What will you learn in QlikView Certification Training Course
Navigate the QlikView interface and understand BI concepts.
Design and optimize data models using Qlik’s associative engine.
Write load scripts to extract, transform, and load data from multiple sources.
Create interactive charts, tables, and dashboards for dynamic data exploration.
Program Overview
Module 1: Introduction to QlikView & BI Concepts
⏳ 1.5 hours
Topics: BI fundamentals, QlikView architecture, workbook overview.
Hands-on: Install QlikView Desktop and explore a sample dashboard.
Module 2: Data Modeling & Associative Engine
⏳ 2.5 hours
Topics: Associative data model, synthetic keys, star schema vs. snowflake.
Hands-on: Build a sample data model and resolve synthetic key issues.
Module 3: Scripting & Data Loading
⏳ 3 hours
Topics: Load script syntax, data sources (Excel, SQL, CSV), incremental load.
Hands-on: Write scripts to load and transform data from multiple tables.
Module 4: Charts, Objects & Layout
⏳ 3 hours
Topics: Bar, line, pie charts, list boxes, pivot tables, container objects.
Hands-on: Develop an interactive sales dashboard with multiple visuals.\
Module 5: Set Analysis & Advanced Expressions
⏳ 2 hours
Topics: Set Analysis syntax, aggregation functions, variables.
Hands-on: Create comparative metrics and dynamic KPIs using Set Analysis.
Module 6: Advanced Features: Macros, Triggers & Actions
⏳ 2 hours
Topics: Automating tasks with macros, sheet triggers, button actions.
Hands-on: Add buttons to reload data and trigger report exports.
Module 7: QlikView Server & Governance
⏳ 2.5 hours
Topics: Server architecture, tasks, security rules, user access.
Hands-on: Publish a document to QlikView Server and configure reload tasks.
Module 8: Capstone Project – End-to-End BI App
⏳ 3 hours
Topics: Combine data modeling, scripting, and visualization into a cohesive app.
Hands-on: Deliver a fully functional QlikView application with reload schedule.
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Job Outlook
QlikView developers and BI analysts are in demand across finance, healthcare, retail, and manufacturing.
Salaries typically range from $75K–$110K USD, with higher pay for server-admin roles.
Skills translate into roles like BI Developer, Data Analytics Consultant, and QlikView Architect.
Familiarity with QlikView boosts prospects in data-driven enterprises and consulting firms.
Specification: QlikView Certification Training Course
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FAQs
- No prior BI experience is required; beginners can start comfortably.
- Familiarity with Excel or SQL is helpful but optional.
- The course introduces QlikView interface, data modeling, and dashboards from scratch.
- Hands-on labs guide learners step by step.
- Prior analytics knowledge can help in understanding business metrics faster.
- Yes, it covers data loading, modeling, visualization, and server deployment.
- Hands-on capstone project simulates a real-world BI application.
- You’ll learn to create dashboards with charts, KPIs, and set analysis.
- Includes practical scripting and data transformation exercises.
- Skills apply to finance, healthcare, retail, and manufacturing domains.
- QlikView focuses on guided analytics and pre-built dashboards.
- Qlik Sense emphasizes self-service and responsive visualizations.
- This course mainly teaches QlikView; Qlik Sense knowledge is not covered in detail.
- Concepts like data modeling, ETL, and scripting are transferable.
- QlikView skills remain relevant for enterprise BI projects.
- Includes QlikView Server architecture, task scheduling, and user access rules.
- Hands-on exercises include publishing documents and configuring reload tasks.
- Covers governance essentials for secure and scalable BI applications.
- Focus is beginner to intermediate level; advanced enterprise tuning is not included.
- Provides a foundation for QlikView admin roles or BI management.
- BI Developer or QlikView Developer positions.
- Data Analytics Consultant roles in enterprises.
- QlikView Architect for end-to-end BI solutions.
- Roles in finance, healthcare, retail, and manufacturing sectors.
- Skills strengthen portfolios for consulting or data-driven projects.
