diff --git a/_posts/2025-06-30-probabl-skolar.md b/_posts/2025-06-30-probabl-skolar.md new file mode 100644 index 0000000..8854da1 --- /dev/null +++ b/_posts/2025-06-30-probabl-skolar.md @@ -0,0 +1,93 @@ +--- +#### Blog Post Template #### + +#### Post Information #### +title: "Skolar: an open-source initiative to democratize open data science" +date: June 30, 2025 + +#### Post Category and Tags #### +# Format in titlecase without dashes (Ex. "Open Source" instead of "open-source") +categories: + - Updates +tags: + - Sponsor + - Open Source + - Machine Learning + +#### Featured Image #### +featured-image: BSD_watermark.svg + +#### Author Info #### +# Can accomodate multiple authors +# Add SQUARE Author Image to /assets/images/author_images/ folder +postauthors: + - name: Skolar + website: https://skolar.probabl.ai/ + image: "skolar-logo.png" + - name: Pénélope Gittos + website: https://www.linkedin.com/in/gittospenelope-data-analyst-growth-bilingual/ + image: "penelope_gittos.jpeg" +--- +
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+ +*This blog post has been submitted by Probabl, a sponsor of scikit-learn.* +The scikit-learn project always puts efforts on education to build and nurture a +strong vibrant open-source community. The goal is straightforward: give +everyone, everywhere, the tools they need to easily grasp, engage with, and +meaningfully contribute to data science using open-source software. This mission +is shared and actively supported by [Probabl](https://probabl.ai/), a company +that helps maintain scikit-learn by employing many of its core contributors and +investing in its long-term sustainability. With their support and a deep +commitment from the community, we continue building bridges between research, +software, and education. + +When the [Inria scikit-learn MOOC](https://inria.github.io/scikit-learn-mooc/) +(Massive Open Online Course) first went live, our community got a front-row seat +to the amazing impact of practical, accessible and open learning. Created by +several core developers and maintainers of scikit-learn—now working at +Probabl—the MOOC has reached over 40,000 learners worldwide, clearly +highlighting the demand for organized, hands-on resources that blend theory with +real-world practice. + +Today, Probabl is excited to introduce +[Skolar](https://app.arcade.software/share/vCN6ik9dR22zD35XP5a7), a new, fully +open-source educational initiative, built directly from your feedback and all +the lessons we've learned along the way. Developed and extended by those same +core developers of scikit-learn, Skolar is designed specifically for data +science practitioners, offering hands-on, high-quality learning resources +grounded in real-world applications and open-source values. + +Skolar exists to boost our shared values: openness, teamwork, and practicality. +It offers clear, interactive tutorials and structured courses carefully designed +to match industry challenges and specialized use-cases. But even more +importantly, it captures the true spirit of open source: encouraging +collaboration, peer-to-peer learning, and guidance from experts. + +Right now, we’re just at the beginning. Today, you can dive into our +Scikit-learn Associate Practitioner online course, adapted from the popular +Inria MOOC but enhanced with new material on unsupervised learning, especially +clustering. + +The next stages, professional and expert levels, will launch soon. We’ll also +add more courses covering other open-source libraries such as skrub (for data +wrangling), hazardous (for survival analysis), and fairlearn (for fairness). +Additionally, our scikit-learn team is planning to create industry-specific +modules tackling real-world needs in fields like healthcare, finance, medicine, +and beyond. + +At its core, Skolar is about empowering people through education, driven +entirely by our passion for openness and collaboration. We firmly believe that +true open data science begins with community-built learning resources. We warmly +welcome you, whether you're a contributor, learner, teacher, or just someone +curious, to join us. Help shape Skolar’s future and support open-source +education in data science. + +Create your account on Skolar today: https://skolar.probabl.ai + +Contribute to the [scikit-learn course +contents](https://github.com/probabl-ai/scikit-learn-course), or contribute to +the learning platform's [backend](https://github.com/France-ioi/AlgoreaBackend) +or [frontend](https://github.com/France-ioi/AlgoreaFrontend). diff --git a/assets/images/author_images/penelope_gittos.jpeg b/assets/images/author_images/penelope_gittos.jpeg new file mode 100644 index 0000000..a602079 Binary files /dev/null and b/assets/images/author_images/penelope_gittos.jpeg differ diff --git a/assets/images/author_images/skolar-logo.png b/assets/images/author_images/skolar-logo.png new file mode 100644 index 0000000..c587708 Binary files /dev/null and b/assets/images/author_images/skolar-logo.png differ