Mastering Qlik for Data-Driven Decision Making
You're under pressure. Leadership demands insights, not data dumps. Stakeholders expect clarity, not confusion. Yet most reports sit unread, misunderstood, or worse-misused. The cost of uncertainty is real: delayed decisions, missed opportunities, eroded trust. You know the answer lies in data, but translating it into actionable intelligence feels like speaking a foreign language. What if you could turn complex datasets into compelling narratives that drive action? What if your dashboards didn’t just display information-but influenced strategy, secured buy-in, and fast-tracked your career? The bridge between where you are and where you want to be isn’t another tool or certification. It’s mastery. Real, applied, confident command of Mastering Qlik for Data-Driven Decision Making. This course equips you to go from overwhelmed to authoritative in 30 days-building board-ready dashboards, delivering insights that close gaps, and presenting data in ways that align executives, analysts, and operations. You’ll complete a fully functional Qlik project that solves a real business problem, ready to showcase in your portfolio or deploy tomorrow. Take Sarah Chen, Senior Business Analyst at a Fortune 500 healthcare provider. After completing this course, she redesigned her organisation’s regional performance dashboard, cutting report generation time by 70% and enabling proactive identification of underperforming clinics. Her work was adopted enterprise-wide, and she was promoted within six months. That’s not luck. That’s the outcome of structured, practical mastery. What separates this from every other training is its singular focus: career ROI through real impact. No theory without application. No concepts without context. Every module answers one question-“How does this help me make better decisions, faster?” The transformation starts with clarity. And confidence. And control. Here’s how this course is structured to help you get there.Course Format & Delivery Details Self-Paced, On-Demand, and Built for Real Professionals
This is not a classroom experience. Mastering Qlik for Data-Driven Decision Making is designed for working analysts, data leads, and decision architects who need results-not lectures. From the moment you enrol, you gain secure online access to the full curriculum, structured to let you progress at your own pace, on your schedule, without fixed start dates or deadlines. Most learners complete the core material in 25–30 hours, with many delivering their first high-impact dashboard within the first week. The fastest path to results? Dedicate 1–2 hours per day. Within 10 days, you’ll have built your first executive-grade visualisation, applied filtering logic, and connected real-world data sources-giving you visible momentum and confidence. Lifetime Access, Zero Time Pressure
Your investment includes lifetime access to all course content. That means every future update-new modules, refreshed Qlik features, evolving best practices-is yours at no additional cost. Technology shifts. Your mastery stays current. Access works 24/7 from any device. Whether you're reviewing a lesson on your tablet during a commute or finalising a dashboard on your desktop at midnight, the platform is fully mobile-friendly and responsive. Global professionals in Australia, Germany, Canada, and Singapore use this course daily-because it fits their reality. Expert Guidance When You Need It
You’re not on your own. Throughout the course, you’ll have direct access to instructor support via structured feedback channels. Whether you're stuck on set analysis syntax or refining a KPI dashboard for leadership, expert guidance is built into critical milestones. This isn’t a forum full of delayed replies. It’s targeted, professional support focused on unblocking your progress. Certificate of Completion Issued by The Art of Service
Upon finishing the course and submitting your capstone project, you’ll receive a Certificate of Completion issued by The Art of Service-a globally recognised training authority with over 300 000 professionals trained across 147 countries. This certificate is not just a PDF. It’s a verifiable credential that signals your ability to deliver insight, not just charts. Recruiters and hiring managers recognise it. Promotions committees respect it. No Hidden Fees. No Risk. Full Peace of Mind.
The pricing is transparent and straightforward. What you see is what you pay-no recurring charges, no tiered access, no surprise fees. We accept major payment methods including Visa, Mastercard, and PayPal, processed securely through encrypted gateways. If at any point you feel this course isn’t delivering exceptional value, we offer a 30-day money-back guarantee. No forms, no questions, no stress. This is our promise: you walk away either transformed or refunded. That’s how confident we are in the outcome. What Happens After Enrollment?
After you enrol, you’ll receive a confirmation email. Shortly after, your access details will be sent separately, containing login instructions and set-up guidance. All materials are hosted on a secure, high-availability learning platform designed for enterprise-grade reliability. Will This Work for Me?
Yes-even if you’ve struggled with Qlik before, even if you’re not “technical,” even if your current dashboards are static or ignored. This course was built for real people with real jobs. One business intelligence manager told us: “I’ve taken three Qlik courses. This was the only one where I built something useful on Day 2.” It works because the learning isn’t abstract. It’s sequenced, scaffolded, and tied to real-world outcomes. You start with your actual data, your real KPIs, and your organisational goals. The templates, frameworks, and workflows are battle-tested across finance, supply chain, healthcare, and retail environments. This works even if: - You’ve never published a Qlik dashboard before
- Your data is messy, fragmented, or siloed
- You’re time-poor and need fast, tangible progress
- You’re not a data scientist but need to act like one
- You’re transitioning from Excel, Power BI, or Tableau
We eliminate risk with structure, not hype. Your success is built into the design.
