Create Visualizations with Qlik Sense Course Overview

Create Visualizations with Qlik Sense Course Overview

The "Create Visualizations with Qlik Sense" course is an in-depth training program designed for individuals looking to master data visualization and analytics using Qlik Sense software. This course covers a wide range of topics from the basics of Qlik Sense features such as smart search and responsive design to advanced data modeling and security measures.

As participants progress through the modules, they will learn key differences between Qlik Sense and QlikView, understand the various Qlik Sense editions, and get acquainted with its architecture and the Qlik associative engine. The course also delves into data preparation, loading from various sources, and creating effective data models.

Learners will explore a variety of visualization types, learn how to develop applications, and utilize expressions, functions, and variables for dynamic analysis. Advanced topics such as set analysis and data modeling best practices are also covered. Additionally, the course provides insights into collaboration features, security configurations, and the Qlik business analyst certification path.

By the end of the course, students will be well-equipped to create compelling visualizations, develop comprehensive Qlik Sense applications, and pursue Qlik courses for further certification, positioning themselves as valuable assets in the field of data analytics.

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  • Live Training (Duration : 16 Hours)
  • Per Participant
  • Classroom Training price is on request

♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

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Course Prerequisites

To successfully undertake training in the Create Visualizations with Qlik Sense course, students should meet the following minimum prerequisites:


  • Basic understanding of data concepts, including data relationships and modeling.
  • Familiarity with the concepts of data warehousing and the differences between Online Analytical Processing (OLAP) and Online Transaction Processing (OLTP).
  • Proficiency in working with Windows-based computers, including the ability to navigate the file system and perform basic operations.
  • Some experience with Excel or another spreadsheet tool, which will be helpful for understanding data manipulation and analysis.
  • An interest in learning about data visualization and business intelligence.

Please note that while prior experience with Qlik Sense or QlikView is beneficial, it is not a requirement for this course. The training is designed to guide learners through the basics and gradually build up to more advanced topics.


Target Audience for Create Visualizations with Qlik Sense

The "Create Visualizations with Qlik Sense" course offers comprehensive training in data visualization and analytics using Qlik Sense software, ideal for professionals in data-driven roles.


Target audience for the course includes:


  • Data Analysts
  • Business Intelligence Professionals
  • Data Visualization Specialists
  • Business Analysts
  • QlikView Developers transitioning to Qlik Sense
  • Data Science Enthusiasts
  • BI/BA Team Leads
  • IT Managers overseeing BI tools
  • Database Professionals
  • Solutions Architects
  • System Administrators managing Qlik Sense environments
  • Data Warehousing Specialists
  • Product Managers/Owners looking to visualize product data
  • Marketing Analysts seeking to analyze and visualize marketing data
  • Financial Analysts needing dynamic reporting tools
  • Project Managers involved in projects requiring data analysis and visualization
  • Consultants providing BI solutions to clients


Learning Objectives - What you will Learn in this Create Visualizations with Qlik Sense?

Introduction to Course Learning Outcomes

This course equips participants with the skills to effectively utilize Qlik Sense for creating dynamic visualizations, interpreting data, developing applications, and collaborating on insights.

Learning Objectives and Outcomes

  • Understand the distinctive features of Qlik Sense, including smart search and responsive design, and differentiate between Qlik Sense and QlikView.
  • Learn about various Qlik Sense editions and grasp the underlying architecture that supports Qlik Sense functionality.
  • Navigate and interact effectively with the Qlik Sense user interface and leverage the associative engine for data analysis.
  • Acquire the ability to prepare and load data from various sources using Qlik Sense's Data Manager and create basic data models.
  • Interpret and interact with different visualization types, understanding the Dashboard and Visualization Bundles for effective data storytelling.
  • Develop Qlik Sense applications by managing dimensions, measures, and objects, and structuring apps with sheets, filters, and bookmarks.
  • Enhance data analysis with expressions, functions, and variables, utilizing the expression editor and mastering the creation of master items.
  • Understand data modeling concepts, including the comparison of OLAP and OLTP systems, and apply best practices for building efficient data models.
  • Learn Set Analysis to perform advanced data comparisons and computations within Qlik Sense applications.
  • Collaborate within Qlik Sense by mastering storytelling, publishing, exporting, and understanding security features like section access and dynamic data reduction.

