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Tutorials for Qlik Sense

Whether you are just beginning your Qlik Sense journey or you are looking to enhance your Qlik Sense skills to help implement your data analytics strategy, Qlik has the step-by-step tutorials you need.

Analytics for business users

Beginning with the basics

This tutorial introduces you to Qlik Sense. After completing the tutorial, you will understand Qlik Sense basics and experience how every chart, table, and object is interactive and instantly updates to the current context with each action.

Monitoring data with alerts

This tutorial shows you how to create alerts. You will modify an app, create alerts, and manage alert lifecycles.

Creating analytics and visualizing data

Building an app

This tutorial shows you how to build a Qlik Sense analytics app. You will add data, create charts, and build a storytelling presentation.

Designing sheets for PowerPoint reports

This tutorial shows you how to design a Qlik Sense analytics app that will be used in generated PowerPoint reports. You will upload apps, change layouts, and add background images.

Loading and modeling analytics data

Customizing how Insight Advisor interprets data

This tutorial introduces how you can use business logic to customize how Insight Advisor interprets your data in search-based analytics.

Scripting for beginners

This tutorial introduces loading and manipulating data in Qlik Sense using scripting in the data load editor.

Next steps in scripting

This tutorial introduces advanced scripting concepts. This includes transforming data using cross-tables, cleaning data, and creating and loading data from Qlik data files (QVD).

Chart expressions

This tutorial introduces chart expressions. Expressions are a combination of functions, fields, and mathematical operators used to process data, creating dynamic and powerful visualizations.

Creating a set expression

This tutorial introduces set expressions to support data analysis. This includes creating set expressions using set modifiers, identifiers and operators.

Creating predictive analytics

Tutorial – Generating and visualizing prediction data

This tutorial introduces ML experiments, ML deployments, and predictions. You will start by creating and configuring an AutoML experiment, training machine learning models, and reviewing model metrics. Finally, you will deploy a model, use it to create predictions, and build a Qlik Sense app to visualize those predictions.

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