Python for Testing Track
Python for Testing 101 (PT101)
Understand the fundamentals of software testing, learn how different testing techniques fit into the development process, and prepare for the PCET™ – Certified Entry-Level Tester with Python certification.
Course Details
Beginner +
4-5 Weeks
English
Free (Core) & Paid ( Pro)
5750+ people already enrolled
Core
4 modules
40+ lessons
hands-on labs,
interactive exercises,
real-life data analysis scenarios, quizzes, and tests,
a Diploma of Course Completion,
a 20% discount code for the PCET™ certification exam.
Free
Sign Up For FreePro
4 modules
40+ lessons
hands-on labs,
interactive exercises,
real-life data analysis scenarios, quizzes, and tests,
a Diploma of Course Completion,
a 20% discount code for the PCET™ certification exam.
$49
Get Pro AccessAbout the course
This course introduces the core concepts of software testing, covering key testing methods, testing levels, and software quality best practices. You’ll learn how testing helps identify defects, improve reliability, and manage software releases effectively. The course explores manual and automated testing, different testing techniques, and how to structure testing efforts for better results.
The course covers topics such as error handling, debugging techniques, software testing levels (unit, integration, system, and acceptance), test documentation, and test coverage. You’ll also learn about industry best practices like the test pyramid, the DRY and KISS principles, and refactoring techniques to improve code quality. Additionally, the course introduces concepts from the ISTQB® methodology, including the 7 testing principles, test case design techniques, and the structured approach to testing in different software development models.
By completing this course, you’ll build a strong foundation in software testing and be prepared for the PCET™ – Certified Entry-Level Tester with Python certification.
This course is structured to help you learn both conceptually and practically. As you move through the modules, you will build knowledge, apply it in hands-on activities, and check your understanding along the way. Here’s what you can expect:
- Modules – the course is divided into four structured modules, each focused on a major stage of the data analytics workflow.
- Lessons – each module contains focused, step-by-step lessons that introduce concepts in a clear and beginner-friendly way.
- Interactive Features – in the premium version, lessons include quizzes, coding tasks, and practice activities to help you apply what you learn.
- Module Projects – at the end of each module, you will complete a practical project based on realistic data scenarios.
- Module Tests – each module ends with a test that helps you assess your understanding before moving on.
- Final Assessment – at the end of the course, you will complete a final assessment that brings together the most important skills and concepts from the full course.
Python for Testing 101 (PT101) is designed for learners who want to build a solid foundation in software testing. It is particularly suited for:
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Aspiring programmers and beginners in software testing who want to learn the basics of testing and software quality assurance for personal or professional growth.
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Learners preparing for entry-level roles in software testing or quality assurance, such as software tester, QA engineer, or test analyst.
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Industry professionals familiar with other programming languages and tools who want to understand software testing principles and how Python can be used for testing purposes.
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Aspiring programmers and professionals looking to expand their skills in software testing, test automation, security, and software quality assurance as part of their career development.
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Team leaders, product managers, and project managers who want to understand software testing processes to improve collaboration with development and QA teams.
Prerequisites
This course is designed for learners who:
- Have a basic understanding of Python programming concepts.
- Can write and debug simple Python programs.
- Want to build a strong foundation in software testing principles and methodologies.
- Aim to improve their ability to analyze software quality and reliability.
No prior knowledge of object-oriented programming (OOP) is required. This course is designed as a smooth transition from Python Essentials 1 to software testing, making it accessible for learners with basic Python experience.
Associated Certification
Prior Experience Recommended:
Entry
PCET-30-0x
Certified Entry-Level Tester with Python
Associate
PCAT-31-0x
Certified Associate Tester with Python
Course Overview
Here’s an overview of the course structure:
Understanding the purpose of testing, key terminology (errors, defects, failures), testing principles, and the role of testing in the software development lifecycle.
Exploring testing types and levels, the test pyramid, unit and integration testing, test doubles, and the overall testing process and documentation.
Working with static vs. dynamic testing, improving code quality using PEP 8 and linters, understanding test coverage, and applying refactoring principles.
Using debugging tools, writing assertions in Python, logging results, and applying white-box, black-box, and experience-based testing techniques.
Go Pro for Hands-on Practice & Course Diploma
The Pro version of the course includes a Diploma of Course Completion and gives you access to 40+ hands-on labs, interactive exercises, and quizzes designed to reinforce your learning and help you apply concepts in real-world scenarios. It also supports your preparation for the PCET™ certification exam by providing practical experience aligned with exam objectives.
Get Pro Access