Introduction

Qlik Sense is a powerful platform for modern data analytics and business intelligence, providing intuitive tools for data visualization, exploration, and storytelling. It empowers users to make data-driven decisions by simplifying the complexities of big data analysis and enabling self-service BI capabilities.

This course will guide participants through mastering Qlik Sense, from building dashboards to advanced analytics. By the end, learners will have the skills to transform raw data into actionable insights using Qlik Sense’s robust visualization and analysis tools.

Prerequisites

• Basic knowledge of data analysis concepts
• Familiarity with business intelligence processes is helpful but not required

Table of Contents

1. Introduction to Qlik Sense
   1.1 Overview of Qlik Sense and its Ecosystem
   1.2 Key Features of Qlik Sense for Data Analytics
   1.3 Installing and Navigating the Qlik Sense Interface
   1.4 Understanding Associative Data Models
2. Data Loading and Preparation
   2.1 Connecting to Various Data Sources
   2.2 Importing, Cleaning, and Transforming Data
   2.3 Data Modeling with Qlik Sense: Keys, Relationships, and Joins
   2.4 Creating and Managing Data Load Scripts
3. Data Visualization Fundamentals
   3.1 Exploring Chart Types: Bar, Line, Pie, and Scatter
   3.2 Creating and Customizing Dashboards
   3.3 Using Filters and Drill-Downs for Interactive Analysis
   3.4 Best Practices for Data Storytelling
4. Advanced Analytics in Qlik Sense
   4.1 Using Expressions and Set Analysis
   4.2 Performing Calculations and Aggregations
   4.3 Advanced Scripting Techniques(Ref: SAS Certified Data Scientist: Advanced Analytics Training)
   4.4 Incorporating Statistical and Predictive Analytics
5. Self-Service QlikSense Data Analytics Business Intelligence
   5.1 Creating User-Friendly Dashboards for Self-Service
   5.2 Leveraging Qlik Sense Smart Search and Insights
   5.3 Empowering Teams with Collaborative BI Tools
   5.4 Building Personalized User Experiences
6. Advanced Visualizations and Extensions
   6.1 Designing Complex Visualizations for Advanced Use Cases
   6.2 Exploring Extensions and APIs for Custom Visuals
   6.3 Integrating Qlik Sense with Third-Party Tools
   6.4 Embedding Qlik Sense in Web Applications
7. Governance and Security
   7.1 Managing User Roles and Permissions
   7.2 Data Governance Best Practices
   7.3 Ensuring Data Security and Compliance
   7.4 Monitoring and Optimizing Performance
8. Deploying and Sharing Insights
   8.1 Publishing Dashboards to the Hub
   8.2 Sharing Insights with Stories and Snapshots
   8.3 Exporting Data and Visualizations
   8.4 Collaborative Reporting for Teams
9. Real-World Applications and Case Studies
   9.1 Sales Performance Analysis
   9.2 Customer Segmentation and Retention Strategies
   9.3 Operational Analytics for Supply Chain Management
   9.4 Financial Reporting and Risk Management
10. Conclusion of QlikSense Data Analytics
    10.1 Recap of Key Qlik Sense Features and Techniques
    10.2 Common Challenges and Solutions in BI Projects
    10.3 Resources for Advanced Learning
    10.4 Future Trends in Data Analytics and BI

Conclusion

Mastering Qlik Sense equips professionals with the ability to unlock insights from data, create stunning visualizations, and drive strategic decisions with ease. This course has provided a comprehensive understanding of Qlik Sense’s features, from foundational concepts to advanced techniques.

As businesses increasingly rely on data for decision-making, your expertise in Qlik Sense will make you a valuable asset, capable of delivering impactful analytics solutions and empowering organizations to thrive in a data-driven world.

Reference