25 Best + Free Software Testing Courses & Certificates [2025]
- 1. Fundamentals of Graphic Design [Coursera] - Best Free Course
- 2. Single Page Web Applications with AngularJS [Coursera] - Best Free Course
- 3. Introduction to Data Science in Python [Coursera]
- 4. Front-End JavaScript Frameworks: Angular [Coursera]
- 5. Software Testing Management [edX]
- 6. Software Development Fundamentals [edX]
- 7. Software Development Capstone Project [edX]
- 8. Software Construction: Data Abstraction [edX]
- 9. Data Structures and Software Design [edX]
- 10. Formal Software Verification [edX]
As featured on Harvard EDU, Stackify and Inc - CourseDuck identifies and rates the Best Software Testing Courses, Tutorials, Providers and Certifications, based on 12,000+ student reviews, public mentions, recommendations, ratings and polling 5,000+ highly active StackOverFlow members. Learn more
💻 Which Software Testing Course Provider is best for me?
- Udemy and Eduonix are best for practical, low cost and high quality Software Testing courses.
- Coursera, Udacity and EdX are the best providers for a Software Testing certificate, as many come from top Ivy League Universities.
- YouTube is best for free Software Testing crash courses.
- PluralSight, SkillShare and LinkedIn are the best monthly subscription platforms if you want to take multiple Software Testing courses.
- Independent Providers for Software Testing courses & certificates are generally hit or miss.
💼 What is Software Testing used for?
The ultimate purpose of software testing is not to find bugs but to make the product qualitative. As a tester, you are contributing to improvements in product quality. #6) Software Testing is about finding defects in others' work: Critical attitude surely helps when it comes to software testing.
📃 Is a Software Testing Certificate worth it?
Yes and No. Certified Software Testing developers on average make more money. Having a Software Testing certificate greatly increases the chance of landing an interview and can open otherwise closed doors. Coursera, Udacity and EdX offer excellent certificate options for impressing your future employers. Eduonix, Udemy and several other providers offer certificates, but they aren't as reputable. If you have a Computer Science Degree, certificates are not as important. Still, many employers won't care about certificates, but rather your interview skills, experience and/or skills assessment.
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Best Free Course
1 )
Fundamentals of Graphic Design (2015)
5.0
Calarts created this 14-hour course that is run by Coursera. This course is all about the fundamentals of graphic design. It focuses on typography, composition, image making and color and shape. It teaches the base skillset necessary to make full use of graphic design tools like Photoshop.
Pros
Cons
- Course is great as a first-time introduction to the core concepts of graphic design.
- No prerequisites are necessary. This is a good course for exploring whether or not a cursory interest in graphic design could bloom into something more.
- Amazing opportunity for professionals peripherally attached to graphic design to learn more about the field of study.
- This course does not teach intricate software skills. You will not master Photoshop and similar software here.
- Not a practical skills course at all. Focus is almost entirely on design concepts rather than applications of those concepts.
- Course if for people interested in graphic design rather than invested in it.
Best Free Course
2 )
Single Page Web Applications with AngularJS (2018)
5.0
Johns Hopkins University developed this course that is hosted by Coursera. It focuses on low-code instruction for developing AngularJS applications. It teaches students to use existing services. While some code writing is included, the primary purpose is to learn how to get around difficult coding challenges by utilizing resources that are readily available.
Pros
Cons
- Course focuses on efficient development practices and arms students with real-world skills.
- Course does a great job of presenting best practices to accelerate the learning curve.
- Course is surprisingly thorough for such an accessible presentation of information.
- Course was built on an older version of Angular. While the lessons are universal, the interface and subtleties have changed with newer versions.
- Course is thorough but does not delve into advanced concepts. Non-beginners will be underwhelmed.
- Course underrepresents native JS concepts.
3 )
Introduction to Data Science in Python (2016)
4.3
Coursera brings you this resource that was developed by the University of Michigan. It serves as an introduction to Python and applying it to data science. It will teach students how to manipulate data and make use of Pythons robust libraries. It is the first in a five-course series, and it can be completed in roughly 15 hours.
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Overall Score : 88 / 100
4 )
Front-End JavaScript Frameworks: Angular (2017)
4.7
The Hong Kong University of Science and Technology built this course to take a deep look at a specific JavaScript framework. Coursera students will learn how to use Angular in front-end development and applications. With 44 hours of mixed-presentation instruction, this course provides a thorough look into Angular usage. By the end, students will have a strong understanding of the fundamentals of Angular and be able to deploy their skills in Angular front-end development.
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Overall Score : 96 / 100
5 )
Software Testing Management
0.0
Learn how to effectively manage software tests using estimations, defect management, metrics and software quality initiatives.
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Overall Score : 99 / 100
6 )
Software Development Fundamentals
0.0
Learn the fundamentals of object-oriented programming in Java, as well as best practices of modern software development.
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Overall Score : 99 / 100
7 )
Software Development Capstone Project
0.0
Apply all the skills you have learned to work through the challenging and rewarding task of designing a full-stack system.
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Overall Score : 99 / 100
8 )
Software Construction: Data Abstraction
0.0
Learn powerful data abstraction and decomposition techniques to build large, complex programs.
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Overall Score : 99 / 100
9 )
Data Structures and Software Design
0.0
Learn how to select, apply, and analyze the most appropriate data representations in your code and design high quality software that is easy to understand and modify.
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Overall Score : 99 / 100
10 )
Formal Software Verification
0.0
Learn software quality techniques beyond just running test cases.
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Overall Score : 99 / 100
11 )
NFV Acceleration: An Introduction to OPNFV
0.0
Learn how Network Functions Virtualization (NFV) is moving the industry from fixed-function, proprietary devices to flexible, software-driven environments, and how OPNFV (Open Platform for NFV) can help make the transition easier.
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Overall Score : 99 / 100