Course Overview
About Course
This 40-hour QlikView training empowers professionals to master end-to-end data analytics and dashboard development using one of the pioneering BI platforms. Beginning with core BI and QlikView architecture fundamentals, learners progress through essential data warehousing concepts, deepen their scripting expertise with LOAD statements, joins, variables, and table transformations, and learn data modeling techniques to resolve concerns like circular references and synthetic keys.
Modules on visualizations help learners build interactive components—from list and table boxes to charts and pivot tables—culminating in robust dashboard design featuring navigation, interactivity, and layout best practices. Advanced scripting covers incremental data loads, mapping tables, and security through section access. Participants also gain practical experience working with server-side capabilities: reload scheduling, log analysis, and performance tuning for scalable deployments.
Hands-on labs form the heart of the program, delivering 70%+ practical experience. Real-world mini-projects, such as sales or loan analytics dashboards, allow users to apply techniques end-to-end. Sessions are supported by expert mentorship, peer reviews, detailed scripts, and sample applications. The final capstone and certification prep round out the program, enabling learners to confidently pursue QlikView Developer or Admin roles and demonstrate job-ready proficiency in delivering compelling, high-performance BI solutions.
Course Syllabus
Module 1: Introduction & BI Concepts (4 hrs)
- Overview of BI: importance, trends, and competitive landscape.
- QlikView basics: architecture, installation (QVW/QVS/QVD), workspace navigation.
Module 2: Data Warehousing & Scripting (6 hrs)
- Fundamentals: OLTP vs OLAP, star/snowflake schemas.
- Practical scripting: LOAD statements, variables (SET/LET), inline loads, joins, concatenation, and resident scripts.
Module 3: Data Modeling & Optimization (4 hrs)
- Design data models, resolve circular references/synthetic keys, use qualify/unqualify, link tables, master calendar.
Module 4: Data Transformation & Incremental Loads (4 hrs)
- Applying transformations: mapping, pivot/cross tables, rotating, incremental QVD refresh, section access for security.
Module 5: Visualization – Charts & Sheets (6 hrs)
- Creating list boxes, multi/statistics/table boxes.
- Design charts: bar, pie, scatter, plus pivot/straight tables.
Module 6: Advanced Objects & Interactivity (4 hrs)
- Buttons, text, slider controls, bookmarks, current selections, and user interaction components.
Module 7: Dashboard Design & UX (4 hrs)
- Sheet layout, container use, navigation design and inter-component communication for effective dashboards.
Module 8: Document Management & Reload Automation (4 hrs)
- Document settings, user preferences, reload scheduling, incremental vs full reload strategies.
Module 9: Advanced Scripting & Security (4 hrs)
- Data associations, semantic link configuration, number formatting, access control with section access.
Module 10: Deployment, Server & Performance Tuning (4 hrs)
- QVS server overview, log analysis, reload troubleshooting, and performance optimization techniques.
Module 11: Capstone Projects & Certification Review (2 hrs)
- Mini real-world projects (e.g., sales or loan analytics dashboards), peer presentation, plus exam prep guidance.
-
Key Features
70%+ hands-on labs: real-time scripting, modeling, and dashboard creation.
Live instructor mentoring during projects and reviews.
Toolset deployment: QlikView Desktop, QVS Server, QVDs, section security.
Real-world use cases: transform sales or financial data into actionable dashboards.
Performance tuning labs: optimize script loads, chart rendering, and server performance.
Resource bundle: slides, sample QVWs, scripts, lab guides, community forum.
Certification path support: aligned with QlikView Developer and Administrator tracks.