Module 1: Foundations of Data-Driven Thinking in Qlik - Understanding the role of Qlik in modern decision ecosystems
- Differentiating insight from visualisation in business contexts
- Core principles of associative data modelling
- How Qlik’s in-memory engine enables real-time exploration
- Defining success: From report consumer to insight architect
- Identifying high-impact use cases for your organisation
- Mapping stakeholder needs to analytical outcomes
- Setting measurable goals for dashboard effectiveness
- Establishing baseline metrics for tracking progress
- Creating your personal learning roadmap
Module 2: Navigating the Qlik Environment with Confidence - Interface overview: Hub, Workbench, and Management Console
- Understanding Qlik Sense versus QlikView workflows
- Navigating sheets, stories, and apps efficiently
- Using bookmarks and selections to guide analysis
- Mastering the selection toolbar and filter panels
- Configuring user preferences for optimal workflow
- Organising assets with naming conventions and metadata
- Accessing help resources and contextual guidance
- Setting up your first project workspace
- Configuring default visualisations and themes
Module 3: Data Ingestion and Connection Strategies - Connecting to Excel, CSV, and flat file sources
- Linking to relational databases: SQL Server, Oracle, MySQL
- Integrating cloud data platforms: Snowflake, Google BigQuery
- Using REST APIs to pull live web data
- Configuring ODBC and OLE DB connections
- Understanding data load scripts and their structure
- Writing basic LOAD statements with FROM clauses
- Renaming fields and applying aliases during load
- Handling date and time formatting at ingestion
- Managing data types: string, numeric, date, timestamp
- Detecting and correcting encoding issues
- Using data preview and sample modes for debugging
- Automating data refresh intervals
- Securing credentials with encrypted connection strings
- Validating data integrity post-load
Module 4: Data Modelling and Transformation - Understanding star, snowflake, and mixed schemas
- Identifying and resolving synthetic keys
- Creating composite keys for complex joins
- Using JOIN, CONCATENATE, and UNION operations
- Applying WHERE clauses to filter during load
- Transforming data with ApplyMap for lookups
- Using IntervalMatch for time-based associations
- Pivoting data with Crosstable function
- Unpivoting columns into rows for analysis
- Handling slowly changing dimensions (SCD)
- Implementing incremental loads for efficiency
- Creating calculated fields during data load
- Using Peek and Previous functions for logic
- Debugging scripts with Comment and Trace
- Documenting script logic for team collaboration
Module 5: Building High-Performance Dashboards - Selecting the right chart type for your message
- Designing for executive consumption: Less is more
- Using KPIs, gauges, and headline metrics
- Creating bar, column, line, and combo charts
- Building scatter plots and distribution visuals
- Implementing tables with conditional formatting
- Using pie, donut, and treemap charts strategically
- Adding reference lines and trend indicators
- Configuring chart axes, labels, and legends
- Applying sorting logic for clarity
- Using colour psychology to guide attention
- Ensuring accessibility with contrast and labels
- Optimising for mobile and tablet views
- Setting up responsive layout grids
- Testing dashboard usability with dummy data
Module 6: Mastering Expressions and Calculations - Understanding aggregation functions: Sum, Count, Avg
- Using set analysis for advanced filtering
- Building expressions with syntax rules and best practices
- Dynamic labels with calculated text
- Using IF statements in expressions
- Implementing Pick and Match for branching logic
- Creating cyclic groups with Dollar Sign Expansion
- Using variables to simplify complex expressions
- Defining and reusing variables across objects
- Calculating year-over-year growth with rangesum
- Implementing moving averages and window functions
- Using Above, Below, and Range functions
- Building dynamic totals and subtotals
- Creating custom labels based on conditions
- Debugging expression errors step by step
Module 7: Implementing Interactive User Experiences - Designing intuitive navigation paths
- Using buttons and action triggers effectively
- Creating drill-down hierarchies in charts
- Implementing master items for consistency
- Building dynamic filter panes and sliders
- Using input boxes for user-driven parameters
- Linking selections across multiple sheets
- Isolating selections with alternate states
- Creating comparative analysis with Bookmarks
- Using storyboards to guide stakeholder walkthroughs
- Adding explanatory text boxes and annotations
- Implementing tooltips with rich content
- Designing for non-technical users
- Adding search functionality for large datasets
- Testing interaction flow across devices
Module 8: Advanced Data Visualisation Techniques - Building heatmaps for performance analysis
- Creating waterfall charts for financial insights
- Visualising funnel metrics for conversion tracking
- Implementing pivot tables for multidimensional analysis
- Using geo maps with custom location data
- Integrating satellite and street views
- Adding custom shapes and icons to visuals
- Using extension objects from Qlik Marketplace
- Embedding web content with iframe objects
- Customising chart colours by dimension value
- Applying gradients and transparency
- Using dynamic size and colour scaling
- Creating conditional display rules
- Implementing responsive sizing for multi-device use
- Validating visual clarity under different lighting
Module 9: Performance Optimisation and Scalability - Measuring app performance with reload time metrics
- Reducing data footprint with field reduction
- Optimising expressions for speed
- Using flags and binary indicators for efficiency
- Implementing binary loads for reuse
- Architecting modular apps for scaling
- Splitting large apps into components
- Managing memory usage during design
- Using Section Access for data security
- Testing performance under heavy user load
- Applying indexing strategies for faster response
- Monitoring CPU and RAM consumption
- Creating lightweight dashboards for mobile users
- Using partial reloads for live updates
- Documenting performance decisions for audit
Module 10: Security, Deployment, and Collaboration - Understanding Qlik’s security architecture
- Setting up user roles and access levels
- Configuring Section Access with Excel tables
- Implementing row-level and field-level security
- Publishing apps to Qlik Sense Enterprise
- Using streams to organise content
- Scheduling automated reloads
- Monitoring app usage with usage metrics
- Exporting reports to PDF and PowerPoint
- Sending data alerts via email triggers
- Sharing apps securely with external partners
- Collaborating with comments and annotations
- Version control for iterative development
