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Janani Ravi

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.

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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.

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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What's inside

Syllabus

Course Overview
Exploring Selections in Qlik Sense
Exploring Data Using the Associative Selection Model
Performing Comparative Analysis Using Alternate States
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Creating and Managing Bookmarks
Using Smart Search and the Cognitive Engine

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores different selection models in Qlik, including 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
Covers topics that are highly relevant to data analysis and visualization in a business context, making it suitable for professionals in various industries
Teaches core skills in data exploration and manipulation, which are essential for data analysts and business users
Leverages Smart Search and the Qlik Sense cognitive engine to enhance data exploration and analysis, providing users with advanced capabilities
Provides hands-on experience through the use of the Qlik Sense platform, allowing learners to apply the concepts and skills learned in the course

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Analyzing Data with Qlik Sense with these activities:
Review Click Selection
Click Selection is a fundamental technique in Qlik Sense. Reviewing this concept will help you to effectively navigate and explore your data.
Browse courses on Selection
Show steps
  • Visit the Qlik Sense documentation on Click Selection.
  • Experiment with Click Selection in Qlik Sense.
Explore Associative Selection
Associative Selection allows you to dynamically filter data based on selections made elsewhere in your app. This is a powerful technique that can help you to uncover insights from your data.
Browse courses on Selection
Show steps
  • Read the Qlik Sense documentation on Associative Selection.
  • Practice using Associative Selection in Qlik Sense.
Refresh your understanding of data visualization concepts
Refreshing your understanding of data visualization concepts will allow you to approach this course with a better foundation.
Browse courses on Data Visualization
Show steps
  • Review the basics of data visualization, including different types of charts and graphs and how to choose the right one for your data
  • Practice creating data visualizations using a tool like Tableau or Google Data Studio
  • Complete a few online tutorials or courses on data visualization
Nine other activities
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Show all 12 activities
Understand Cognitive Engine
The Qlik Sense Cognitive Engine can help you to quickly and easily find insights in your data. Reviewing this concept will help you to use this powerful tool effectively.
Show steps
  • Watch a video tutorial on the Qlik Sense Cognitive Engine.
  • Experiment with the Cognitive Engine in Qlik Sense.
Practice using Qlik Sense's different selection models
Practicing using Qlik Sense's different selection models will help you become more proficient in using the software.
Show steps
  • Create a dataset with a variety of data types and relationships
  • Experiment with the different selection models to see how they affect the data visualization
  • Complete a few online tutorials or courses on Qlik Sense selection models
Follow a tutorial on using Smart Search and the Qlik Sense Cognitive Engine
Following a tutorial on using Smart Search and the Qlik Sense Cognitive Engine will help you learn how to use these tools to improve your data analysis.
Show steps
  • Find a tutorial that covers the basics of Smart Search and the Qlik Sense Cognitive Engine
  • Follow the steps in the tutorial to learn how to use these tools
  • Experiment with Smart Search and the Qlik Sense Cognitive Engine on your own dataset
Practice Alternate States
Alternate States allow you to create multiple views of the same data, each with its own set of selections. This can be a helpful way to compare different scenarios or to explore your data from different perspectives.
Show steps
  • Create a Qlik Sense app with multiple sheets.
  • Use Alternate States to create different views of the same data.
  • Compare the different views and explore your data from different perspectives.
Build a Visualization with Smart Search
Smart Search is a powerful tool that allows you to quickly and easily find data in your Qlik Sense app. This tutorial will teach you how to use Smart Search to build visualizations and explore your data.
Show steps
  • Watch a video tutorial on Smart Search.
  • Build a Qlik Sense app with multiple visualizations.
  • Use Smart Search to find data and build visualizations.
Start a project to build a data visualization dashboard using Qlik Sense
Starting a project to create a data visualization dashboard using Qlik Sense will allow you to apply the skills you learn in this course to a real-world project.
Browse courses on Qlik Sense
Show steps
  • Define the scope of your project, including the data you will use and the visualizations you want to create
  • Gather the necessary data and prepare it for use in Qlik Sense
  • Create the visualizations and dashboards in Qlik Sense
  • Test your dashboard and make any necessary adjustments
Create a Data Visualization with Alternate States
Creating a data visualization with Alternate States is a great way to explore your data from different perspectives and to compare different scenarios. This activity will provide you with hands-on experience with this powerful technique.
Show steps
  • Choose a dataset that you want to visualize.
  • Design a visualization that will help you to explore your data from different perspectives.
  • Create Alternate States to represent different scenarios.
  • Share your visualization with others.
Mentor a Qlik Sense Beginner
Mentoring a Qlik Sense beginner is a great way to share your knowledge and help others to learn. This activity will provide you with the opportunity to give back to the community and to develop your leadership skills.
Browse courses on Qlik Sense
Show steps
  • Find a Qlik Sense beginner who is looking for a mentor.
  • Schedule regular meetings with your mentee.
  • Answer your mentee's questions and provide guidance.
  • Help your mentee to develop their Qlik Sense skills.
Create a Qlik Sense Resource Guide
Creating a Qlik Sense resource guide is a great way to organize and share your knowledge. This activity will provide you with the opportunity to review the material you have learned and to identify resources that can be helpful to others.
Browse courses on Qlik Sense
Show steps
  • Gather resources on Qlik Sense.
  • Organize the resources into a logical structure.
  • Create a document or website to share your resource guide.
  • Share your resource guide with others.

