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Getting started with Qlik Sense

Empowering people for making data driven decision and take actionable insights


8-hrs training course with 2 sessions of 4 hrs each


Beginners Level

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Qlik Sense enables us to create interactive reports and dashboards using stunning charts and graphs. The visualization software simplifies data analysis and helps to make informed business decisions faster than ever before. This virtual instructor-led course on Qlik Sense comes with hands-on training that will lead you through the basic concepts of the platform. 

After completing this course you will be able to:

  • Use the drag-and-drop functionality for ease and speed
  • Implement the Smart Search feature to help uncover data relationships
  • Explore multiple data sources easily in a single app
  • Collaborate and share insights with rich data storytelling features
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  • Data Engineers responsible for curation and management of data
  • Data Storytellers or members of BI teams who have worked on Tableau, Power BI or other similar tools
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  • What is Qlik Sense?
  • Comparing Qlik Sense Desktop with Qlik Sense Cloud
  • Installing Qlik Sense Desktop
  • Evolving from QlikView to Qlik Sense
  • Starting with Qlik Sense Desktop
  • Opening an app with Qlik Sense
  • Qlik Sense Architecture
  • Navigating the user interface
  • Data Manager
  • Data Load Editor
  • Data Model Viewer
  • Interacting with the user interface
  • Creating apps and Visualizations
  • Structuring an app with Sheets
  • Different types of Visualizations
  • Dimensions and Measures in a Chart
  • When and which  Chart to Use
  • Selections in a Visualization
  • Visualization Settings and Properties
  • Expressions, Functions and Variables
  • Working with Expression Editor
  • Using Functions in Charts
  • Using Variables in Expressions
  • Working with Set Analysis and Set Expressions
  • Working with Master Items
  • Adding data from files and databases
  • Loading data with a data load script
  • Data Connections
  • Various types of Data loads
  • Profiling Data with Qlik Sense
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You must have a preliminary awareness about and exposure to Business Intelligence (BI) and Data Analytics, and must have a familiarity with BI tools and Structured Query Language (SQL)


we'd love to have your feedback on your experience so far