Qlik Sense Visualization
Master Qlik Sense visualization from A to Z
About Qlik Sense Data Visualization Training
Our Qlik Sense training is designed to bring participants to expert-level mastery and full autonomy—end-to-end.
In this training, participants master the full Qlik Sense workflow: the associative engine, dashboard design, metric governance through master items, Set Analysis & variables, advanced visualizations, storytelling, and core app administration.
The eaQbe Methodology: A Progressive Learning Curve
We don’t believe in training that overwhelms participants with theory. We believe in structured immersion. Our “3-Stage Autonomy Arc” ensures concepts aren’t just understood ; they’re truly mastered.
1) Associative Exploration
Before building anything, participants master Qlik as report consumers: they learn to navigate apps/sheets, use search and selections, and fully leverage exploration features. They also understand how associative states work- selected, possible, alternative, excluded - and how each selection updates every visualization instantly, powered by Qlik’s in-memory associative engine.
2) App structure, KPI governance & core visuals
Participants learn how to structure a clear, maintainable Qlik Sense app: apps → sheets → objects, navigation patterns, and layout conventions. They then build a shared KPI foundation using master items (master dimensions, master measures, and, where relevant, master visualizations) to ensure consistent, reusable definitions. With that foundation in place, they design and configure core visuals (charts, tables, filters) while mastering key settings: properties, sorting, interactions, conditional display, and actions.
3) Advanced visualizations, expressions & storytelling
Participants go further with advanced visualizations (bundle charts and specialized objects), including geo maps. They then use advanced expressions (Set Analysis) and variables to build smoother, more robust apps for end users: controlled scopes, comparisons, and reusable logic. Finally, they use bookmarks to capture analysis states (selections, context, views) and build a narrative with Qlik storytelling (snapshots + text) to present insights in a structured way.
Continuous knowledge validation
Each module intentionally reuses and builds on concepts from the previous one. Skills are repeated in new situations, so participants consolidate the fundamentals and leave with true mastery, not just exposure.
Learning outcomes
- Full Qlik Sense autonomy: your team can explore, build, and evolve apps without relying on external experts.
- Trusted, reusable KPIs: metric standardization through master items to keep definitions consistent at scale.
- Dashboard mastery, down to the details: clear, consistent, maintainable visuals with confident control of settings and interactions
- Smoother apps for end users: Set Analysis + variables to control scopes, compare reliably, and reuse logic.
- Structured delivery: bookmarks to capture analysis states, then Storytelling to turn insights into a clear narrative.
- Sharing & production-ready workflow: publish and distribute apps through streams with the right governance habits.
Practical details
- Format: 2-Day Intensive Workshop (interactive & scenario-based)
- Group size: 5–10 participants
- Prerequisites: none
- Follow-up: evaluation + practical exercises to anchor post-training
From Data to Decision . Build experts who think associatively
A scenario-driven program designed for complete operational autonomy. Participants learn to explore via the associative model, build governed dashboards, and deliver clear, decision-ready insights.
Module 1 : The Associative Engine & Discovery
Before building apps, participants master what makes Qlik unique: the associative model and the logic of exploration.
- Working with Qlik Sense: Hub, apps, sheets, objects, navigation
- The Green / White / Gray logic: selections, exclusions, and associative search
- Data literacy fundamentals: dimensions vs. measures, data types, aggregation behaviors
- Translating questions into exploration paths: how to “interrogate” data efficiently
Module 2 : Visual Architecture & Governance
Participants learn how to structure an app and consistent metrics.
- Master items: reusable dimensions, measures, and visual objects for consistency
- App structure best practices: DAR concept
- Build & configure standard visuals across multiple pages
- GeoAnalytics: maps, layers, and geographic insights
- Extensions & widgets: using native bundles (advanced visualizations)+ advanced interaction capabilities
- Visual logic: dynamic rules for color, order, conditions, and emphasis
Module 3 : Advanced Calculation Logic
Mastering Set Analysis & Variables
- Set Analysis: defining analysis scopes (e.g., YTD vs all time) without altering selections
- Variables & dynamic calculations: interactive metrics, dynamic labels, What-If scenarios
- Aggregation Qualifiers
Outcome: participants can create metrics that answer real business questions precisely.
Module 4 : User Experience, Storytelling & App management
Turning analysis into a shared, governed narrative
- Bookmarks: saving, managing, and sharing analysis states
- Storytelling in Qlik: snapshots and narrative presentations inside the platform
- Maintenance (Qlik management console basics)
Frequently asked questions
What makes Qlik Sense different from other BI tools?
The associative model. Where most tools filter data down a fixed path, Qlik keeps every value selectable and shows both what is related and what is excluded. The training starts there, because every good Qlik dashboard is designed around that behaviour.
Does this training include scripting?
No. Scripting, QVD strategy and modeling live in the Qlik Sense Data Modeling training. This one focuses on the visualization layer: governed dashboards, Set Analysis, variables and storytelling built on top of an existing model.
What is Set Analysis and why does it matter?
Set Analysis is Qlik's syntax for measures that fix or ignore part of the current selection: this year versus last year, budget versus actual, share of total. Most business questions are comparisons, and Set Analysis is how a Qlik measure expresses them. The training drills it on concrete cases.
Can the training use our own Qlik apps?
That is the preferred format. Working on your organisation's apps and real reporting questions makes the design choices, governance included, immediately applicable. Standard applications are used otherwise.
Is the training available in French and English, on-site or remote?
Both. Sessions run in French or English, on-site across Belgium and Luxembourg (we are based in Brussels) or remotely.
What makes eaQbe's trainings right for your team ?
Scenario-based learning
Our training bridges the gap between concepts and reality. We immerse participants in realistic business scenarios, ensuring skills are directly applicable to your specific challenges.
Trainings led by experts
Our trainers are data science specialists with solid teaching experience. They make complex topics accessible through a clear, structured approach focused on practical application
Progressive autonomy & mastery
Each participant is guided step by step in their learning journey: from theory and demonstrations to guided exercises, leading to full autonomy.