- Back-up strategies for disaster recovery
- Creating deployment checklists for rollout
Module 11: Storytelling with Data and Executive Communication - Structuring narratives around business outcomes
- Using stories to guide executive decisions
- Building slide sequences with commentary
- Adding annotations and callouts to visuals
- Linking data points to strategic objectives
- Translating technical findings into business terms
- Anticipating stakeholder questions in advance
- Creating executive summaries with key takeaways
- Using storytelling frameworks: Situation-Complication-Resolution
- Presenting uncertainty and confidence levels
- Highlighting risk and opportunity in visuals
- Designing one-page insight summaries
- Practising stakeholder feedback scenarios
- Documenting assumptions and limitations
- Building credibility through transparency
Module 12: Real-World Industry Applications - Designing a financial performance dashboard
- Building a supply chain visibility monitor
- Creating a sales pipeline tracker
- Developing a customer retention analysis
- Modelling HR attrition risk indicators
- Analysing marketing campaign ROI
- Tracking project portfolio health
- Monitoring IT service desk metrics
- Visualising healthcare patient outcomes
- Analysing retail foot traffic and conversion
- Building environmental compliance dashboards
- Creating ESG performance trackers
- Integrating budget vs actual reporting
- Modelling scenario planning with sliders
- Using what-if analysis for forecasting
Module 13: Capstone Project & Professional Implementation - Selecting your real-world business challenge
- Defining project scope and success criteria
- Collecting and preparing your source data
- Building a data model from scratch
- Creating a multi-sheet dashboard
- Implementing interactive filters and navigation
- Adding calculated KPIs and trends
- Designing for usability and clarity
- Documenting your decision logic
- Testing with sample users
- Gathering feedback and iterating
- Finalising your dashboard for presentation
- Exporting and sharing your project
- Preparing your project summary for the certificate
- Submitting your work for review
Module 14: Certification, Career Growth, and Beyond - Understanding the Certificate of Completion process
- Verifying your credential through The Art of Service
- Adding your certification to LinkedIn and resumes
- Showcasing your project in portfolio interviews
- Preparing for internal promotion conversations
- Negotiating data leadership responsibilities
- Transitioning from analyst to insight lead
- Joining the global alumni network
- Accessing exclusive job boards and opportunities
- Receiving invitations to expert roundtables
- Staying updated with Qlik feature releases
- Participating in community challenges
- Accessing advanced templates and scripts
- Building your personal brand as a Qlik expert
- Planning your next learning path in analytics
- Understanding the role of Qlik in modern decision ecosystems
- Differentiating insight from visualisation in business contexts
- Core principles of associative data modelling
- How Qlik’s in-memory engine enables real-time exploration
- Defining success: From report consumer to insight architect
- Identifying high-impact use cases for your organisation
- Mapping stakeholder needs to analytical outcomes
- Setting measurable goals for dashboard effectiveness
- Establishing baseline metrics for tracking progress
- Creating your personal learning roadmap
Module 2: Navigating the Qlik Environment with Confidence - Interface overview: Hub, Workbench, and Management Console
- Understanding Qlik Sense versus QlikView workflows
- Navigating sheets, stories, and apps efficiently
- Using bookmarks and selections to guide analysis
- Mastering the selection toolbar and filter panels
- Configuring user preferences for optimal workflow
- Organising assets with naming conventions and metadata
- Accessing help resources and contextual guidance
- Setting up your first project workspace
- Configuring default visualisations and themes
Module 3: Data Ingestion and Connection Strategies - Connecting to Excel, CSV, and flat file sources
- Linking to relational databases: SQL Server, Oracle, MySQL
- Integrating cloud data platforms: Snowflake, Google BigQuery
- Using REST APIs to pull live web data
- Configuring ODBC and OLE DB connections
- Understanding data load scripts and their structure
- Writing basic LOAD statements with FROM clauses
- Renaming fields and applying aliases during load
- Handling date and time formatting at ingestion
- Managing data types: string, numeric, date, timestamp
- Detecting and correcting encoding issues
- Using data preview and sample modes for debugging
- Automating data refresh intervals
- Securing credentials with encrypted connection strings
- Validating data integrity post-load
Module 4: Data Modelling and Transformation - Understanding star, snowflake, and mixed schemas
- Identifying and resolving synthetic keys
- Creating composite keys for complex joins
- Using JOIN, CONCATENATE, and UNION operations
- Applying WHERE clauses to filter during load
- Transforming data with ApplyMap for lookups
- Using IntervalMatch for time-based associations
- Pivoting data with Crosstable function
- Unpivoting columns into rows for analysis
- Handling slowly changing dimensions (SCD)
- Implementing incremental loads for efficiency
- Creating calculated fields during data load
- Using Peek and Previous functions for logic
- Debugging scripts with Comment and Trace
- Documenting script logic for team collaboration
Module 5: Building High-Performance Dashboards - Selecting the right chart type for your message
- Designing for executive consumption: Less is more
- Using KPIs, gauges, and headline metrics
- Creating bar, column, line, and combo charts
- Building scatter plots and distribution visuals
- Implementing tables with conditional formatting
- Using pie, donut, and treemap charts strategically
- Adding reference lines and trend indicators
- Configuring chart axes, labels, and legends
- Applying sorting logic for clarity
- Using colour psychology to guide attention
- Ensuring accessibility with contrast and labels
- Optimising for mobile and tablet views
- Setting up responsive layout grids
- Testing dashboard usability with dummy data
Module 6: Mastering Expressions and Calculations - Understanding aggregation functions: Sum, Count, Avg
- Using set analysis for advanced filtering
- Building expressions with syntax rules and best practices
- Dynamic labels with calculated text
- Using IF statements in expressions
- Implementing Pick and Match for branching logic
- Creating cyclic groups with Dollar Sign Expansion
- Using variables to simplify complex expressions
- Defining and reusing variables across objects
- Calculating year-over-year growth with rangesum
- Implementing moving averages and window functions
- Using Above, Below, and Range functions
