QlikView Certification Training Course

Editorial Take

Edureka’s QlikView Certification Training Course delivers a structured, hands-on pathway for beginners aiming to master the full breadth of QlikView’s BI capabilities. From foundational concepts to server deployment, the course builds practical expertise through guided projects and real-world simulations. With a high rating of 9.7/10 and lifetime access, it positions learners to confidently enter BI roles requiring end-to-end QlikView proficiency. While it doesn’t cover the latest Qlik Sense innovations, its focus on core QlikView workflows makes it a strong foundational choice for aspiring analysts and developers.

Standout Strengths

• Comprehensive Curriculum: The course spans from BI fundamentals to server governance, ensuring no critical component of QlikView is overlooked. Learners gain exposure to every stage of the development lifecycle, making it ideal for holistic understanding.
• Hands-On Learning Model: Each module integrates practical exercises, such as installing QlikView Desktop or building a sample data model. This active engagement reinforces theoretical knowledge and accelerates skill retention through real application.
• Data Modeling Focus: The deep dive into associative data models and synthetic key resolution addresses a core strength of QlikView. Students learn to design optimized models that support accurate and efficient data analysis workflows.
• Scripting Proficiency: With three hours dedicated to load scripts, learners master extracting and transforming data from Excel, SQL, and CSV sources. This equips them to handle real-world ETL scenarios commonly faced in BI roles.
• Interactive Dashboard Development: The course teaches creation of dynamic dashboards using charts, pivot tables, and container objects. Through hands-on projects, students learn to build user-friendly interfaces for effective data exploration.
• Set Analysis Mastery: Learners are trained in advanced expressions and Set Analysis syntax to create comparative metrics and dynamic KPIs. This enables them to perform complex analytical calculations within QlikView applications.
• Server Deployment Skills: Module 7 covers publishing documents and configuring reload tasks on QlikView Server, a rare inclusion in beginner courses. This provides practical insight into production-level deployment and governance.
• Culminating Capstone Project: The final module integrates all prior skills into a complete BI application with scheduled reloads. This end-to-end experience simulates real job responsibilities and solidifies overall competency.

Honest Limitations

• Limited Modern Context: The course does not compare QlikView with Qlik Sense, leaving learners unaware of newer platform features. This may limit strategic decision-making in modern BI environments adopting Qlik’s newer tools.
• No Performance Scaling: There is no in-depth coverage of performance tuning for large datasets or high-concurrency systems. As a result, learners may struggle with optimization in enterprise-scale deployments.
• Assumes Stable Environment: The training presumes consistent access to QlikView Desktop and Server without troubleshooting guidance. Real-world issues like installation errors or connectivity problems are not addressed in depth.
• Fixed Learning Path: Without elective modules or branching content, learners cannot customize the course to their specific interests. This linear structure may not suit those seeking specialized expertise in visualization or scripting alone.
• No Peer Review: The absence of peer-reviewed projects or collaborative feedback loops limits opportunities for improvement through community input. Students must self-assess their dashboard and script quality without external validation.
• Basic Security Coverage: While user access and security rules are introduced, deeper topics like role-based permissions or audit logging are not explored. This leaves gaps for those targeting governance-heavy organizational roles.
• Static Content Format: The course relies heavily on instructor-led demos without adaptive learning elements or quizzes. Learners needing interactive assessments may find the format less engaging over time.
• Unclear Instructor Expertise: The instructor's background and industry experience are not disclosed, which may reduce perceived credibility. Prospective students cannot evaluate teaching quality based on professional track record.

How to Get the Most Out of It

• Study cadence: Follow a consistent pace of two modules per week to allow time for hands-on practice. This rhythm balances progress with deep understanding, preventing cognitive overload from complex scripting topics.
• Parallel project: Build a personal sales analytics dashboard using mock data from public sources. Applying concepts in parallel reinforces learning and creates a tangible portfolio piece for job applications.
• Note-taking: Use a digital notebook to document each script syntax and dashboard design decision. This creates a personalized reference guide that accelerates future development and debugging.
• Community: Join the Qlik Community forum to ask questions and share dashboard exports with peers. Engaging with active users provides real-time support and exposure to alternative problem-solving approaches.
• Practice: Rebuild each hands-on exercise twice—once following instructions, once independently. This repetition strengthens muscle memory and reveals gaps in true comprehension versus passive following.
• Environment setup: Install QlikView Desktop early and test all data connections before starting. Ensuring a stable workspace prevents technical delays that could derail momentum during time-sensitive modules.
• Script journal: Maintain a log of all load scripts written, including purpose and source system. This helps track evolving skills and serves as a troubleshooting repository when issues arise later.
• Feedback loop: Share your capstone project with a mentor or peer for constructive critique. External feedback highlights usability flaws or design inefficiencies that self-directed learners often overlook.

