based on user roles
- Testing RLS with different user profiles
- Managing sensitivity labels and data classification
- Implementing data loss prevention (DLP) policies
- Setting up audit logs and monitoring access
- Handling compliance requirements: GDPR, HIPAA, SOX
- Using capacity metrics to manage resource usage
- Monitoring performance with admin dashboards
- Assigning tenant-level and workspace-level admins
- Managing Premium vs Pro licensing implications
- Optimising licensing costs across teams
- Planning for scalability and future growth
- Backing up and restoring critical assets
- Integrating with organisational identity providers
- Single sign-on (SSO) and multi-factor authentication (MFA)
- Creating a Power BI Centre of Excellence (CoE)
- Standardising naming conventions and metadata
- Building a self-service analytics culture safely
Module 13: Building Your Data Portfolio - Selecting high-impact projects for your portfolio
- Documenting business context and objectives
- Structuring case studies around problems and solutions
- Highlighting technical and soft skills demonstrated
- Creating before-and-after comparisons
- Measuring and showcasing impact metrics
- Using storytelling to make your work memorable
- Exporting visuals and reports professionally
- Adding projects to LinkedIn and personal websites
- Preparing to discuss your dashboards in interviews
- Receiving peer feedback to refine presentation
- Updating your resume with Power BI competencies
- Networking with data professionals online
- Joining Power BI communities and forums
- Contributing to open data initiatives
- Presenting at internal brown bag sessions
- Building credibility through consistent output
- Tracking personal growth and skill milestones
- Setting long-term data career goals
- Mapping skills to job market demands
Module 14: Real-World Projects and Application - Project 1: Sales Performance Dashboard
- Project 2: Marketing Campaign ROI Tracker
- Project 3: Financial Budget vs Actuals Report
- Project 4: HR Attrition and Retention Analysis
- Project 5: Supply Chain Inventory Dashboard
- Project 6: Customer Lifecycle Journey Map
- Project 7: Operational Efficiency Scorecard
- Project 8: Executive Leadership KPI Dashboard
- Designing data models for each project
- Writing custom DAX for business-specific metrics
- Transforming raw data into clean sources
- Building responsive, interactive visuals
- Creating intuitive navigation and filters
- Applying themes and branding
- Testing usability with sample audiences
- Documenting assumptions and logic
- Writing executive summaries for each project
- Exporting and sharing final deliverables
- Revising based on feedback
- Archiving and versioning your projects
Module 15: Certification, Career Growth, and Next Steps - Preparing for your final assessment
- Reviewing core concepts and practical skills
- Completing a capstone project demonstrating mastery
- Submitting your work for evaluation
- Earning your Certificate of Completion issued by The Art of Service
- Verifying your credential online
- Adding your certification to LinkedIn and résumés
- Understanding how employers view Power BI expertise
- Positioning yourself for promotions and raises
- Transitioning into data analyst, BI developer, or consultant roles
- Estimating ROI from salary increases and time savings
- Joining alumni networks for continued growth
- Accessing update libraries and new content
- Staying current with Power BI feature releases
- Exploring advanced certifications and pathways
- Teaching others and reinforcing your expertise
- Building internal training materials
- Leading data initiatives in your organisation
- Scaling impact beyond individual dashboards
- Continuing your learning with vetted resources
- Project 1: Sales Performance Dashboard
- Project 2: Marketing Campaign ROI Tracker
- Project 3: Financial Budget vs Actuals Report
- Project 4: HR Attrition and Retention Analysis
- Project 5: Supply Chain Inventory Dashboard
- Project 6: Customer Lifecycle Journey Map
- Project 7: Operational Efficiency Scorecard
- Project 8: Executive Leadership KPI Dashboard
- Designing data models for each project
- Writing custom DAX for business-specific metrics
- Transforming raw data into clean sources
- Building responsive, interactive visuals
- Creating intuitive navigation and filters
- Applying themes and branding
- Testing usability with sample audiences
- Documenting assumptions and logic
- Writing executive summaries for each project
- Exporting and sharing final deliverables
- Revising based on feedback
- Archiving and versioning your projects