- Building dynamic totals and subtotals
- Creating custom labels based on conditions
- Debugging expression errors step by step
Module 7: Implementing Interactive User Experiences - Designing intuitive navigation paths
- Using buttons and action triggers effectively
- Creating drill-down hierarchies in charts
- Implementing master items for consistency
- Building dynamic filter panes and sliders
- Using input boxes for user-driven parameters
- Linking selections across multiple sheets
- Isolating selections with alternate states
- Creating comparative analysis with Bookmarks
- Using storyboards to guide stakeholder walkthroughs
- Adding explanatory text boxes and annotations
- Implementing tooltips with rich content
- Designing for non-technical users
- Adding search functionality for large datasets
- Testing interaction flow across devices
Module 8: Advanced Data Visualisation Techniques - Building heatmaps for performance analysis
- Creating waterfall charts for financial insights
- Visualising funnel metrics for conversion tracking
- Implementing pivot tables for multidimensional analysis
- Using geo maps with custom location data
- Integrating satellite and street views
- Adding custom shapes and icons to visuals
- Using extension objects from Qlik Marketplace
- Embedding web content with iframe objects
- Customising chart colours by dimension value
- Applying gradients and transparency
- Using dynamic size and colour scaling
- Creating conditional display rules
- Implementing responsive sizing for multi-device use
- Validating visual clarity under different lighting
Module 9: Performance Optimisation and Scalability - Measuring app performance with reload time metrics
- Reducing data footprint with field reduction
- Optimising expressions for speed
- Using flags and binary indicators for efficiency
- Implementing binary loads for reuse
- Architecting modular apps for scaling
- Splitting large apps into components
- Managing memory usage during design
- Using Section Access for data security
- Testing performance under heavy user load
- Applying indexing strategies for faster response
- Monitoring CPU and RAM consumption
- Creating lightweight dashboards for mobile users
- Using partial reloads for live updates
- Documenting performance decisions for audit
Module 10: Security, Deployment, and Collaboration - Understanding Qlik’s security architecture
- Setting up user roles and access levels
- Configuring Section Access with Excel tables
- Implementing row-level and field-level security
- Publishing apps to Qlik Sense Enterprise
- Using streams to organise content
- Scheduling automated reloads
- Monitoring app usage with usage metrics
- Exporting reports to PDF and PowerPoint
- Sending data alerts via email triggers
- Sharing apps securely with external partners
- Collaborating with comments and annotations
- Version control for iterative development
- Back-up strategies for disaster recovery
- Creating deployment checklists for rollout
Module 11: Storytelling with Data and Executive Communication - Structuring narratives around business outcomes
- Using stories to guide executive decisions
- Building slide sequences with commentary
- Adding annotations and callouts to visuals
- Linking data points to strategic objectives
- Translating technical findings into business terms
- Anticipating stakeholder questions in advance
- Creating executive summaries with key takeaways
- Using storytelling frameworks: Situation-Complication-Resolution
- Presenting uncertainty and confidence levels
- Highlighting risk and opportunity in visuals
- Designing one-page insight summaries
- Practising stakeholder feedback scenarios
- Documenting assumptions and limitations
- Building credibility through transparency
Module 12: Real-World Industry Applications - Designing a financial performance dashboard
- Building a supply chain visibility monitor
- Creating a sales pipeline tracker
- Developing a customer retention analysis
- Modelling HR attrition risk indicators
- Analysing marketing campaign ROI
- Tracking project portfolio health
- Monitoring IT service desk metrics
- Visualising healthcare patient outcomes
- Analysing retail foot traffic and conversion
- Building environmental compliance dashboards
- Creating ESG performance trackers
- Integrating budget vs actual reporting
- Modelling scenario planning with sliders
- Using what-if analysis for forecasting
Module 13: Capstone Project & Professional Implementation - Selecting your real-world business challenge
- Defining project scope and success criteria
- Collecting and preparing your source data
- Building a data model from scratch
- Creating a multi-sheet dashboard
- Implementing interactive filters and navigation
- Adding calculated KPIs and trends
- Designing for usability and clarity
- Documenting your decision logic
- Testing with sample users
- Gathering feedback and iterating
- Finalising your dashboard for presentation
- Exporting and sharing your project
- Preparing your project summary for the certificate
- Submitting your work for review
Module 14: Certification, Career Growth, and Beyond - Understanding the Certificate of Completion process
- Verifying your credential through The Art of Service
- Adding your certification to LinkedIn and resumes
- Showcasing your project in portfolio interviews
- Preparing for internal promotion conversations
- Negotiating data leadership responsibilities
- Transitioning from analyst to insight lead
- Joining the global alumni network
- Accessing exclusive job boards and opportunities
- Receiving invitations to expert roundtables
- Staying updated with Qlik feature releases
- Participating in community challenges
- Accessing advanced templates and scripts
- Building your personal brand as a Qlik expert
- Planning your next learning path in analytics
- Connecting to Excel, CSV, and flat file sources
- Linking to relational databases: SQL Server, Oracle, MySQL
- Integrating cloud data platforms: Snowflake, Google BigQuery
- Using REST APIs to pull live web data
- Configuring ODBC and OLE DB connections
- Understanding data load scripts and their structure
- Writing basic LOAD statements with FROM clauses
- Renaming fields and applying aliases during load
- Handling date and time formatting at ingestion
- Managing data types: string, numeric, date, timestamp
- Detecting and correcting encoding issues
- Using data preview and sample modes for debugging
- Automating data refresh intervals
- Securing credentials with encrypted connection strings
- Validating data integrity post-load
Module 4: Data Modelling and Transformation - Understanding star, snowflake, and mixed schemas
- Identifying and resolving synthetic keys
- Creating composite keys for complex joins
- Using JOIN, CONCATENATE, and UNION operations
- Applying WHERE clauses to filter during load
- Transforming data with ApplyMap for lookups
- Using IntervalMatch for time-based associations
- Pivoting data with Crosstable function