Technical Topic Explanation

Data visualization

Data visualization is the practice of representing data in graphical formats such as charts, graphs, and maps to help communicate information clearly and efficiently. With data visualization, patterns, trends, and correlations that might go unnoticed in text-based data can be exposed and recognized easily. Tools like Qlik Sense offer courses and training for individuals aiming to enhance their skills in this field. **Qlik Sense online courses** and **Qlik Sense training**, including specialized **Qlik Business Analyst Certification**, provide comprehensive learning opportunities for mastering data visualization techniques.

Data modeling

Data modeling is the process of creating a visual representation of a system or information. It helps in organizing data according to rules and guidelines to make databases efficient and manageable. By creating structured diagrams, data modeling provides a clear framework for data collection, storage, and retrieval, which is essential for developing and maintaining databases that support business processes effectively. This foundational step is crucial in systems design and plays a significant role in the success of applications like Qlik Sense, which facilitates data analysis and visualization in business environments.

Smart search

Smart search is a technology that enhances the user's ability to find information quickly and accurately through intelligent and intuitive search functionalities. It utilizes natural language processing and machine learning to understand the intent behind queries, provide contextually relevant results, and learn from interactions to improve future searches. Smart search is widely used in various platforms such as e-commerce sites, data analytics tools like Qlik Sense, and digital libraries, optimizing the user experience by making data discovery more efficient and user-friendly.

Responsive design

Responsive design is an approach in web development that ensures a website looks good and works well on different devices, like phones, tablets, and desktops. It uses flexible layouts, images, and CSS media queries to adapt the display to the user's screen size and orientation, providing an optimal viewing experience. By dynamically adjusting the content, responsive design improves usability and accessibility, making websites more efficient and visually appealing across varying devices. This method helps in maintaining design consistency and user satisfaction as each visitor enjoys a tailored browsing experience no matter the device used.

Security measures

Security measures are the practices and technologies that organizations implement to protect information, systems, and networks from cyber threats. These measures include using firewalls, antivirus software, and encryption to safeguard data. Strong user authentication, such as multi-factor authentication, ensures that access to sensitive information is controlled. Regular security audits and monitoring are conducted to detect and respond to vulnerabilities promptly. Employee training on security protocols helps minimize the risk of data breaches caused by human error. Together, these strategies form a comprehensive defense mechanism against a variety of cyber incidents.

Qlik associative engine

The Qlik Associative Engine powers the advanced data analysis capabilities in Qlik Sense, a popular data visualization tool. Unlike traditional data engines that query based on pre-set conditions, the Qlik Associative Engine works by linking all the data points across different sources within your dataset dynamically. This means every data connection you make can reveal hidden trends and associations immediately, helping to drive deeper insights and inform decision-making. Ideal for strengthening skills through a Qlik Sense full course or Qlik Sense online training, the engine is an integral part of coursework aimed at obtaining a Qlik Business Analyst Certification.

Set analysis

Set analysis in Qlik Sense is a powerful feature that allows users to define specific data subsets for dynamic comparison and complex data calculations within their dashboards. This technique is essential in Qlik Sense training and courses, including the Qlik Sense full course and the Qlik Sense online course, as it helps in developing advanced data insights. It is particularly useful in scenarios where business analysts need to perform conditional analyses, such as comparing sales data between different time periods or among various regions, which is crucial for earning a Qlik Business Analyst certification.

Data preparation

Data preparation involves cleaning and transforming raw data before analysis or processing. This step is crucial as it converts data into a format that is workable and ensures accuracy in the results. Activities in data preparation include removing errors, handling missing values, standardizing data formats, and selecting subsets of data relevant to specific tasks. Effective data preparation increases the efficiency of data analysis tools like Qlik Sense, and is fundamental for those aiming for certifications like the Qlik Business Analyst Certification. This process serves as the foundation for insightful data-driven decision-making in various business scenarios.

Creating effective data models

Creating effective data models involves designing structures that accurately organize, relate, and integrate data for analysis. It is essential for ensuring data is accessible and usable in decision-making. Effective models support performance optimization in tools like Qlik Sense. Well-constructed models allow for advanced data analysis, crucial for achieving insights. To master these techniques, you might consider a Qlik Sense full course or Qlik Sense online training, which can lead to a Qlik Business Analyst Certification. Qlik Sense online courses and Qlik Sense training focus on practical, hands-on learning to develop proficiency in data-modeling.

