Global Certificate in Data-Driven QA Transformation

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The Global Certificate in Data-Driven QA Transformation is a comprehensive course designed to equip learners with essential skills for career advancement in the rapidly evolving field of Quality Assurance (QA). This course emphasizes the importance of data-driven decision-making in QA, a critical skill in today's tech-driven world.

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With the increasing demand for data-driven QA professionals, this course offers a unique opportunity for learners to stay ahead of the curve. It provides hands-on experience with the latest tools and techniques, enabling learners to optimize QA processes, improve product quality, and drive business success. By the end of this course, learners will have developed a deep understanding of data-driven QA strategies and will be able to apply these skills in real-world scenarios. They will be equipped with the skills to lead QA transformations, making them highly valuable to employers in any industry. Enroll today and take the first step towards a rewarding career in data-driven QA transformation!

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Data Analysis for QA: Understanding Data, Data Collection, Data Cleaning, Data Visualization
Test Automation Frameworks: Basics of Test Automation, Framework Design, Framework Implementation
Data-Driven Testing: Data Preparation, Test Case Design, Test Execution
Continuous Integration and Delivery: CI/CD Pipeline, Test Automation Integration, Continuous Monitoring
Behavior-Driven Development: BDD Principles, Gherkin Language, BDD Tools
Performance Testing: Load Testing, Stress Testing, Performance Analysis
Security Testing: Security Principles, Security Testing Methodologies, Tools and Techniques
Machine Learning for QA: ML Basics, ML Applications in QA, ML Tools for Testing

Note: The above list of units is not exhaustive and can be modified or expanded based on the specific needs of the certification program.

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This section features a 3D pie chart that showcases the job market trends for professionals in the UK's data-driven QA transformation industry. The chart data highlights the percentage of professionals in various roles, including data engineers, data analysts, data scientists, QA engineers, and QA testers. With a transparent background, this responsive and engaging chart uses primary keywords and provides valuable insights into industry relevance. By utilizing Google Charts and the provided HTML and JavaScript code, the chart is rendered within a
element with the ID "chart_div". The Google Charts library is loaded using the script tag, and the data, options, and rendering logic are defined within the
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