Scientific Computing with Python Certification

Why You Should Trust Us

How We Tested

Evaluation Criteria

We reviewed this course using the following criteria:

1. Outcomes: The course needs to cover the essentials for someone to start working with Python in a professional capacity or on a professional-grade project. That means covering the right topics and not going beyond the scope of the course objectives.
2. Learning Features: Real skill development happens with fingers on keys, particularly for learners moving from novice level. We looked for courses with more than just videos; exercises and projects were essential.
3. Production Quality: The course should include polished and professional course materials. In 2024, the table stakes of even an average course are professional video production, uniform sound levels and noise-free audio, and course materials that are free of typos. Videos should also be captioned and transcribed.
4. Real World Application: A great course teaches you enough to work on a production application. We looked for examples and best practices from professional experience, not just basic examples of how something works on a toy application.
5. Support and Community: Learning is better together! We promote courses with thriving communities and rapid, helpful support for learners, and tend to rate courses lower if they lack community or if the community isn't valuable.