Qlik View Business Analyst Certification Practice Exam

Qlik View Business Analyst Certification Practice Exam

About the Qlik View Business Analyst Certification Exam

The Qlik View Business Analyst Exam is designed to validate the knowledge and skills required to analyze, visualize, and interpret data using QlikView, a leading Business Intelligence (BI) and data visualization tool. This exam focuses on equipping professionals with the ability to turn data into actionable insights, create interactive dashboards, and facilitate data-driven decision-making. The Qlik View Business Analyst Exam covers essential topics such as data modeling, script writing, dashboard creation, and advanced reporting techniques, making it ideal for individuals who want to excel in the field of business analysis and data visualization.

Who should take the Exam?

This exam is ideal for:

• Business analysts, data analysts, and BI professionals looking to enhance their QlikView skills.
• Data scientists and statisticians interested in mastering data visualization and analysis.
• IT professionals and software developers who want to integrate QlikView into their data workflows.
• Managers and decision-makers seeking to improve their understanding of data-driven strategies.
• Students and graduates pursuing careers in business analysis, data science, and business intelligence.

Skills Required

• Basic understanding of data analysis concepts and techniques.
• Familiarity with QlikView or any other BI tools is beneficial.
• Strong analytical thinking and problem-solving skills.
• Knowledge of data structures, databases, and data modeling.
• Ability to work with large datasets and derive meaningful insights.

Knowledge Gained

By taking the Qlik View Business Analyst Exam, candidates will gain comprehensive knowledge in the following areas:

• Mastery of QlikView features and functionalities for data visualization and reporting.
• Ability to create interactive dashboards and data models that support decision-making.
• Proficiency in scripting and data transformation for comprehensive analysis.
• Knowledge of advanced reporting techniques and data presentation skills.
• Competence in applying best practices for QlikView development and deployment.

Course Outline

The Qlik View Business Analyst Exam covers the following topics - 

Introduction to QlikView and Business Intelligence (BI)

• Overview of QlikView and its role in Business Intelligence.
• Understanding the BI landscape and the importance of data visualization.
• Key features and capabilities of QlikView for business analysts.
• Introduction to the QlikView user interface and key components.

Data Modeling and Data Loading

• Fundamentals of data modeling and its significance in QlikView.
• Loading data from various sources: Excel, SQL, databases, and web files.
• Understanding and managing data relationships and associations.
• Techniques for creating and optimizing QlikView data models.

Scripting and Data Transformation

• Basics of QlikView scripting language and syntax.
• Techniques for data cleansing, filtering, and transformation.
• Using script functions for aggregation, concatenation, and set analysis.
• Advanced scripting concepts: incremental loading, resident loads, and mapping tables.

Creating Interactive Dashboards

• Fundamentals of dashboard design and user experience principles.
• Building interactive QlikView dashboards using charts, graphs, and tables.
• Utilizing sheet objects: list boxes, multi-boxes, buttons, and input boxes.
• Applying color, fonts, and themes for effective data presentation.

Advanced Reporting Techniques

• Advanced data visualization techniques for complex datasets.
• Creating pivot tables, combo charts, and waterfall charts.
• Using calculated dimensions, expressions, and variables for dynamic reports.
• Techniques for handling large datasets and optimizing dashboard performance.

Data Analysis and Interpretation

• Methods for analyzing data trends, patterns, and outliers.
• Applying statistical functions and set analysis for in-depth insights.
• Techniques for predictive analysis and scenario modeling.
• Creating reports that facilitate strategic decision-making.

Security and Data Governance in QlikView

• Best practices for securing QlikView applications and data.
• Role-based access control and section access implementation.
• Data governance policies and compliance in QlikView.
• Auditing and monitoring QlikView applications.

Performance Optimization and Troubleshooting

• Techniques for optimizing QlikView applications for speed and efficiency.
• Identifying and resolving common performance issues.
• Best practices for memory management and data load optimization.
• Troubleshooting errors and issues in QlikView scripting and data models.

Deployment and Collaboration

• Methods for deploying QlikView applications across different environments.
• Collaborative features in QlikView: bookmarks, annotations, and alerts.
• Integrating QlikView with other BI tools and platforms.
• Managing QlikView Server and Publisher for enterprise deployment.