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.
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.