- Unpivoting columns into rows for analysis
- Handling slowly changing dimensions (SCD)
- Implementing incremental loads for efficiency
- Creating calculated fields during data load
- Using Peek and Previous functions for logic
- Debugging scripts with Comment and Trace
- Documenting script logic for team collaboration
Module 5: Building High-Performance Dashboards - Selecting the right chart type for your message
- Designing for executive consumption: Less is more
- Using KPIs, gauges, and headline metrics
- Creating bar, column, line, and combo charts
- Building scatter plots and distribution visuals
- Implementing tables with conditional formatting
- Using pie, donut, and treemap charts strategically
- Adding reference lines and trend indicators
- Configuring chart axes, labels, and legends
- Applying sorting logic for clarity
- Using colour psychology to guide attention
- Ensuring accessibility with contrast and labels
- Optimising for mobile and tablet views
- Setting up responsive layout grids
- Testing dashboard usability with dummy data
Module 6: Mastering Expressions and Calculations - Understanding aggregation functions: Sum, Count, Avg
- Using set analysis for advanced filtering
- Building expressions with syntax rules and best practices
- Dynamic labels with calculated text
- Using IF statements in expressions
- Implementing Pick and Match for branching logic
- Creating cyclic groups with Dollar Sign Expansion
- Using variables to simplify complex expressions
- Defining and reusing variables across objects
- Calculating year-over-year growth with rangesum
- Implementing moving averages and window functions
- Using Above, Below, and Range functions
- Building dynamic totals and subtotals
- Creating custom labels based on conditions
- Debugging expression errors step by step
Module 7: Implementing Interactive User Experiences - Designing intuitive navigation paths
- Using buttons and action triggers effectively
- Creating drill-down hierarchies in charts
- Implementing master items for consistency
- Building dynamic filter panes and sliders
- Using input boxes for user-driven parameters
- Linking selections across multiple sheets
- Isolating selections with alternate states
- Creating comparative analysis with Bookmarks
- Using storyboards to guide stakeholder walkthroughs
- Adding explanatory text boxes and annotations
- Implementing tooltips with rich content
- Designing for non-technical users
- Adding search functionality for large datasets
- Testing interaction flow across devices
Module 8: Advanced Data Visualisation Techniques - Building heatmaps for performance analysis
- Creating waterfall charts for financial insights
- Visualising funnel metrics for conversion tracking
- Implementing pivot tables for multidimensional analysis
- Using geo maps with custom location data
- Integrating satellite and street views
- Adding custom shapes and icons to visuals
- Using extension objects from Qlik Marketplace
- Embedding web content with iframe objects
- Customising chart colours by dimension value
- Applying gradients and transparency
- Using dynamic size and colour scaling
- Creating conditional display rules
- Implementing responsive sizing for multi-device use
- Validating visual clarity under different lighting
Module 9: Performance Optimisation and Scalability - Measuring app performance with reload time metrics
- Reducing data footprint with field reduction
- Optimising expressions for speed
- Using flags and binary indicators for efficiency
- Implementing binary loads for reuse
- Architecting modular apps for scaling
- Splitting large apps into components
- Managing memory usage during design
- Using Section Access for data security
- Testing performance under heavy user load
- Applying indexing strategies for faster response
- Monitoring CPU and RAM consumption
- Creating lightweight dashboards for mobile users
- Using partial reloads for live updates
- Documenting performance decisions for audit
Module 10: Security, Deployment, and Collaboration - Understanding Qlik’s security architecture
- Setting up user roles and access levels
- Configuring Section Access with Excel tables
- Implementing row-level and field-level security
- Publishing apps to Qlik Sense Enterprise
- Using streams to organise content
- Scheduling automated reloads
- Monitoring app usage with usage metrics
- Exporting reports to PDF and PowerPoint
- Sending data alerts via email triggers
- Sharing apps securely with external partners
- Collaborating with comments and annotations
- Version control for iterative development
- Back-up strategies for disaster recovery
- Creating deployment checklists for rollout
Module 11: Storytelling with Data and Executive Communication - Structuring narratives around business outcomes
- Using stories to guide executive decisions
- Building slide sequences with commentary
- Adding annotations and callouts to visuals
- Linking data points to strategic objectives
- Translating technical findings into business terms
- Anticipating stakeholder questions in advance
- Creating executive summaries with key takeaways
- Using storytelling frameworks: Situation-Complication-Resolution
- Presenting uncertainty and confidence levels
- Highlighting risk and opportunity in visuals
- Designing one-page insight summaries
- Practising stakeholder feedback scenarios
- Documenting assumptions and limitations
- Building credibility through transparency
Module 12: Real-World Industry Applications - Designing a financial performance dashboard
- Building a supply chain visibility monitor
- Creating a sales pipeline tracker
- Developing a customer retention analysis
- Modelling HR attrition risk indicators
- Analysing marketing campaign ROI
- Tracking project portfolio health
- Monitoring IT service desk metrics
- Visualising healthcare patient outcomes
- Analysing retail foot traffic and conversion
- Building environmental compliance dashboards
- Creating ESG performance trackers
- Integrating budget vs actual reporting
- Modelling scenario planning with sliders
- Using what-if analysis for forecasting
Module 13: Capstone Project & Professional Implementation - Selecting your real-world business challenge
- Defining project scope and success criteria
- Collecting and preparing your source data
- Building a data model from scratch
- Creating a multi-sheet dashboard
- Implementing interactive filters and navigation
- Adding calculated KPIs and trends
- Designing for usability and clarity
- Documenting your decision logic
- Testing with sample users
- Gathering feedback and iterating
- Finalising your dashboard for presentation
- Exporting and sharing your project
- Preparing your project summary for the certificate
- Submitting your work for review
Module 14: Certification, Career Growth, and Beyond - Understanding the Certificate of Completion process
- Verifying your credential through The Art of Service
- Adding your certification to LinkedIn and resumes
