Advanced Data Analysis and Collaboration in Qlik Sense Course Syllabus

Overview: This course is designed for advanced learners aiming to master data analysis, visualization, and collaboration in Qlik Sense. Over approximately 2 hours and 42 minutes, participants will progress through a series of structured modules blending theory, hands-on exercises, and real-world applications. The curriculum emphasizes advanced expressions, calculated fields, set analysis, conditional formatting, and collaborative dashboard development. Each module includes practical assignments and case studies to reinforce learning. The course concludes with a capstone project, enabling learners to demonstrate proficiency and build a professional portfolio. Flexible deadlines and self-paced learning make it ideal for working professionals.

Module 1: Introduction & Foundations

Estimated time: 3.5 hours

• Case study analysis with real-world examples
• Review of tools and frameworks commonly used in practice
• Introduction to Qlik Sense interface and navigation
• Foundations of data storytelling and dashboard design

Module 2: Core Concepts & Theory

Estimated time: 4 hours

• Review of fundamental Qlik Sense principles
• Discussion of best practices and industry standards
• Hands-on exercises applying core concepts and theory
• Understanding data models and associations

Module 3: Practical Application & Techniques

Estimated time: 2 hours

• Guided project work with instructor feedback
• Case study analysis with real-world examples
• Applying calculated fields and expressions
• Implementing conditional formatting in visualizations

Module 4: Advanced Topics & Methods

Estimated time: 2.5 hours

• Deep dive into Set Analysis syntax and use cases
• Advanced expression writing for dynamic analysis
• Hands-on exercises applying advanced methods
• Optimizing performance in large datasets

Module 5: Case Studies & Real-World Projects

Estimated time: 3 hours

• Review of tools and frameworks commonly used in practice
• Hands-on exercises applying case study techniques
• Collaborative dashboard development scenarios
• Real-world project simulation with peer review

Module 6: Capstone Project & Assessment

Estimated time: 1.5 hours

• Design and build a comprehensive Qlik Sense dashboard
• Incorporate advanced expressions and Set Analysis
• Submit for peer-reviewed assessment and feedback

Prerequisites

• Familiarity with basic Qlik Sense functionality
• Experience in data analysis or business intelligence
• Understanding of data modeling concepts

What You'll Be Able to Do After

• Apply advanced data analysis techniques using Qlik Sense
• Design interactive and insightful dashboards
• Utilize Set Analysis and calculated fields effectively
• Collaborate on data projects using best practices
• Present data-driven insights through compelling storytelling