Course Outline:
Introduction to QlikView:
Overview of QlikView and its applications
Understanding QlikView architecture and components
Installing and setting up QlikView
Navigating the QlikView interface (Desktop, Server, Publisher)
Getting Started with QlikView:
Creating and managing QlikView documents
Data loading and connecting to data sources
Basic data import and export operations
Understanding the QlikView data model (tables, fields, associations)
Data Modeling:
Introduction to QlikView data model concepts
Creating and managing data connections
Using the Data Load Editor to script data loading
Data transformation techniques (joins, concatenations, filters)
Building and Designing Dashboards:
Creating and customizing sheets and objects
Using QlikView’s visualizations (charts, tables, graphs)
Adding and configuring controls (list boxes, sliders, buttons)
Designing interactive and user-friendly dashboards
Advanced Data Analysis:
Using set analysis for advanced filtering
Creating and using calculated fields and measures
Building and applying aggregations and expressions
Implementing advanced data manipulations (pivot tables, conditional formatting)
Scripting and Automation:
Introduction to QlikView scripting language
Writing and debugging scripts for data transformation
Automating data reloads and updates
Using macros for automation and customization
Data Visualization and Reporting:
Designing and customizing charts and graphs
Creating and formatting reports
Using advanced visualization techniques (geo maps, gauges, heat maps)
Exporting reports and dashboards to various formats (PDF, Excel)
QlikView Server and Deployment:
Introduction to QlikView Server and Publisher
Managing and deploying QlikView applications
User access control and security settings
Scheduling and automating report distribution
Best Practices and Optimization:
Best practices for QlikView data modeling and design
Performance tuning and optimization techniques
Troubleshooting common issues
Ensuring data accuracy and consistency
Real-World Applications and Case Studies:
Case studies from different industries (finance, healthcare, retail)
Practical exercises and projects
Application of QlikView skills to solve real-world business problems
Skills Gained:
Proficiency in using QlikView for data analysis and visualization
Ability to create and manage interactive dashboards and reports
Skills in data modeling and transformation
Knowledge of scripting and automation techniques
Competence in deploying and managing QlikView applications
Target Audience:
Business analysts
Data analysts
BI professionals
IT professionals
Students and professionals interested in business intelligence and data visualization
Course Logistics:
Location: Training centers, educational institutions, or online platforms
Duration: Typically ranges from a few days to several weeks, depending on the course depth and schedule
Format: Classroom-based, online, or hybrid