Data Analytics using Qlik Sense Course Overview

Data Analytics using Qlik Sense Course Overview

The Data Analytics using Qlik Sense course is a comprehensive learning path designed for individuals seeking expertise in Qlik Sense for performing data analytics. By delving into this course, learners will gain a robust understanding of how Qlik Sense stands out from QlikView and the significance of self-service BI tools. They will explore its intuitive interface for creating dynamic dashboards and reports along with practical skills such as data modeling, Creating data architectures, and mastering advanced data modeling techniques.

Furthermore, the course covers Qlik Sense's enterprise capabilities, Visualization tools, Set analysis, and Advanced chart creation. Learners will also familiarize themselves with the Master Library, the art of Data storytelling, and extending Qlik Sense's functionality through Mashups and extensions. Security aspects form an essential component of the curriculum, ensuring users understand how to manage content security and implement security rules effectively.

Armed with the knowledge from this course, learners will excel in harnessing Qlik Sense for insightful data discovery, Visual analytics, and collaboration among team members, thereby enhancing their data-driven decision-making capabilities in the business landscape.

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  • Live Training (Duration : 32 Hours)
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  • Classroom Training price is on request

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Koenig's Unique Offerings

Course Prerequisites

To ensure that you can successfully undertake the Data Analytics using Qlik Sense course and gain the most from it, the following are the minimum required prerequisites:


  • Basic Understanding of Data Concepts: Familiarity with the basic concepts of data and its importance in business decision-making.
  • Familiarity with Business Intelligence: An understanding of what business intelligence (BI) is and why it is beneficial to organizations.
  • Interest in Data Visualization: A keen interest in visualizing data and extracting insights from visual representations.
  • Elementary Computer Literacy: Competence in using a computer, managing files, and navigating through software interfaces.
  • Basic Knowledge of Data Handling: Understanding of how data can be sourced, manipulated, and organized for analysis.
  • Problem-Solving Skills: An analytical mindset and the ability to think critically to solve problems using data.
  • Willingness to Learn: A readiness to engage with new tools and concepts related to data analytics and visualization.

No prior experience with Qlik Sense or QlikView is required, as the course will cover the necessary foundations of these tools. However, those with experience in other BI tools or data analytics may find it easier to grasp the concepts introduced in the course.


Target Audience for Data Analytics using Qlik Sense

Koenig Solutions' Data Analytics using Qlik Sense course is designed for professionals seeking expertise in dynamic data visualization and analytics.


  • Data Analysts
  • Business Intelligence Professionals
  • Business Analysts
  • Data Science Enthusiasts
  • IT Analysts
  • BI Developers
  • Reporting Professionals
  • Data Visualization Specialists
  • Project Managers overseeing BI tasks
  • Professionals looking to transition into data-centric roles
  • QlikView Developers upgrading to Qlik Sense
  • System Administrators managing BI tools
  • Database Professionals aiming to enhance their reporting skills
  • Product Managers requiring analytics for product performance tracking
  • Marketing Managers needing insights from customer data
  • Financial Analysts seeking advanced reporting tools
  • Quality Assurance Specialists involved in data validation and visualization
  • Data Architects
  • Students pursuing a career in data analytics or business intelligence


Learning Objectives - What you will Learn in this Data Analytics using Qlik Sense?

Introduction to Learning Outcomes:

The Data Analytics using Qlik Sense course equips learners with comprehensive skills in data visualization, modeling, and analytics to create insightful dashboards and reports using Qlik Sense tools.

Learning Objectives and Outcomes:

  • Understand the differences between Qlik Sense and QlikView and the importance of self-service BI tools.
  • Master the drag-and-drop visualization features and the Qlik Data indexing engine for effective data handling.
  • Learn data modeling best practices to efficiently transform and relate data within Qlik Sense.
  • Develop ability to create a robust data architecture, including conversion of QlikView files and managing synthetic keys and circular references.
  • Gain expertise in advanced data modeling techniques, such as using star schema, link tables, and creating optimized data models.
  • Explore Qlik Sense Enterprise tools for rapid app development, Big Data integration, and maintaining enterprise security.
  • Create compelling visualizations with Qlik Sense charts, maps, and storytelling features for enhanced data presentations.
  • Acquire skills in set analysis for complex comparative and point-in-time analyses to extract deeper insights.
  • Learn to build and test mashups and extensions to extend Qlik Sense capabilities and create custom visual experiences.
  • Understand security mechanisms within Qlik Sense, including content security, security rules, and dynamic data reduction strategies.

Technical Topic Explanation

Data modeling

Data modeling is the process of creating a visual representation of a system or database to define how data elements interconnect. Think of it as a blueprint for building a database, where each part of the model relates to how data is stored and used. It helps organize and manage data efficiently, ensuring that it is accurate and accessible. This systematic approach is crucial for developing robust databases that support business processes effectively, helping in better decision-making and strategic planning.

Creating data architectures

Creating data architectures involves designing the frameworks and methods that define how data is collected, stored, processed, and utilized by businesses. This process ensures that data remains consistent, easily accessible, and secure, supporting various business applications and environments. Effective data architectures help organizations make informed decisions by maintaining a structured, well-integrated system for data governance, quality control, and lifecycle management. The goal is to maximize the value of the data across all business departments while ensuring compliance with policies and regulations.

Set analysis

Set analysis in Qlik Sense is a powerful feature used to perform dynamic data aggregations, where you can define subsets of data for comparative analysis directly within your visualizations. This technique allows for complex calculations and data comparisons, such as analyzing sales performance of current year versus previous year or comparing segments within your data. By specifying criteria in set expressions, users can filter and drill down data not just by direct selection but through advanced conditional logic, enhancing the depth and flexibility of insights derived from business data.

