Analyzing Data with Qlik Sense

This course covers the different selection models in Qlik, including the click, legend and lasso selections and the associative selection model, as well as the role of smart search, the Qlik Sense cognitive engine and default and alternate states.

4|Reviews (11)
Pluralsight Teams₹4,166.75 per user/month, billed annually
₹50,004
CompleteBilled Monthly
₹2,370/mo

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Course Insight

Suitable for intermediate learners. Works well as a continuation after mastering Data Science fundamentals. It bridges the gap toward advanced, production-level engineering.

Intermediate FriendlySelf-Paced Learning

SKILLS TO
MASTER

Analytics
Exploratory Data Analysis
ModelingTrending
Predictive Machine Learning
SQL Querying
Relational Data Management
Pandas
Matplotlib
Statistics
Tableau
ETL
Careers:Relevant for professionals pursuing roles within Data Science.

Quick Facts

Below sections are verified from last major sync. For real-time updates and today's latest lectures, Check official page here.

What You’ll Learn

  • Course Overview : 1min.
  • Exploring Selections in Qlik Sense : 26mins.
  • Exploring Data Using the Associative Selection Model : 26mins.
  • Performing Comparative Analysis Using Alternate States : 28mins.
  • Creating and Managing Bookmarks : 14mins.
  • Using Smart Search and the Cognitive Engine : 33mins.
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Description

Qlik Sense is fast emerging as a popular choice for building sophisticated visualizations of complex data for an executive-level audience. A very powerful feature of Qlik Sense is the support for different types of selections, application states, and search. In this course, Analyzing Data with Qlik Sense, you will gain the ability to correctly pick the right selection model to view data, and leverage Smart Search and the Qlik Sense cognitive engine to work with that data in your app. First, you will learn the different selection models that are supported by different Qlik Visualizations including the click, lasso, range and legend selections. Next, you will discover how to use the Associative Selection Model to filter out subsets of data based on the selection. Then, you will see how Alternate States are used to allow users to make different selections on the same dimension. Finally, you will work with two related tools; Smart Search, a global search tool that allows searching all data in the app from any sheet, and the Insights Advisor, powered by the Qlik Sense cognitive engine which generates visualizations based on the data in your app. When you're finished with this course, you will have the skills and knowledge to use the selection model, smart search and the cognitive engine to gain insights from data in Qlik in a sophisticated and compelling manner.

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Analyzing Data with Qlik Sense
4(11+ learners)