Data Modeling for Qlik Sense Course Overview

The Data Modeling for Qlik Sense course is designed to equip learners with the skills necessary to effectively model data within the Qlik Sense environment. It provides an in-depth understanding of the features and Architecture of Qlik Sense, including Smart search and Responsive design, as well as the differences between Qlik Sense and QlikView. Learners will gain hands-on experience with Scripting essentials, loading data from various sources, and managing Complex data associations.

The course also covers the creation of Visualizations and the utilization of Qlik Sense's Associative engine to derive actionable insights. With modules on advanced topics such as Set analysis, Qlik Sense security, and Data model optimization, participants will learn best practices for building robust data models, including handling Synthetic keys and Circular references, and ensuring efficient performance.

By the end of the course, learners will have a comprehensive understanding of Qlik Sense editions, Architecture, and Data modeling techniques, positioning them to create powerful analytics applications that support data-driven decision-making within their organizations.