Career center

Learners who complete Analyzing Data with Qlik Sense will develop knowledge and skills that may be useful to these careers:
Data Analyst
A Data Analyst collects, transforms, and analyzes data to uncover trends, patterns, and insights that inform business decisions. The Analyzing Data with Qlik Sense course can help build a foundation for this role by teaching 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. This course can be particularly useful for Data Analysts who want to use Qlik Sense to gain insights from data in a sophisticated and compelling manner.
Data Visualization Specialist
A Data Visualization Specialist designs and develops data visualizations to communicate data insights. The Analyzing Data with Qlik Sense course can help build a foundation for this role by teaching 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. This course can be particularly useful for Data Visualization Specialists who want to use Qlik Sense to create sophisticated and compelling data visualizations.
Business Analyst
A Business Analyst provides insights and recommendations to help businesses improve their performance. The Analyzing Data with Qlik Sense course can be helpful for Business Analysts who want to use Qlik Sense to analyze data and make better decisions. This course can help Business Analysts learn how to use 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.
Market Researcher
A Market Researcher collects and analyzes data to understand consumer behavior and trends. The Analyzing Data with Qlik Sense course can be helpful for Market Researchers who want to use Qlik Sense to analyze data and gain insights into consumer behavior. This course can help Market Researchers learn how to use 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.
Data Scientist
A Data Scientist uses data to build models that can help businesses make better decisions. The Analyzing Data with Qlik Sense course may be useful for Data Scientists who want to learn how to use Qlik Sense to analyze data and build models. This course can help Data Scientists learn how to use 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.
Operations Research Analyst
An Operations Research Analyst uses mathematical and analytical techniques to solve business problems. The Analyzing Data with Qlik Sense course may be useful for Operations Research Analysts who want to use Qlik Sense to analyze data and solve business problems. This course can help Operations Research Analysts learn how to use 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.
Financial Analyst
A Financial Analyst analyzes financial data to make recommendations on investments. The Analyzing Data with Qlik Sense course may be useful for Financial Analysts who want to use Qlik Sense to analyze financial data and make better investment decisions. This course can help Financial Analysts learn how to use 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.
Quantitative Analyst
A Quantitative Analyst uses mathematical and statistical techniques to analyze financial data. The Analyzing Data with Qlik Sense course may be useful for Quantitative Analysts who want to use Qlik Sense to analyze financial data and make better investment decisions. This course can help Quantitative Analysts learn how to use 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.
Information Architect
An Information Architect designs and organizes information systems to make them more usable and effective. The Analyzing Data with Qlik Sense course may be useful for Information Architects who want to use Qlik Sense to design and organize data visualization applications. This course can help Information Architects learn how to use 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.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. The Analyzing Data with Qlik Sense course may be useful for Software Engineers who want to use Qlik Sense to develop data visualization applications. This course can help Software Engineers learn how to use 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.
Database Administrator
A Database Administrator manages and maintains databases. The Analyzing Data with Qlik Sense course may be useful for Database Administrators who want to use Qlik Sense to monitor database performance and identify potential problems. This course can help Database Administrators learn how to use 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.
Product Manager
A Product Manager plans and manages the development of software products. The Analyzing Data with Qlik Sense course may be useful for Product Managers who want to use Qlik Sense to track product usage and identify areas for improvement. This course can help Product Managers learn how to use 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.
Data Engineer
A Data Engineer designs and builds data pipelines to move data from one system to another. The Analyzing Data with Qlik Sense course may be useful for Data Engineers who want to use Qlik Sense to monitor data pipelines and identify potential problems. This course can help Data Engineers learn how to use 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.
IT Manager
An IT Manager plans and manages the IT infrastructure of an organization. The Analyzing Data with Qlik Sense course may be useful for IT Managers who want to use Qlik Sense to monitor IT infrastructure and identify potential problems. This course can help IT Managers learn how to use 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.
User Experience Designer
A User Experience Designer designs and evaluates user interfaces to make them more usable and enjoyable. The Analyzing Data with Qlik Sense course may be useful for User Experience Designers who want to use Qlik Sense to design and evaluate data visualization applications. This course can help User Experience Designers learn how to use 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.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Analyzing Data with Qlik Sense.
This classic work by Edward Tufte presents timeless principles of data visualization. It valuable resource for anyone seeking to create effective and insightful data visualizations.
This textbook provides a rigorous foundation in the principles and techniques of data visualization. It valuable resource for those seeking a deeper understanding of the subject matter.
Offers a comprehensive overview of data visualization techniques and best practices. It provides a solid foundation for understanding the principles behind effective data visualization.
Provides a comprehensive introduction to the R programming language, which can be used for data analysis and visualization. It useful resource for those who want to extend their skills beyond Qlik Sense.
Offers a comprehensive overview of the Python programming language for data analysis. It valuable resource for those who want to explore alternative tools for data manipulation and visualization.
This classic work in data warehousing provides fundamental knowledge and best practices for designing and implementing data warehouses. It serves as a useful reference for understanding the underlying principles behind data analysis and visualization.

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