Visualization tools

Visualization tools are software applications designed to help users create graphical representations of data sets to easily interpret and communicate complex information and trends. These tools are essential in data analysis, transforming raw data into charts, graphs, and other visual formats that enhance understanding. Qlik Sense is a notable example, offering interactive dashboards and personalized reports. Professionals can enhance their skills through Qlik Sense training courses and Qlik Sense online training programs. Investing in Qlik Sense certification affirms expertise in the tool, although potential users should consider the Qlik Sense certification cost when planning their learning path.

Advanced chart creation

Advanced chart creation involves designing sophisticated visualizations to represent complex data clearly and effectively. By using tools like Qlik Sense, you can construct interactive and dynamic charts that allow for deeper data exploration. In Qlik Sense, training courses often include modules on advanced chart techniques, enhancing both the aesthetic appeal and the analytical utility of the charts. These courses prepare you for Qlik Sense certification, which confirms your proficiency and can involve additional costs. Opting for Qlik Sense online training offers flexibility and convenience, making it easier for professionals to enhance their chart creation skills.

Master Library

A Master Library in a technological context refers to a centralized repository that securely stores and manages master versions of company documents, digital assets, or software components. It facilitates consistent use and distribution of these resources across multiple departments or projects within an organization. Typically implemented in sectors where data integrity, version control, and access management are critical, a master library helps in maintaining uniformity, ensuring compliance, and boosting efficiency by providing employees with accurate and up-to-date data. This system is key in environments that require precise information delivery and robust document or data management processes.

Collaboration

Collaboration in a professional context refers to the process where individuals or groups work together to achieve shared goals. It involves communication, coordination, and sharing of resources and responsibilities to enhance team efficiency and productivity. Effective collaboration can lead to innovative solutions and successful project outcomes. It often incorporates various technologies and platforms that facilitate seamless interactions and management of workflows among team members, whether they are in the same location or distributed globally.

Data storytelling

Data storytelling is the process of translating complex data analyses into understandable, practical narratives for decision-making and communication. It involves using visual tools, like charts and graphs, along with narrative techniques to tell compelling stories with data. This approach helps businesses and organizations communicate insights more effectively, facilitating better understanding and action from their data. Tools like Qlik Sense enhance data storytelling by allowing users to easily create visualizations and deliver engaging, interactive reports. These tools often provide training courses, certification options, and online learning to enhance skills in effectively crafting data-driven stories.

Mashups and extensions

Mashups in technology refer to combining data or functionality from multiple sources to create a new service or application. Extensions, on the other hand, are add-ons or additional pieces of software that enhance the functionality of an existing application. Both are used to improve user experience and offer customized solutions tailored to specific needs in various software environments, including platforms like Qlik Sense. For instance, in Qlik Sense, extensions can add visualization capabilities or integrate new data processing features, enhancing both the analysis potential and interactive capabilities of business intelligence projects.

Visual analytics

Visual analytics is the science of analytical reasoning facilitated by interactive visual interfaces. It combines data analysis and visualization to make complex data understandable, allowing users to discern patterns, trends, and actionable insights quickly. This method is pivotal for professionals looking to streamline decision processes and enhance understanding through data-driven insights. Tools like Qlik Sense leverage visual analytics by providing comprehensive training courses and certification programs. These not only help in mastering the software but also assist in validating skills through recognized certifications, potentially involving some cost for certification.

Target Audience for Data Analytics using Qlik Sense

Koenig Solutions' Data Analytics using Qlik Sense course is designed for professionals seeking expertise in dynamic data visualization and analytics.


  • Data Analysts
  • Business Intelligence Professionals
  • Business Analysts
  • Data Science Enthusiasts
  • IT Analysts
  • BI Developers
  • Reporting Professionals
  • Data Visualization Specialists
  • Project Managers overseeing BI tasks
  • Professionals looking to transition into data-centric roles
  • QlikView Developers upgrading to Qlik Sense
  • System Administrators managing BI tools
  • Database Professionals aiming to enhance their reporting skills
  • Product Managers requiring analytics for product performance tracking
  • Marketing Managers needing insights from customer data
  • Financial Analysts seeking advanced reporting tools
  • Quality Assurance Specialists involved in data validation and visualization
  • Data Architects
  • Students pursuing a career in data analytics or business intelligence


Learning Objectives - What you will Learn in this Data Analytics using Qlik Sense?

Introduction to Learning Outcomes:

The Data Analytics using Qlik Sense course equips learners with comprehensive skills in data visualization, modeling, and analytics to create insightful dashboards and reports using Qlik Sense tools.

Learning Objectives and Outcomes:

  • Understand the differences between Qlik Sense and QlikView and the importance of self-service BI tools.
  • Master the drag-and-drop visualization features and the Qlik Data indexing engine for effective data handling.
  • Learn data modeling best practices to efficiently transform and relate data within Qlik Sense.
  • Develop ability to create a robust data architecture, including conversion of QlikView files and managing synthetic keys and circular references.
  • Gain expertise in advanced data modeling techniques, such as using star schema, link tables, and creating optimized data models.
  • Explore Qlik Sense Enterprise tools for rapid app development, Big Data integration, and maintaining enterprise security.
  • Create compelling visualizations with Qlik Sense charts, maps, and storytelling features for enhanced data presentations.
  • Acquire skills in set analysis for complex comparative and point-in-time analyses to extract deeper insights.
  • Learn to build and test mashups and extensions to extend Qlik Sense capabilities and create custom visual experiences.
  • Understand security mechanisms within Qlik Sense, including content security, security rules, and dynamic data reduction strategies.