Better data-driven decisions - You will learn how to turn raw data into better business decisions, helping you spot trends, exceptions and areas that need action faster in your daily work.
Confident work in Qlik Sense - You will master the Qlik Sense interface, including the menu and the Data, Analysis and Storytelling views, so you can move through the app with speed and confidence.
Clear data visualizations - You will understand when to use bar, line and pie charts, KPIs, histograms and maps, so your reports present results in a way business users can grasp quickly.
Effective table analysis - You will learn how to work with tables and pivot tables, making it easier to compare values, uncover relationships and build analyses that are more useful in practice.
Building variables - You will learn how to create variables with a name, definition, description and tags, which will help you build analytical apps that are more flexible and better organized.
Set Analysis in practice - You will practice defining sets and using Sum, Max, Min, Avg and Count, so you can create precise measures that answer specific business questions with confidence.
Sharing apps with your team - You will learn how to share the apps you create with coworkers, making it easier to distribute insights, support joint decisions and strengthen a data-driven way of working.
Exporting and presenting results - You will discover how to build analytical presentations and export objects to files, so you can prepare materials for meetings, reports and performance discussions more easily.
Business decisions rely on turning dispersed data into information that can support action. This section places Business Intelligence in that context, explaining its role in decision-making processes and establishing the analytical foundation used later when working in Qlik Sense.
From an enterprise perspective, Qlik Sense combines self-service analysis with a consistent environment for working with data. The section outlines the solution itself and discusses implementation advantages, including faster access to information and broader use of analytics in daily operations.
Navigating Qlik Sense efficiently depends on understanding both the interface layout and movement rules. This section explains the menu structure, general navigation principles, and the roles of the Data, Analysis, and Storytelling tabs in the overall application workflow.
Practical analysis is developed through examples that connect selections, measures, and visual interpretation. Instead of focusing on isolated features, this part shows how to examine data step by step, identify patterns, and draw operational conclusions from the model and visual layer.
Qlik Sense offers multiple object types for presenting measures, comparisons, distributions, and geographic context. Participants work with bar, combo, pie, and line charts, as well as filter panes, gauges, histograms, KPI indicators, maps, treemaps, text, and graphics.
Working with tabular output is essential when users need detailed values alongside summaries. The section covers standard tables and pivot tables, showing how both formats support data inspection, comparison across dimensions, and the arrangement of results in a readable structure.
Preparing a variable requires more than entering a formula. The section explains how Name, Definition, Description, and Tags are used to organize variables, document their purpose, and support consistent reuse in expressions and application logic.
Set Analysis extends standard calculations by defining a data set independently of current selections. Participants use operators together with aggregation functions such as Sum, Max, Min, Avg, and Count to build expressions that return controlled and comparable analytical results.
Collaboration becomes important once an application is ready for wider use across the organization. This section focuses on sharing apps with coworkers, including access in team workflows and the practical implications of making analyses available to other users in Qlik Sense.
Analytical stories help turn dashboard findings into a structured narrative for meetings and reviews. Participants work with the Storytelling area to arrange visualizations, add context, and present conclusions in a way that reflects the analytical path behind the results.
Export options in Qlik Sense are covered from the perspective of everyday reporting work. The section explains how to save selected objects to files suited for further circulation, archiving, or offline review, while preserving the usability of charts and tables outside the application.
Basic computer skills - You should be comfortable using a computer, a web browser and basic system features, so you can complete the hands-on exercises in the Qlik Sense environment.
Understanding tabular data - You should understand how data is arranged in tables, columns and rows, and know what basic fields and values are, so you can follow the training examples smoothly.
Basics of business analysis - You should know basic concepts related to data analysis and reporting, so you can more easily interpret measures, KPIs and relationships shown in the visualizations.
Readiness for hands-on work - You should be ready to complete exercises on your own and explore different analytical views, because the training focuses on practical work directly in the tool.
