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Quality Assurance Tester

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April 2, 2024 Updated May 20, 2025 19 minute read

A Comprehensive Guide to a Career as a Quality Assurance Tester

A Quality Assurance (QA) Tester plays a pivotal role in the lifecycle of software development, acting as a crucial guardian of product quality. At its core, this career involves meticulously evaluating software, applications, and systems to identify and document any defects, inconsistencies, or areas where the product doesn't meet specified requirements or user expectations. QA Testers strive to ensure that end-users receive a functional, reliable, and intuitive product, thereby protecting a company's reputation and enhancing customer satisfaction.

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Salaries for Quality Assurance Tester

City
Median
New York
$102,000
San Francisco
$126,000
Seattle
$109,000
See all salaries
City
Median
New York
$102,000
San Francisco
$126,000
Seattle
$109,000
Austin
$83,000
Toronto
$68,000
London
£45,000
Paris
€44,000
Berlin
€70,000
Tel Aviv
₪351,000
Singapore
S$60,000
Beijing
¥100,000
Shanghai
¥146,000
Shenzhen
¥195,000
Bengalaru
₹494,000
Delhi
₹300,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Quality Assurance Tester

Take the first step.
We've curated 24 courses to help you on your path to Quality Assurance Tester. Use these to develop your skills, build background knowledge, and put what you learn to practice.
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Reading list

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Offers a comprehensive introduction to the field of Business Process Management (BPM), which is fundamental to understanding workflows. It covers key concepts, methods, and technologies for process analysis, design, implementation, and monitoring. It is widely used as a textbook in academic settings and provides a solid foundation for anyone looking to gain a broad understanding of workflows in a business context.
Is the definitive guide to Git, a widely used version control system that is fundamental to many development workflows. It covers everything from the basics to advanced topics, including different branching workflows. Understanding Git workflows is crucial for anyone involved in software development and collaborative projects.
A practical guide to understanding and modeling business processes. provides proven techniques for identifying, modeling, and redesigning workflows for improvement. It valuable reference for professionals involved in process analysis and system development, offering a methodical approach that goes beyond theoretical concepts.
Provides a practical guide to Business Process Model and Notation (BPMN), a standard for modeling business processes and workflows. It's essential for anyone involved in designing and documenting workflows using a standardized approach.
Focuses on using Apache Airflow, a platform for orchestrating complex data pipelines. It's highly relevant for those working with data workflows that require scheduling, monitoring, and managing dependencies between tasks.
While not solely focused on workflows, this book is essential for understanding the underlying principles of building robust data pipelines and systems, which are critical components of many modern workflows, particularly in data science and engineering. It delves into the challenges of data processing and storage, offering valuable insights for designing efficient and reliable data workflows.
Building on the understanding of Git, this book specifically addresses creating efficient workflows for teams using Git. It focuses on the collaborative aspects of version control and how to optimize team workflows.
Explores the combination of RPA with Artificial Intelligence (AI) to achieve 'intelligent automation' of workflows. It provides a contemporary perspective on the evolution of workflow automation and the role of AI.
Provides a guide to Robotic Process Automation (RPA), a contemporary approach to automating repetitive workflows typically performed by humans. It's relevant for understanding how technology is used to streamline operational workflows.
A business novel that introduces the Theory of Constraints, a methodology for identifying and managing bottlenecks in any process. While set in a manufacturing environment, its lessons on optimizing flow and continuous improvement are highly applicable to understanding and improving workflows in any domain. is considered a classic in operations management and process improvement.
For those interested in data-related workflows, this book provides a practical guide to building data pipelines using Python. It covers essential concepts and techniques for automating data workflows in a programming context.
Covers the basics of if statements in JavaScript, including how to use them to control the flow of your programs. It good resource for beginners who want to learn more about this topic.
Covers the basics of if statements in Python, including how to use them to control the flow of your programs. It good resource for beginners who want to learn more about this topic.
Focuses on workflows within the context of Digital Asset Management (DAM). It covers the process of organizing, managing, and distributing digital assets, which involves specific types of workflows. It's relevant for those interested in media and content workflows.
An in-depth guide to Digital Asset Management, with a strong emphasis on workflows for managing digital media collections. It covers the entire lifecycle of digital assets and the processes involved.
Focuses on user experience design for mobile devices, covering techniques for gathering and using user input in mobile app development.
Is geared towards beginners and focuses on designing applications based on business processes. It helps in understanding how workflows are translated into functional applications, which is relevant for those involved in the technical implementation of workflows.
Highlights the power of checklists in ensuring consistency and avoiding errors in complex processes and workflows. While not strictly about business workflows, it offers valuable insights into improving reliability and efficiency in any task-oriented process.
A popular book on personal productivity, 'GTD' provides a framework for organizing tasks and projects, essentially creating personal workflows for managing commitments and information. While focused on individual productivity, its principles can be applied to understanding and structuring workflows at a larger scale.
This comprehensive book on natural language processing covers techniques for processing and understanding user input text, such as natural language understanding and text analysis.
This textbook on human-computer interaction provides a comprehensive overview of the field, including chapters on user input methods and techniques.
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