About Qlik Essentials:
This course is designed to provide students with basic understanding of how to visualize data using Qlik Sense. Throughout the modules, students will be taught best practices about data visualization techniques, the different tools available for creating effective visualizations, and the most relevant concepts about how to present data to an executive audience.
The class will teach students how to work with Qlik with hands-on experience and real data sets which will help them learn how to build exceptional and effective visualizations and increase their current capabilities by exposing them to state-of-the-art software and its most relevant functionalities.
Target Audience
The target audience are students and professionals of any age who want to increase their data visualization, reporting and storytelling skills and capabilities with Qlik Sense. Students may be undergraduate or graduate and may be from a business or liberal arts and sciences background. Storytelling with data is most important for anybody who wants to find relationships between different variables regardless of their background.
Learning Outcomes
This course will serve as an introduction to the use of Qlik. Students will learn best practices for creating basic graphs and charts. By the end of the class students will be familiar with concepts for dimensions and measures, as well as software tools such as Bar Charts, Tree Maps, Filters, KPIs, Line Charts, and more. Students will also be familiar with the use of Qlik Sense Hub on the Cloud, data loading, and how to create applications to effectively visualize the data.
By the end of the class students who effectively complete the course will know how to:
Explain what Qlik is and what can be done with it as a data visualization software.
Understand how Qlik's Associative Engine works.
Know how to build apps, spaces, and store data in Qlik.
Connect a data set to Qlik.
Understand how to use dimensions and measures.
Use dimensions and measures to create charts in Qlik Sense.
Build bar charts.
Build Treemaps.
Build Line Charts.
Build Scatterplots.
Build Maps.
Use KPIs.
Create Tables.
Create powerful dashboards.
Generate insights from data.