Visualization types

Visualization types refer to the different ways data can be visually represented to enhance understanding and facilitate analysis. Common types include bar graphs, line charts, pie charts, scatter plots, and heat maps. Each type serves unique purposes; for instance, bar graphs compare quantities, while line charts show trends over time. Advanced visualization tools like Qlik Sense offer interactive features that allow for dynamic data exploration, making it easier for business analysts to identify patterns and insights crucial for decision-making. These tools are central to courses and certifications focused on business analytics and data visualization.

Expressions, functions, and variables

Expressions in programming are combinations of values and operations that are processed by the computer to produce another value. Functions are reusable blocks of code that perform specific tasks; they take inputs, process them, and return outputs. Variables are named storage locations in a computer's memory used to hold data that can change as program executes. Together, these components are fundamental in building and understanding software and algorithms in fields like Qlik Sense training, enhancing skills in data analytics and business intelligence through courses like Qlik Sense online training or Qlik Sense full course.

Data modeling

Data modeling involves organizing data elements and standardizing how the data relates to one another and to properties of the real world. Best practices include understanding the business requirements clearly, using normalization to reduce data redundancy, ensuring data integrity, and employing consistent naming conventions. Regularly reviewing and updating the model as business needs evolve is crucial to maintain its relevance. Effective communication with stakeholders and iterative development enhance the model's accuracy and functionality. Training through courses like a Qlik Sense online course can provide deeper insights and practical skills in this area.

Security configurations

Security configurations entail setting up and adjusting the measures and controls within computer systems to protect the integrity, confidentiality, and availability of information. These settings define who has access to information and systems, restrict unauthorized individuals, and protect against threats. They encompass everything from user permissions, password policies, and firewalls, to encryption methods and anti-virus software. Effective security configurations help prevent data breaches, ensure privacy, maintain data integrity, and enable secure access to technology resources. These configurations require regular updates and monitoring to adapt to new security threats and vulnerabilities.

Target Audience for Create Visualizations with Qlik Sense

The "Create Visualizations with Qlik Sense" course offers comprehensive training in data visualization and analytics using Qlik Sense software, ideal for professionals in data-driven roles.


Target audience for the course includes:


  • Data Analysts
  • Business Intelligence Professionals
  • Data Visualization Specialists
  • Business Analysts
  • QlikView Developers transitioning to Qlik Sense
  • Data Science Enthusiasts
  • BI/BA Team Leads
  • IT Managers overseeing BI tools
  • Database Professionals
  • Solutions Architects
  • System Administrators managing Qlik Sense environments
  • Data Warehousing Specialists
  • Product Managers/Owners looking to visualize product data
  • Marketing Analysts seeking to analyze and visualize marketing data
  • Financial Analysts needing dynamic reporting tools
  • Project Managers involved in projects requiring data analysis and visualization
  • Consultants providing BI solutions to clients


Learning Objectives - What you will Learn in this Create Visualizations with Qlik Sense?

Introduction to Course Learning Outcomes

This course equips participants with the skills to effectively utilize Qlik Sense for creating dynamic visualizations, interpreting data, developing applications, and collaborating on insights.

Learning Objectives and Outcomes

  • Understand the distinctive features of Qlik Sense, including smart search and responsive design, and differentiate between Qlik Sense and QlikView.
  • Learn about various Qlik Sense editions and grasp the underlying architecture that supports Qlik Sense functionality.
  • Navigate and interact effectively with the Qlik Sense user interface and leverage the associative engine for data analysis.
  • Acquire the ability to prepare and load data from various sources using Qlik Sense's Data Manager and create basic data models.
  • Interpret and interact with different visualization types, understanding the Dashboard and Visualization Bundles for effective data storytelling.
  • Develop Qlik Sense applications by managing dimensions, measures, and objects, and structuring apps with sheets, filters, and bookmarks.
  • Enhance data analysis with expressions, functions, and variables, utilizing the expression editor and mastering the creation of master items.
  • Understand data modeling concepts, including the comparison of OLAP and OLTP systems, and apply best practices for building efficient data models.
  • Learn Set Analysis to perform advanced data comparisons and computations within Qlik Sense applications.
  • Collaborate within Qlik Sense by mastering storytelling, publishing, exporting, and understanding security features like section access and dynamic data reduction.