Radical Technologies

QLIKSENSE

Qlik Sense is a modern, user-friendly data visualization and business intelligence (BI) platform that empowers users to explore and analyze data, create interactive dashboards and reports, and make data-driven decisions. Its associative data model, self-service capabilities, and focus on data discovery make it a popular choice among businesses looking to extract insights from their data.

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The Syllabus

Curriculum Designed by Experts

Module 1: Introduction to Qlik Sense
  • Overview of Qlik Sense and its features.
  • Understanding the Qlik associative data model.
  • Qlik Sense architecture and components.
Module 2: Data Preparation and Loading
  • Data sources and data connection options.
  • Data loading and transformation using the Qlik script.
  • Data modeling and schema design.
Module 3: Creating Visualizations
  • Building charts and visualizations.
  • Working with dimensions and measures.
  • Interactive dashboard design.
  • Using expressions and functions.

 

Module 4: Data Analysis and Exploration
  • Exploring data using selections and filtering.
  • Advanced data visualization techniques.
  • Creating drill-down and exploration paths.
Module 5: Data Storytelling
  • Building data stories and presentations.
  • Using storytelling features and best practices.
  • Creating a narrative with data.
Module 6: Data Security and Governance
  • User access control and security settings.
  • Data encryption and authentication.
  • Compliance and governance considerations.
Module 7: Collaboration and Sharing
  • Collaborative data analysis and sharing insights.
  • Publishing and distributing Qlik Sense apps.
  • Integrating Qlik Sense with other applications.

 

Module 8: Advanced Qlik Scripting
  • Advanced scripting techniques.
  • Scripting for data transformation and aggregation.
  • Script optimization and best practices.
Module 9: Qlik Sense Extensions
  • Working with Qlik Sense extensions for custom visualizations.
  • Building and integrating extensions.
Module 10: Performance Optimization
  • Performance monitoring and profiling.
  • Techniques for improving app performance.
  • Scalability considerations.
Module 11: Advanced Data Modeling
  • Advanced data modeling techniques.
  • Synthetic keys and circular references.
  • Hierarchies and advanced data associations.
Module 12: Qlik Sense APIs and Integration
  • Using Qlik Sense APIs for programmatic access.
  • Integrating Qlik Sense with external systems.
Module 13: Qlik Sense Deployment and Administration
  • Installation and configuration of Qlik Sense.
  • Managing user access and licenses.
  • Backup and recovery procedures.
  • Monitoring and maintenance.
Module 14: Best Practices and Optimization
  • Best practices for building efficient and effective Qlik Sense apps.
  • Performance optimization strategies.

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    Live Online Training

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    Installation of Software On your System
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    And Many More Features
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