- Showcasing your project in portfolio interviews
- Preparing for internal promotion conversations
- Negotiating data leadership responsibilities
- Transitioning from analyst to insight lead
- Joining the global alumni network
- Accessing exclusive job boards and opportunities
- Receiving invitations to expert roundtables
- Staying updated with Qlik feature releases
- Participating in community challenges
- Accessing advanced templates and scripts
- Building your personal brand as a Qlik expert
- Planning your next learning path in analytics
- Selecting the right chart type for your message
- Designing for executive consumption: Less is more
- Using KPIs, gauges, and headline metrics
- Creating bar, column, line, and combo charts
- Building scatter plots and distribution visuals
- Implementing tables with conditional formatting
- Using pie, donut, and treemap charts strategically
- Adding reference lines and trend indicators
- Configuring chart axes, labels, and legends
- Applying sorting logic for clarity
- Using colour psychology to guide attention
- Ensuring accessibility with contrast and labels
- Optimising for mobile and tablet views
- Setting up responsive layout grids
- Testing dashboard usability with dummy data
Module 6: Mastering Expressions and Calculations - Understanding aggregation functions: Sum, Count, Avg
- Using set analysis for advanced filtering
- Building expressions with syntax rules and best practices
- Dynamic labels with calculated text
- Using IF statements in expressions
- Implementing Pick and Match for branching logic
- Creating cyclic groups with Dollar Sign Expansion
- Using variables to simplify complex expressions
- Defining and reusing variables across objects
- Calculating year-over-year growth with rangesum
- Implementing moving averages and window functions
- Using Above, Below, and Range functions
- Building dynamic totals and subtotals
- Creating custom labels based on conditions
- Debugging expression errors step by step
Module 7: Implementing Interactive User Experiences - Designing intuitive navigation paths
- Using buttons and action triggers effectively
- Creating drill-down hierarchies in charts
- Implementing master items for consistency
- Building dynamic filter panes and sliders
- Using input boxes for user-driven parameters
- Linking selections across multiple sheets
- Isolating selections with alternate states
- Creating comparative analysis with Bookmarks
- Using storyboards to guide stakeholder walkthroughs
- Adding explanatory text boxes and annotations
- Implementing tooltips with rich content
- Designing for non-technical users
- Adding search functionality for large datasets
- Testing interaction flow across devices
Module 8: Advanced Data Visualisation Techniques - Building heatmaps for performance analysis
- Creating waterfall charts for financial insights
- Visualising funnel metrics for conversion tracking
- Implementing pivot tables for multidimensional analysis
- Using geo maps with custom location data
- Integrating satellite and street views
- Adding custom shapes and icons to visuals
- Using extension objects from Qlik Marketplace
- Embedding web content with iframe objects
- Customising chart colours by dimension value
- Applying gradients and transparency
- Using dynamic size and colour scaling
- Creating conditional display rules
- Implementing responsive sizing for multi-device use
- Validating visual clarity under different lighting
Module 9: Performance Optimisation and Scalability - Measuring app performance with reload time metrics
- Reducing data footprint with field reduction
- Optimising expressions for speed
- Using flags and binary indicators for efficiency
- Implementing binary loads for reuse
- Architecting modular apps for scaling
- Splitting large apps into components
- Managing memory usage during design
- Using Section Access for data security
- Testing performance under heavy user load
- Applying indexing strategies for faster response
- Monitoring CPU and RAM consumption
- Creating lightweight dashboards for mobile users
- Using partial reloads for live updates
- Documenting performance decisions for audit
Module 10: Security, Deployment, and Collaboration - Understanding Qlik’s security architecture
- Setting up user roles and access levels
- Configuring Section Access with Excel tables
- Implementing row-level and field-level security
- Publishing apps to Qlik Sense Enterprise
- Using streams to organise content
- Scheduling automated reloads
- Monitoring app usage with usage metrics
- Exporting reports to PDF and PowerPoint
- Sending data alerts via email triggers
- Sharing apps securely with external partners
- Collaborating with comments and annotations
- Version control for iterative development
- Back-up strategies for disaster recovery
- Creating deployment checklists for rollout
Module 11: Storytelling with Data and Executive Communication - Structuring narratives around business outcomes
- Using stories to guide executive decisions
- Building slide sequences with commentary
- Adding annotations and callouts to visuals
- Linking data points to strategic objectives
- Translating technical findings into business terms
- Anticipating stakeholder questions in advance
- Creating executive summaries with key takeaways
- Using storytelling frameworks: Situation-Complication-Resolution
- Presenting uncertainty and confidence levels
- Highlighting risk and opportunity in visuals
- Designing one-page insight summaries
- Practising stakeholder feedback scenarios
- Documenting assumptions and limitations
- Building credibility through transparency
Module 12: Real-World Industry Applications - Designing a financial performance dashboard
- Building a supply chain visibility monitor
- Creating a sales pipeline tracker
- Developing a customer retention analysis
- Modelling HR attrition risk indicators
- Analysing marketing campaign ROI
- Tracking project portfolio health
- Monitoring IT service desk metrics
- Visualising healthcare patient outcomes
- Analysing retail foot traffic and conversion
- Building environmental compliance dashboards
- Creating ESG performance trackers
- Integrating budget vs actual reporting
- Modelling scenario planning with sliders
- Using what-if analysis for forecasting
Module 13: Capstone Project & Professional Implementation - Selecting your real-world business challenge
- Defining project scope and success criteria
- Collecting and preparing your source data
- Building a data model from scratch
- Creating a multi-sheet dashboard
- Implementing interactive filters and navigation
- Adding calculated KPIs and trends
- Designing for usability and clarity
- Documenting your decision logic
- Testing with sample users
- Gathering feedback and iterating
- Finalising your dashboard for presentation
- Exporting and sharing your project
- Preparing your project summary for the certificate
- Submitting your work for review
