Introduction

Qlik Sense is a powerful data visualization and business intelligence tool that enables professionals to analyze data effectively and make data-driven decisions. This training covers the fundamentals of Qlik Sense, including data loading, visualization, and interactive dashboards. Participants will learn how to integrate and analyze data from multiple sources, create compelling visualizations, and use Qlik’s associative model for deeper insights. This course is ideal for business analysts, data professionals, and decision-makers looking to harness the power of Qlik Sense for applied data analytics.

Prerequisites

• Basic understanding of data analysis concepts
• Familiarity with Microsoft Excel or any BI tool (optional)
• Fundamental knowledge of databases and SQL (recommended)

Table of Contents

1. Introduction to Qlik Sense
1.1 Overview of Qlik Sense and its Capabilities
1.2 Understanding the Qlik Associative Model
1.3 Key Features and Advantages of Qlik Sense

2. Data Preparation and Loading
2.1 Connecting to Different Data Sources
2.2 Data Import and Transformation Techniques
2.3 Handling Data Relationships and Associations

3. Data Modeling in Qlik Sense
3.1 Creating Data Models and Data Tables
3.2 Using Qlik’s Data Manager and Data Load Editor
3.3 Optimizing Data Models for Performance

4. Data Visualization and Storytelling
4.1 Creating Interactive Dashboards and Reports
4.2 Best Practices for Effective Data Visualization
4.3 Using Charts, Graphs, and KPI Indicators

5. Advanced Analytics and Expressions
5.1 Using Set Analysis for Comparative Insights
5.2 Implementing Aggregations and Calculations
5.3 Scripting and Advanced Functions in Qlik Sense

6. Data Exploration and Self-Service Analytics
6.1 Interactive Data Exploration Techniques
6.2 Customizing Filters and Drill-Down Analysis(Ref: MATLAB for Finance Applications | Data Analysis | Empirical Data)
6.3 Enabling Self-Service BI for Users

7. Security and Access Control
7.1 Implementing Row-Level Security
7.2 User Roles and Access Management
7.3 Managing Data Governance in Qlik Sense

8. Qlik Sense Integration and Automation
8.1 Integrating Qlik Sense with External Applications
8.2 Automating Reports and Dashboards
8.3 API and Extensions for Custom Solutions

9. Real-World Applications and Case Studies
9.1 Industry-Specific Use Cases for Qlik Sense
9.2 Analyzing Business Performance with Qlik Sense
9.3 Hands-on Project: Building a Complete Analytics Dashboard

Conclusion

Qlik Sense empowers professionals to analyze and visualize data efficiently, enabling better decision-making through interactive dashboards and advanced analytics. By mastering Qlik Sense, participants can enhance their data analysis skills and drive business success with insightful, real-time data exploration.

Reference