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An Advanced Course on Qlik Sense

Empower organizations by unleashing the power of data driven decision making and produce actionable insights for business users
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Duration

16-hrs training course with 4 sessions of 4-hrs each

Level

Intermediate to Advanced Level

Design and Tailor this course

As per your team needs

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After you have created interactive reports and dashboards with charts and graphs using Qlik Sense, the next step is to master the tool so that you can extract more from it. In this virtual instructor-led advanced course on Qlik Sense the hands-on training will lead you through intermediate and advanced concepts like Functions; Data management & connections; using joins, keeps, & QVD layer; advanced storytelling concepts; and security management. 

After completing this course you will be able to:

  • Work with expressions and Visualizations
  • Manage data and Data Models in Qlik Sense
  • Implement advanced data modeling techniques
  • Collaborate in Qlik Sense
  • Secure their data and apps using advanced security features
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  • Data Engineers responsible for curation and management of data
  • Data Storytellers or members of BI teams who have prior experience on working with Qlik Sense and QlikView
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  • How does Qlik Sense vary from QlikView?
  • Qlik Sense Architecture
  • Creating Apps and Visualizations
  • Structuring an app with Sheets
  • Expressions, Functions and Variables
  • Working with Expression Editor
  • Using Functions in Charts
  • Using Variables in Expressions
  • Set Analysis and Set Expressions
  • Working with Master Items
  • Adding data from files and databases
  • Loading data with the Data Load script
  • Data Connections
  • Various types of data loads
  • Profiling Data with Qlik Sense
  • Troubleshooting
  • Qlik Sense Data Architecture
  • Creating Star and Snowflake schemas
  • Use of Joins, Keeps, Concatenate, etc..
  • Understanding QVD layer
  • Working on synthetic keys and circular references. 
  • Qlik Sense Star Schema
  • Link Table
  • Dimensions Table
  • Master Calendar
  • Optimizing data models
  • Scripting and data model challenges
  • Different types of Load
  • Advanced Calculations and Functions
  • Best Practices of data modeling
  • Data Storytelling
  • Publishing
  • Exporting and Printing
  • Advanced Scripting and Chart Functions
  • Qlik Tips and Techniques
  • Learning about the Qlik Sense App and its security features
  • Providing Qlik Sense access to user sets
  • Qlik Sense Security rule code
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You must have an intermediate level knowledge of and exposure to Business Intelligence (BI) and Data Analytics, and must have a familiarity with Qlik Sense, Structured Query Language (SQL), and other BI tools.

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