QlikView Training in Sri Lanka

This course provides an in-depth understanding of QlikView, a leading data visualization and business intelligence (BI) tool. Participants will learn how to create interactive dashboards, develop data models, and optimize data transformation processes. The course covers QlikView architecture, scripting, data loading, visualization techniques, and performance tuning to help businesses make data-driven decisions.

Welcome to the official QlikView Training certification program. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge in in Sri Lanka. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 21 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

• Basic understanding of databases and SQL
• Familiarity with data visualization concepts
• Knowledge of Excel formulas and pivot tables is beneficial but not required
• Basic programming knowledge (optional, but helpful for scripting)

• Data Extraction & Transformation using QlikView scripting
• Data Modeling & Associations for efficient analysis
• Visualization Development (Charts, Tables, KPIs, etc.)
• Scripting & Set Analysis for advanced calculations
• Performance Tuning & Optimization
• Security & Access Control for user roles
• Deployment & Publishing of Dashboards

By the end of this course, participants will be able to:

• Understand QlikView's architecture and core components
• Connect to different data sources and transform raw data
• Develop interactive dashboards and reports
• Apply QlikView scripting for advanced data processing
• Implement data modeling best practices
• Optimize performance through data reduction and aggregation techniques
• Understand security settings for user access management