Module 14: Certification, Career Growth, and Beyond - Understanding the Certificate of Completion process
- Verifying your credential through The Art of Service
- Adding your certification to LinkedIn and resumes
- Showcasing your project in portfolio interviews
- Preparing for internal promotion conversations
- Negotiating data leadership responsibilities
- Transitioning from analyst to insight lead
- Joining the global alumni network
- Accessing exclusive job boards and opportunities
- Receiving invitations to expert roundtables
- Staying updated with Qlik feature releases
- Participating in community challenges
- Accessing advanced templates and scripts
- Building your personal brand as a Qlik expert
- Planning your next learning path in analytics
- Designing intuitive navigation paths
- Using buttons and action triggers effectively
- Creating drill-down hierarchies in charts
- Implementing master items for consistency
- Building dynamic filter panes and sliders
- Using input boxes for user-driven parameters
- Linking selections across multiple sheets
- Isolating selections with alternate states
- Creating comparative analysis with Bookmarks
- Using storyboards to guide stakeholder walkthroughs
- Adding explanatory text boxes and annotations
- Implementing tooltips with rich content
- Designing for non-technical users
- Adding search functionality for large datasets
- Testing interaction flow across devices
Module 8: Advanced Data Visualisation Techniques - Building heatmaps for performance analysis
- Creating waterfall charts for financial insights
- Visualising funnel metrics for conversion tracking
- Implementing pivot tables for multidimensional analysis
- Using geo maps with custom location data
- Integrating satellite and street views
- Adding custom shapes and icons to visuals
- Using extension objects from Qlik Marketplace
- Embedding web content with iframe objects
- Customising chart colours by dimension value
- Applying gradients and transparency
- Using dynamic size and colour scaling
- Creating conditional display rules
- Implementing responsive sizing for multi-device use
- Validating visual clarity under different lighting
Module 9: Performance Optimisation and Scalability - Measuring app performance with reload time metrics
- Reducing data footprint with field reduction
- Optimising expressions for speed
- Using flags and binary indicators for efficiency
- Implementing binary loads for reuse
- Architecting modular apps for scaling
- Splitting large apps into components
- Managing memory usage during design
- Using Section Access for data security
- Testing performance under heavy user load
- Applying indexing strategies for faster response
- Monitoring CPU and RAM consumption
- Creating lightweight dashboards for mobile users
- Using partial reloads for live updates
- Documenting performance decisions for audit
Module 10: Security, Deployment, and Collaboration - Understanding Qlik’s security architecture
- Setting up user roles and access levels
- Configuring Section Access with Excel tables
- Implementing row-level and field-level security
- Publishing apps to Qlik Sense Enterprise
- Using streams to organise content
- Scheduling automated reloads
- Monitoring app usage with usage metrics
- Exporting reports to PDF and PowerPoint
- Sending data alerts via email triggers
- Sharing apps securely with external partners
- Collaborating with comments and annotations
- Version control for iterative development
- Back-up strategies for disaster recovery
- Creating deployment checklists for rollout
Module 11: Storytelling with Data and Executive Communication - Structuring narratives around business outcomes
- Using stories to guide executive decisions
- Building slide sequences with commentary
- Adding annotations and callouts to visuals
- Linking data points to strategic objectives
- Translating technical findings into business terms
- Anticipating stakeholder questions in advance
- Creating executive summaries with key takeaways
- Using storytelling frameworks: Situation-Complication-Resolution
- Presenting uncertainty and confidence levels
- Highlighting risk and opportunity in visuals
- Designing one-page insight summaries
- Practising stakeholder feedback scenarios
- Documenting assumptions and limitations
- Building credibility through transparency
Module 12: Real-World Industry Applications - Designing a financial performance dashboard
- Building a supply chain visibility monitor
- Creating a sales pipeline tracker
- Developing a customer retention analysis
- Modelling HR attrition risk indicators
- Analysing marketing campaign ROI
- Tracking project portfolio health
- Monitoring IT service desk metrics
- Visualising healthcare patient outcomes
- Analysing retail foot traffic and conversion
- Building environmental compliance dashboards
- Creating ESG performance trackers
- Integrating budget vs actual reporting
- Modelling scenario planning with sliders
- Using what-if analysis for forecasting
Module 13: Capstone Project & Professional Implementation - Selecting your real-world business challenge
- Defining project scope and success criteria
- Collecting and preparing your source data
- Building a data model from scratch
- Creating a multi-sheet dashboard
- Implementing interactive filters and navigation
- Adding calculated KPIs and trends
- Designing for usability and clarity
- Documenting your decision logic
- Testing with sample users
- Gathering feedback and iterating
- Finalising your dashboard for presentation
- Exporting and sharing your project
- Preparing your project summary for the certificate
- Submitting your work for review
Module 14: Certification, Career Growth, and Beyond - Understanding the Certificate of Completion process
- Verifying your credential through The Art of Service
- Adding your certification to LinkedIn and resumes
- Showcasing your project in portfolio interviews
- Preparing for internal promotion conversations
- Negotiating data leadership responsibilities
- Transitioning from analyst to insight lead
- Joining the global alumni network
- Accessing exclusive job boards and opportunities
- Receiving invitations to expert roundtables
- Staying updated with Qlik feature releases
- Participating in community challenges
- Accessing advanced templates and scripts
- Building your personal brand as a Qlik expert
- Planning your next learning path in analytics
- Measuring app performance with reload time metrics
- Reducing data footprint with field reduction
- Optimising expressions for speed
- Using flags and binary indicators for efficiency
- Implementing binary loads for reuse
- Architecting modular apps for scaling
- Splitting large apps into components
- Managing memory usage during design
- Using Section Access for data security
- Testing performance under heavy user load
- Applying indexing strategies for faster response
- Monitoring CPU and RAM consumption
- Creating lightweight dashboards for mobile users
- Using partial reloads for live updates
