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Embed Analytics with Qlik Sense APIs Intermediate

The Embed Analytics with <a href="#topic22017"class='topicdatalink'>Qlik Sense APIs</a> certification is a specialized qualification that validates an individual's mastery in <a href="#topic22018"class='topicdatalink'>Integrating analytic capabilities</a> within applications using <a href="#topic22017"class='topicdatalink'>Qlik Sense APIs</a>. It's a crucial tool in diverse industries since it aids in data-driven decision-making processes. It facilitates the seamless embedding of interactive, responsive, and smart analytics in applications, websites, and portals, thereby enhancing the level of data interaction and understanding. The certification covers basic fundamental concepts such as <a href="#topic22019"class='topicdatalink'>Data loading</a>, <a href="#topic22020"class='topicdatalink'>Data modeling</a>, <a href="#topic22021"class='topicdatalink'>App building</a>, and <a href="data-visualization-course-certification-training">Data Visualization</a>. Therefore, professionals with this certification can efficiently analyze, interpret, and visualize data, resulting in insightful business intelligence.<br/><br/>

16 Hours (2 Days)
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Course Overview

The Embed Analytics with Qlik Sense APIs course by Qlik is designed for developers, software engineers, and technical consultants who aim to integrate interactive analytics into custom applications using Qlik’s modern embedding framework. While there is no standalone certification exam specifically named for this course, it aligns closely with advanced Qlik Sense development skills validated through Qlik’s broader certification paths. This training serves roles such as Qlik Sense Developers, Full-Stack Engineers working on data-rich applications, and Solution Architects building embedded analytics for clients. With over 40,000 global organizations leveraging Qlik’s platform for data integration and analytics, including Fortune 500 companies in finance, healthcare, and retail, demand for professionals skilled in embedding Qlik visualizations is growing rapidly across digital transformation initiatives.

Participants in the Embed Analytics with Qlik Sense APIs program work directly with core technologies including qlik-embed web components, Qlik Cloud Analytics, OAuth 2.0 for secure authentication, @qlik/api libraries, enigma.js, and the Qlik Sense Engine API. The hands-on labs are conducted in a real-world development environment using tools like Visual Studio Code and a local web server, with access to a Qlik Cloud tenant for integration testing. Students build functional web applications that embed live Qlik visualizations, sheets, and dashboards using JavaScript-based components without relying on iframes. A key project involves creating a secure, single-page application that authenticates via OAuth2 and dynamically renders a full Qlik Sense sheet by retrieving and parsing its layout metadata, demonstrating production-grade embedding techniques used by enterprise software vendors and SaaS providers.

This course prepares learners for advanced implementation roles involving Qlik Sense APIs and supports preparation for Qlik’s professional certification tracks, which are recognized across industries for validating deep technical expertise in data visualization and analytics integration. Certified Qlik developers command competitive salaries, with professionals in India earning between ₹10–20 lakhs annually and U.S.-based developers averaging $95,000–$130,000, depending on experience and location. Koenig Solutions enhances this learning path with Guaranteed-to-Run batches, official courseware, and flexible 1-on-1 instructor-led training, ensuring personalized attention and practical mastery. Upon completion, professionals are equipped to deliver seamless, in-product analytics experiences that drive user engagement and business intelligence adoption in modern applications.

What You'll Learn

Design embedded analytics with Qlik Sense APIs using the Qlik-embed framework to deliver seamless user experiences
Authenticate web applications securely with Qlik Cloud APIs, ensuring data privacy and compliance
Implement Qlik Sense visualizations via Capability APIs to create dynamic, interactive dashboards
Deploy interactive sheets effortlessly using qlik-embed web components for real-time insights
Integrate Qlik Sense objects with the App Integration API to enhance data connectivity and usability
Secure embedded analytics within Qlik Cloud environments to protect sensitive information and meet industry standards

Skills You'll Gain

Qlik Sense APIs Qlik Sense Embedding Qlik Capability APIs Qlik Sense Mashups Qlik Sense Visualizations Qlik Sense Engine API Qlik Sense SaaS Integration Qlik-Embed Framework Nebula.js Visualizations REST API Integration JavaScript for Qlik HTML5 Embedding CSS Styling for Qlik OAuth2 Authentication Single Sign-On Integration Web Component Embedding Qlik Sense App Integration API

Prerequisites

Recommended knowledge before taking this course
  • Proficiency in JavaScript or TypeScript to leverage Qlik Capability APIs for embedding visualizations into front-end applications.
  • Expertise in using enigma.js to facilitate seamless interaction with the Qlik Engine API via WebSocket protocols.
  • Solid understanding of REST API principles and authenticated HTTP requests for secure data retrieval from Qlik Sense servers.
  • Practical experience with OAuth 2.0 and API key authentication methods to manage secure access within Qlik Cloud services.
  • Foundational knowledge of Qlik Sense architecture including apps, streams, and security models for effective integration.
  • Hands-on experience with modern web development tools and frameworks to build and deploy custom embedded analytics solutions.
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Certification Exam

Everything you need to know about the Embed Analytics with Qlik Sense APIs certification exam

Exam Details
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Multiple choice, labs & case studies
Questions
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What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Career Outcomes

78%

of Embed Analytics with Qlik Sense APIs certified professionals report career advancement within 6 months

Salary Impact

+24%

Average salary increase reported after obtaining the Embed Analytics with Qlik Sense APIs certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • Qlik Sense Developer
  • Embedded Analytics Engineer
  • Business Intelligence Developer
  • Analytics Integration Specialist
  • Qlik API Developer
  • Data Visualization Engineer

Companies Hiring

5,000+
Accenture Deloitte Capgemini Cognizant TCS Infosys JPMorgan Chase Goldman Sachs PepsiCo Unilever

and 5,000+ organizations worldwide seeking Embed Analytics with Qlik Sense APIs certified professionals

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  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

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    Azure Administrator

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  • ★★★★★

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    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

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  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

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    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

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  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

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    Security Analyst

    SC-300 Certified ✓ Verified
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  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

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    AI Engineer

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  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

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    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

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    Engineering Manager

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