Course Overview
About Course
This 40‑hour Qlik Sense training equips learners with a full lifecycle of skills — from data ingestion to app deployment, visualization, and governance. Starting with installation and architecture, participants build essential fluency in connecting and loading data from diverse sources using the Data Manager and script editor. They then master data modeling techniques, construct star and snowflake schemas, and streamline data reloads with QVD best practices.
Progressing into analytics, attendees define variables, craft set analysis expressions, and build both basic and advanced visualizations. Interactivity is emphasized through bookmarks, selections, and story-driven dashboards. The course also explores governance and security deeply, teaching role-based access and section access for row-level data control.
For operational excellence, server-side scripting, reload scheduling, logging, and performance tuning are covered. Deployment modules guide participants on publishing apps, managing enterprise lifecycles, and scaling systems on Qlik Cloud and enterprise platforms. A capstone project consolidates learning with a real-world analytics application, and certification prep aligns with Qlik’s Business Analyst, Data Architect, and System Administrator credentials.
Supported by expert instruction, practical labs, real-world use cases, and post-course resources, graduates emerge ready to deliver robust, secure, and high-performing Qlik Sense solutions in enterprise environments.
Course Syllabus
Module 1: Introduction & Installation (4 hrs)
- Qlik Sense overview, architecture, editions (Desktop, Enterprise, Cloud)
- Installation, licensing, and interface navigation
Module 2: Data Connection & Load Editor (6 hrs)
- Connect to sources (Excel, CSV, SQL, REST), load data via the Data Manager and script editor
- Introduction to data profiling, scripting, and data model viewer
Module 3: Data Modeling & Transformation (6 hrs)
- Build star/snowflake schemas, resolve synthetic keys, create QVD layers
- Use joins, concatenation, mapping tables, incremental reloads with best practices
Module 4: Expressions, Variables & Set Analysis (4 hrs)
- Use expressions, functions, and variables
- Master set analysis and advanced calculation techniques
Module 5: Core Visuals & Interactivity (6 hrs)
- Create charts (bar, pie, scatter, gauge), tables, maps, and KPI objects
- Implement filters, bookmarks, selections, and inter-object actions
Module 6: Advanced Visualizations & Storytelling (4 hrs)
- Advanced layers: geospatial mapping, custom visuals, and mashups
- Build stories and data narratives using sheet navigation
Module 7: Security, Governance & Section Access (4 hrs)
- User and role management, rule-based security
- Implement section access for row-level control
Module 8: Scripting and Server Architecture (4 hrs)
- Scaling with server components: Qlik Sense Hub, QES, QSM
- Script automation, reload scheduling, logging, and performance tuning
Module 9: Deployment & Administration (4 hrs)
- App publishing, governance workflows, lifecycle management
- Use Qlik Sense Cloud and enterprise deployment best practices
Module 10: Capstone Project & Certification Prep (2 hrs)
- Build an end-to-end analytics app: model, visualize, secure, deploy
- Align with Qlik Business Analyst, Data Architect & System Admin qualifications
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Key Features
70%+ hands-on labs: script authoring, modeling, advanced visualization, and security
Real-world projects: sales analysis, geospatial insights, governance workflow
Expert-led mentoring: live reviews, Q&A, peer feedback
Qlik ecosystem tools: Desktop, Hub, Cloud, Data Manager, QVD, APIs
Performance tuning: reload optimization, data compression, server scaling
Governance focus: rule-based security, lifecycle management, section access
Certification alignment: paths for Business Analyst, Developer, Administrator roles
Post-course resources: session recordings, sample apps, scripts, and forum access