- Documenting performance decisions for audit
Module 10: Security, Deployment, and Collaboration - Understanding Qlik’s security architecture
- Setting up user roles and access levels
- Configuring Section Access with Excel tables
- Implementing row-level and field-level security
- Publishing apps to Qlik Sense Enterprise
- Using streams to organise content
- Scheduling automated reloads
- Monitoring app usage with usage metrics
- Exporting reports to PDF and PowerPoint
- Sending data alerts via email triggers
- Sharing apps securely with external partners
- Collaborating with comments and annotations
- Version control for iterative development
- Back-up strategies for disaster recovery
- Creating deployment checklists for rollout
Module 11: Storytelling with Data and Executive Communication - Structuring narratives around business outcomes
- Using stories to guide executive decisions
- Building slide sequences with commentary
- Adding annotations and callouts to visuals
- Linking data points to strategic objectives
- Translating technical findings into business terms
- Anticipating stakeholder questions in advance
- Creating executive summaries with key takeaways
- Using storytelling frameworks: Situation-Complication-Resolution
- Presenting uncertainty and confidence levels
- Highlighting risk and opportunity in visuals
- Designing one-page insight summaries
- Practising stakeholder feedback scenarios
- Documenting assumptions and limitations
- Building credibility through transparency
Module 12: Real-World Industry Applications - Designing a financial performance dashboard
- Building a supply chain visibility monitor
- Creating a sales pipeline tracker
- Developing a customer retention analysis
- Modelling HR attrition risk indicators
- Analysing marketing campaign ROI
- Tracking project portfolio health
- Monitoring IT service desk metrics
- Visualising healthcare patient outcomes
- Analysing retail foot traffic and conversion
- Building environmental compliance dashboards
- Creating ESG performance trackers
- Integrating budget vs actual reporting
- Modelling scenario planning with sliders
- Using what-if analysis for forecasting
Module 13: Capstone Project & Professional Implementation - Selecting your real-world business challenge
- Defining project scope and success criteria
- Collecting and preparing your source data
- Building a data model from scratch
- Creating a multi-sheet dashboard
- Implementing interactive filters and navigation
- Adding calculated KPIs and trends
- Designing for usability and clarity
- Documenting your decision logic
- Testing with sample users
- Gathering feedback and iterating
- Finalising your dashboard for presentation
- Exporting and sharing your project
- Preparing your project summary for the certificate
- Submitting your work for review
Module 14: Certification, Career Growth, and Beyond - Understanding the Certificate of Completion process
- Verifying your credential through The Art of Service
- Adding your certification to LinkedIn and resumes
- Showcasing your project in portfolio interviews
- Preparing for internal promotion conversations
- Negotiating data leadership responsibilities
- Transitioning from analyst to insight lead
- Joining the global alumni network
- Accessing exclusive job boards and opportunities
- Receiving invitations to expert roundtables
- Staying updated with Qlik feature releases
- Participating in community challenges
- Accessing advanced templates and scripts
- Building your personal brand as a Qlik expert
- Planning your next learning path in analytics
- Structuring narratives around business outcomes
- Using stories to guide executive decisions
- Building slide sequences with commentary
- Adding annotations and callouts to visuals
- Linking data points to strategic objectives
- Translating technical findings into business terms
- Anticipating stakeholder questions in advance
- Creating executive summaries with key takeaways
- Using storytelling frameworks: Situation-Complication-Resolution
- Presenting uncertainty and confidence levels
- Highlighting risk and opportunity in visuals
- Designing one-page insight summaries
- Practising stakeholder feedback scenarios
- Documenting assumptions and limitations
- Building credibility through transparency
Module 12: Real-World Industry Applications - Designing a financial performance dashboard
- Building a supply chain visibility monitor
- Creating a sales pipeline tracker
- Developing a customer retention analysis
- Modelling HR attrition risk indicators
- Analysing marketing campaign ROI
- Tracking project portfolio health
- Monitoring IT service desk metrics
- Visualising healthcare patient outcomes
- Analysing retail foot traffic and conversion
- Building environmental compliance dashboards
- Creating ESG performance trackers
- Integrating budget vs actual reporting
- Modelling scenario planning with sliders
- Using what-if analysis for forecasting
Module 13: Capstone Project & Professional Implementation - Selecting your real-world business challenge
- Defining project scope and success criteria
- Collecting and preparing your source data
- Building a data model from scratch
- Creating a multi-sheet dashboard
- Implementing interactive filters and navigation
- Adding calculated KPIs and trends
- Designing for usability and clarity
- Documenting your decision logic
- Testing with sample users
- Gathering feedback and iterating
- Finalising your dashboard for presentation
- Exporting and sharing your project
- Preparing your project summary for the certificate
- Submitting your work for review
Module 14: Certification, Career Growth, and Beyond - Understanding the Certificate of Completion process
- Verifying your credential through The Art of Service
- Adding your certification to LinkedIn and resumes
- Showcasing your project in portfolio interviews
- Preparing for internal promotion conversations
- Negotiating data leadership responsibilities
- Transitioning from analyst to insight lead
- Joining the global alumni network
- Accessing exclusive job boards and opportunities
- Receiving invitations to expert roundtables
- Staying updated with Qlik feature releases
- Participating in community challenges
- Accessing advanced templates and scripts
- Building your personal brand as a Qlik expert
- Planning your next learning path in analytics
- Selecting your real-world business challenge
- Defining project scope and success criteria
- Collecting and preparing your source data
- Building a data model from scratch
- Creating a multi-sheet dashboard
- Implementing interactive filters and navigation
- Adding calculated KPIs and trends
- Designing for usability and clarity
- Documenting your decision logic
- Testing with sample users
- Gathering feedback and iterating
- Finalising your dashboard for presentation
- Exporting and sharing your project
- Preparing your project summary for the certificate
- Submitting your work for review