Qlik Sense for Business Intelligence

Introduction:

In today's data-driven world, effective business intelligence (BI) is crucial for organizations seeking to make informed decisions. Qlik Sense is a powerful self-service data analytics platform that enables users to visualize, analyze, and share data insights effortlessly. This course is designed to provide participants with a comprehensive understanding of Qlik Sense and its capabilities in transforming raw data into meaningful business insights. Through hands-on training, participants will learn how to create interactive dashboards, perform data analysis, and leverage Qlik's associative data model for better decision-making. Whether you're a business analyst, data professional, or executive, this course will empower you to harness the full potential of Qlik Sense for your organization.

Course Objective:

By the end of this course, participants will:

• Understand the core concepts of business intelligence and the role of Qlik Sense.

• Navigate the Qlik Sense interface and its key features.

• Create and customize interactive dashboards and reports.

• Utilize data visualization techniques to communicate insights effectively.

• Perform advanced data analysis using Qlik Sense scripting and expressions.

Course Outline:

Module 1: Introduction to Business Intelligence and Qlik Sense

• Understanding Business Intelligence (BI) concepts.

• Overview of Qlik Sense and its architecture.

• Importance of data visualization in decision-making.

• Hands-on: Setting up the Qlik Sense environment.

Module 2: Navigating Qlik Sense

• Exploring the Qlik Sense interface: dashboards, sheets, and stories.

• Understanding data loading and data modeling in Qlik Sense.

• Using the data manager to prepare data for analysis.

• Hands-on: Navigating the Qlik Sense environment and loading sample data.

Module 3: Data Visualization Fundamentals

• Principles of effective data visualization.

• Understanding Qlik's associative model and its benefits.

• Creating basic visualizations: charts, graphs, and tables.

• Hands-on: Building basic visualizations in Qlik Sense.

Module 4: Advanced Visualization Techniques

• Creating advanced visualizations: combo charts, scatter plots, and heat maps.

• Utilizing custom visualizations and extensions.

• Applying filters and selections for interactive analysis.

• Hands-on: Designing advanced visualizations for specific use cases.

Module 5: Creating Interactive Dashboards

• Principles of dashboard design and layout.

• Incorporating filters, bookmarks, and variables for user interaction.

• Using storytelling features to present data insights.

• Hands-on: Building an interactive dashboard from scratch.

Module 6: Data Analysis and Scripting

• Introduction to Qlik Sense scripting language.

• Writing load scripts for data transformation and preparation.

• Utilizing set analysis and aggregation functions for advanced calculations.

• Hands-on: Creating scripts for data analysis.

Module 7: Data Governance and Security

• Understanding data governance in Qlik Sense.

• Implementing user roles and data security measures.

• Managing data connections and data lineage.

• Hands-on: Setting up security measures for dashboards.

Module 8: Sharing and Collaborating with Qlik Sense

• Exploring collaboration features in Qlik Sense.

• Publishing and sharing apps and dashboards.

• Integrating Qlik Sense with other BI tools and data sources.

• Hands-on: Sharing insights and collaborating with team members.

Module 9: Performance Optimization and Best Practices

• Understanding performance tuning in Qlik Sense.

• Best practices for data modeling and visualization.

• Troubleshooting common issues in Qlik Sense applications.

• Hands-on: Optimizing performance of a Qlik Sense app.

Module 10: Capstone Project and Course Review

• Recap of key concepts and techniques covered in the course.

• Capstone project: Participants will develop a comprehensive BI solution using Qlik Sense, applying skills learned throughout the course.

• Presentation and feedback session on capstone projects.

Course Duration:

40 hours of instructor-led or self-paced learning.

Target Audience:

Business analysts, data professionals, executives, and anyone interested in leveraging Qlik Sense for business intelligence and data analytics.