Supplementary Resources

• Book: 'QlikView Your Business' complements the course by offering real-world case studies and best practices. It expands on data modeling strategies and executive dashboard design beyond the course scope.
• Tool: Use QlikView Personal Edition, a free version, to practice scripting and visualization freely. This allows unlimited experimentation without licensing constraints or financial investment.
• Follow-up: Enroll in a Qlik Sense course to understand modern alternatives and migration paths. This builds on QlikView knowledge while preparing learners for current market demands.
• Reference: Keep the QlikView Help documentation open during exercises for syntax lookup and function details. This official resource clarifies command usage and supports faster debugging during development.
• Dataset: Download government open data portals like data.gov to practice loading diverse datasets. This enhances familiarity with CSV and Excel integration across different domains and formats.
• Video library: Supplement with YouTube tutorials on advanced Set Analysis and macro automation techniques. These visual walkthroughs can clarify complex topics not fully covered in the course demos.
• Template repository: Explore GitHub repositories with QlikView dashboard templates for design inspiration. Studying existing layouts improves aesthetic judgment and functional interactivity in personal projects.
• Testing framework: Create a checklist to validate each dashboard for usability, accuracy, and responsiveness. This systematic review process ensures professional-quality outputs aligned with industry standards.

Common Pitfalls

• Pitfall: Overlooking synthetic key warnings during data modeling can lead to inaccurate associations and slow performance. Always resolve these early by reviewing table relationships and applying appropriate joins or keys.
• Pitfall: Writing inefficient load scripts without incremental logic results in long reload times and resource strain. Plan for delta loads and optimize script structure to handle growing datasets efficiently.
• Pitfall: Ignoring user experience in dashboard design leads to cluttered visuals and poor interactivity. Prioritize clean layout, intuitive navigation, and responsive object behavior to enhance usability.
• Pitfall: Publishing untested documents to QlikView Server risks system instability and access issues. Always validate reload tasks and security settings in a development environment before deployment.
• Pitfall: Relying solely on default chart types limits analytical depth and insight generation. Experiment with container objects and advanced expressions to unlock deeper data storytelling capabilities.
• Pitfall: Skipping the capstone project undermines integration of end-to-end skills. Completing this final application ensures all components—from scripting to deployment—work cohesively in practice.

Time & Money ROI

• Time: Completing all eight modules requires approximately 18 hours, ideal for a two-week intensive study plan. This condensed format allows rapid upskilling without long-term time commitment.
• Cost-to-value: Given lifetime access and hands-on projects, the course offers strong value for entry-level learners. The investment is justified by practical skills directly applicable to BI job tasks.
• Certificate: The completion credential holds moderate weight in hiring, especially when paired with a portfolio. It signals foundational competence to employers in data-driven industries.
• Alternative: Free QlikView tutorials exist but lack structured progression and project guidance. Skipping paid training risks fragmented learning and missed best practices in professional settings.
• Job readiness: Graduates can pursue junior BI developer or analyst roles with confidence in core QlikView functions. The training prepares them for real-world responsibilities involving data integration and reporting.
• Skill transfer: Knowledge gained transfers well to other BI platforms due to shared ETL and visualization principles. This enhances long-term career flexibility beyond Qlik-specific roles.
• Upgrade path: The course serves as a springboard to advanced certifications or server administration roles. Learners can build on this foundation to pursue higher-paying technical positions.
• Consulting edge: Familiarity with QlikView gives consultants an advantage in legacy system environments. Many enterprises still rely on QlikView, creating demand for skilled support personnel.

Editorial Verdict

Edureka’s QlikView Certification Training Course stands out as a well-structured, beginner-friendly program that delivers tangible skills across the entire QlikView workflow. Its strength lies in the seamless integration of theory and practice, with each module reinforcing concepts through targeted hands-on exercises. From installing the desktop environment to deploying a fully functional BI application, learners are guided through a realistic development journey that mirrors actual job expectations. The capstone project, in particular, serves as a powerful culmination of skills, allowing students to demonstrate proficiency in data modeling, scripting, visualization, and server configuration. With a high rating of 9.7/10 and lifetime access, the course offers excellent value for those seeking to break into business intelligence roles or enhance their data analytics toolkit.

While the course excels in foundational training, it is not without limitations—most notably its lack of coverage on Qlik Sense and performance optimization at scale. These omissions mean learners should supplement their studies if aiming for modern, enterprise-grade BI environments. However, for its intended audience—beginners seeking a comprehensive introduction to QlikView—the course hits the mark. The absence of instructor credentials is a minor drawback, but the clarity of the demos and structure compensates. Ultimately, this course is best suited for individuals committed to mastering QlikView’s core functionalities and building a solid portfolio of work. When paired with supplementary resources and active community engagement, it provides a robust launchpad for a career in data analytics and BI development.