As machine learning continues to grow at an unprecedented pace, so does the demand for...
Launching Skolar: a new platform for hands-on, structured and certified training in open-source data science.
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Many of you asked for training after we launched the official Scikit-learn Practitioner Certification Program, so at Probabl, we went further. Drawing on our experience with the acclaimed Inria scikit-learn MOOC, we’ve built a hands-on platform that helps you turn theory into practice and validates your skills from foundational concepts to niche, domain-specific techniques.
We know how hard it is to find learning resources that are structured, practical, industry relevant and up to date. Too often, courses are either too theoretical or too scattered to be useful when it matters most.
That’s why we’re introducing Skolar: a free platform built for comprehensive, applied, and open-source data science education.
Whether you’re revisiting core ideas or exploring advanced methods, Skolar is designed to support your growth from learning to certification.
We believe the best training in machine learning is clear, hands-on, and puts you in control of your tools. At Skolar, you really do “own your data science”, because we know that true openness starts through education and lifelong learning.
Skolar sets a new benchmark for structured and approachable learning, consolidating open-source resources, specialized premium pathways, practical tutorials, and clear certification tracks into one convenient platform.
What you get for free with Skolar on day 1: :
- An access through your Skolar account to an engaged, growing community.
- The Scikit-learn Associate Practitioner Online Course, designed specifically to align with the Scikit-learn Associate Practitioner Certification.
- Interactive expert tutorials and livestream replays hosted, delivering skills you can immediately apply.
- Our current learning materials strongly emphasize actionable skills, ensuring relevance in professional contexts.
Looking forward, Skolar’s roadmap includes:
- Advanced training modules targeting Professional and Expert Practitioner certification levels.
- Specialized learning paths covering critical tools in data science, including skrub, fairlearn and hazardous.
- Customized industry-specific courses addressing practical demands in product management, healthcare, finance, medical and beyond.
- Collaborative solutions enabling trainers and businesses to easily incorporate Skolar resources into internal training programs.
- Partnering with other open-source scientific python packages to further expand our library content.
We’re delighted to have France-ioi as one of our first partners on this project. Their open-source LMS enabled us to build Skolar, and we’ll keep co-developing new features with them in an open way.
“France-ioi is a nonprofit organization dedicated to creating open-source tools and learning content that equip young people with skills in programming, algorithmics, artificial intelligence, and related fields. We are excited to partner with Probabl, who contributed significantly to the OFIA (French Olympiad in Artificial Intelligence), and who use our open-source LMS to host their new learning platform: Skolar.” - Mathias Hiron, President of France-ioi
A special thanks to Inria: Skolar’s first courses are built from the scikit-learn MOOC we co-developed with the Soda team, Inria Academy and the Inria Learning Lab team.
Skolar is not just another educational resource; it's an integrated, practical, industry-ready learning environment for data scientists at every career stage. We strive to empower the evolving field of data science.
Join Skolar today, and start owning your data science.