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.
Course info
Level
Intermediate
Updated
Jun 17, 2019
Duration
2h 11m
Table of contents
Course Overview
Exploring Selections in Qlik Sense
Exploring Data Using the Associative Selection Model
Performing Comparative Analysis Using Alternate States
Creating and Managing Bookmarks
Using Smart Search and the Cognitive Engine
Description
Course info
Level
Intermediate
Updated
Jun 17, 2019
Duration
2h 11m
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.

About the author
About the author

A problem solver at heart, Janani has a Masters degree from Stanford and worked for 7+ years at Google. She was one of the original engineers on Google Docs and holds 4 patents for its real-time collaborative editing framework.

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Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
(Music) Hi. My name is Janani Ravi, and welcome to this course on Analyzing Data with Qlik Sense. A little about myself. I have a master's degree in electric engineering from Stanford, and have worked at companies such as Microsoft, Google, and Flipkart. At Google, I was one of the first engineers working on real-time collaborative editing in Google Docs, and I hold four patents for its underlying technologies. I currently work on my own startup, Loonycorn, a studio for high-quality video content. In this course, you will gain the ability to correctly pick the right selection model to view and analyze your data and leverage Smart Search and the Qlik Sense cognitive engine to work with that data in your app. First, you'll 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. You will then see how alternate states are used to allow users to make different selections on the same dimension for comparative analysis. Finally, you will round out the course by working with Smart Search, a global search tool that allows searching all data in the app from any sheet. In addition, you will master a related feature, the Insights Advisor powered by the Qlik Sense cognitive engine that 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.