What You Need to Know Before
You Start
Starts 8 June 2025 02:51
Ends 8 June 2025
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4 hours 10 minutes
Optional upgrade avallable
Not Specified
Progress at your own speed
Paid Course
Optional upgrade avallable
Overview
Hi, data scientists and business intelligence heroes! Are you tired of building basic charts and tables in Qlik Sense?
If you’re ready to deep-dive into the world of scripting and high-performance mapping and analysis, then this course is for you.
Syllabus
- Introduction to Qlik Sense
- Advanced Data Loading and Scripting
- Data Modeling Techniques
- Advanced Visualization Techniques
- High-Performance Mapping and Geospatial Analysis
- Scripting for Analytics
- Data Connectivity and Integration
- Performance Tuning and Optimization
- Collaborative Analysis and Reporting
- Case Studies and Real-world Applications
- Final Project
Overview of Qlik Sense capabilities
Navigating the Qlik Sense interface
Key features for data science and business intelligence
Understanding the script editor
Loading data from multiple sources
Transforming data with scripts
Creating and using variables
Building data models in Qlik Sense
Handling data associations and keys
Optimizing data models for performance
Creating dynamic dashboards
Using advanced chart types
Designing intuitive user interfaces
Using Qlik Sense mapping capabilities
Integrating third-party mapping tools
Conducting geospatial analysis
Writing script functions for data analysis
Using set analysis for dynamic calculations
Advanced expressions and functions
Connecting to various data sources
Using web connectors and APIs
Real-time data integration
Techniques for faster data loads
Optimizing app performance
Best practices for large datasets
Sharing insights with Qlik Sense applications
Leveraging Qlik Sense cloud capabilities
Data storytelling and presentation
Analyzing real business scenarios
Case studies of successful data projects
End-to-end Qlik Sense application development
Implementing learned techniques in a comprehensive project
Taught by
JP Labuschagne, SuperDataScience Team and Ligency Team
Subjects
Business