Qlik Sense: Master Data Visualization, Analytics, Reporting

Based on the comprehensive course curriculum provided for "Qlik Sense: Master Data Visualization, Analytics, and Reporting," this course is designed to take students from the basics of Qlik Sense to advanced dashboard design and optimization. Here's a breakdown of the key topics and what you can expect to learn in each module:

Module 1 - Introduction

• What is Qlik Sense: Understanding the fundamentals of Qlik Sense and how it differs from other data analysis tools like QlikView.
• Difference and Similarities between QlikView and Qlik Sense: A comparison to highlight the key differences and similarities.
• Qlik Sense Logical Architecture: An overview of the logical components that make up Qlik Sense.
• Qlik Sense Project Architecture: Understanding how projects are structured within Qlik Sense.
• Folder Structure: Learning about the directory structure and organization of a typical Qlik Sense project.

Module 2 - Qlik Sense Components

• Qlik Sense Desktop Hub: An introduction to the user interface for individual use cases.
• Qlik Sense Dev Hub: Understanding the development environment for creating and managing multiple projects and applications simultaneously.
• Qlik Sense Management Console and Services: Learning about the backend management tools that help with deploying, monitoring, and maintaining Qlik Sense services.

Module 3 - Qlik Sense Data Modeling/Architect

This module dives deep into the data handling capabilities of Qlik Sense:

• Introduction to Scripting: Basic scripting concepts in Qlik Sense.
• Different Types of Loads: Understanding various methods of loading data into Qlik Sense.
• Creating QlikView Datafile (QVDs): Learning how to create these files for performance optimization.
• Connecting to Databases and Flat Files: Techniques for integrating different data sources.
• Script Syntax and Data Load: Writing and executing scripts to load data correctly.
• Resolving Synthetic Keys and Circular Loops: Techniques for ensuring data integrity and avoidance of data redundancy.
• Checking Subset Ratio and Information Density: Optimizing the data model for better performance.
• Creating Master Calendar: A practical task aimed at improving data aggregation and reporting capabilities.
• Using Different Types of Script Functions: Exploring various functions to manipulate and analyze data within Qlik Sense.
• Joining or Concatenating Tables: Techniques for merging tables to create comprehensive datasets.
• Creating Mapping Tables: How to map disparate dataset fields for coherent analysis.
• Creating Link Tables: Understanding how link tables facilitate complex data relationships.
• Interval Match Function (Slowly Changing Dimensions): Implementing logic for tracking changes over time in the data.
• Introduction to Set Analysis: Learning set operations for advanced data analytics.
• Creating Advanced Set Analysis Expressions: Crafting complex expressions for nuanced data insights.
• Implementing Section Access: Managing user access and permissions for different sections of the data model.
• Optimizing the Data Model: Best practices for improving data model performance in Qlik Sense applications.

Module 4 - Qlik Sense Dashboard Designing

The final module focuses on turning the data analysis into actionable insights through visualization:

• Building Dashboards: Techniques for creating interactive and informative dashboards.
• Creating Different Types of Charts: Mastery over various chart types to suit different analytical needs.
• Creating Master Items: Establishing common elements that can be reused across different dashboards.
• Creating Bookmarks: Allowing users to save and navigate to specific data views in a dashboard.
• Creating Storytelling Narratives: Developing a narrative around the data to communicate insights effectively.
• Understanding Extensions: How to extend Qlik Sense functionality with custom modules or JavaScript.
• Understanding Visualization Bundle: Using VIZQL to render custom visualizations in Qlik Sense.
• Exporting Application Content: Techniques for sharing or exporting dashboard content for various purposes.
• Publishing Applications to Different Streams: Managing the publication of applications and ensuring they reach the intended audience.
• Understanding QMC Web Portal: Utilizing the management console for monitoring, updating, and deploying applications across a Qlik Sense enterprise deployment.

By completing this course, participants will have a well-rounded understanding of Qlik Sense, from data handling to dashboard design, enabling them to effectively leverage the tool for business intelligence purposes. They will be equipped with the knowledge and skills necessary to create, manage, and optimize interactive, data-driven narratives that provide tangible benefits to organizations.