Embark on an exciting journey to Python mastery with our comprehensive "100 Days of Python" course. Whether you're a complete beginner or looking to sharpen your coding skills, this course is designed to transform you into a proficient Python programmer in just over three months.

Need help with the 10-20% you might still need to get over the 75% finish line? Look no further!
Kursus til det obligatoriske fag Database på akademiuddannelsen.Kurset brugere jeg til min undervisning på Cphbusiness, men det kan også bruges som selvstudie
This course covers the basics of creating documentation and tutorials that can maximize the usability of informatics tools.

Migrate Your Genomic Analysis Workflows to the Cloud! Image credit: Enis Afgan
The Freelancers Guide to Android Studio in Kotlin. My job is to teach you not only how to code but how to keep up! Giving insight to various tools, trends, professional networks, program opportunities to prove talent and marketability get your resume up to, "Let's interview this kid to hire."
This course covers how to use GitHub actions for scientific software development. We encourage the recognition that scientific software can take many forms that can all benefit from the concepts of continuous integration and continuous deployment.

Level up your development skills and discover how to write code faster with less effort. This hands-on course is tailored for developers ready to master IntelliJ IDEA, with practical lessons and real-world scenarios to help you apply the lessons in the real world.
Learn Proven Strategies to earn online!! From freelancing and affiliate marketing to e-commerce and passive income streams. No fluff, just actionable steps to build your income from anywhere. Start today and take control of your financial future!
This course is meant to equip learners with reproducibility skills they can apply to their existing analyses scripts and projects. This course opts for an “ease into it” approach. We attempt to give learners doable, incremental steps to increase the reproducibility of their analyses.