AUSTIN, Texas--(BUSINESS WIRE)--KNIME, the open-source data analytics and AI company, has announced a partnership with DataCamp, the leading online learning platform for data science and AI education. Through this collaboration, KNIME and DataCamp aim to provide access to high-quality and easy-to-use learning resources, empowering millions of individuals and organizations to upskill in data science, analytics, and AI.
This partnership combines KNIME’s intuitive visual workflows with DataCamp’s comprehensive learning platform, enabling learners to onboard quickly and bridge the gap between theoretical knowledge and hands-on application. The collaboration reflects both companies’ commitment to democratizing data science and making it easier than ever for users to gain practical skills, driving faster insights and innovation in data-driven fields.
“By partnering with KNIME, we’re furthering our mission to democratize analytics and AI education for our community of over 14 million learners and 5,000 organizations,” said Jonathan Cornelissen, co-founder and CEO of DataCamp. “Through this collaboration, we’re integrating KNIME’s powerful visual workflows with DataCamp’s unique learning experience, enabling users to gain insights faster and more effectively. We’re excited about the opportunities this partnership will unlock for the future of data and AI education."
KNIME’s platform is widely known for its complete workflow approach for data analytics, which removes barriers for users at all skill levels. DataCamp offers cutting-edge courses and learning paths in data science, machine learning, and analytics, making it easier for learners to upskill quickly in a rapidly evolving field. Together, the companies provide an end-to-end learning experience, allowing users to acquire knowledge on DataCamp and apply it immediately using KNIME’s tools.
“This collaboration brings us closer to our goal of empowering everybody to make sense of data and AI - which is increasingly important now that tools enable data workers to collaborate closely with AI assistants,” said Michael Berthold, co-founder and CEO of KNIME. “By combining the strengths of KNIME workflows and the DataCamp platform, we’re empowering beginners and experienced data workers with the skills they need to harness the full potential out of their data.”
This partnership introduces a KNIME Fundamentals Track that prepares learners for the L1 KNIME Certification. This track is the first of many, with curated content offerings that integrate KNIME’s workflow-based approach with DataCamp’s interactive courses planned for the future. The track includes the following courses:
- Introduction to KNIME
- Data Transformation in KNIME
- Data Manipulation in KNIME
- Data Visualization in KNIME
Learners will benefit from a hands-on approach, where they can transition from theory to practice seamlessly, mastering essential skills faster and with more clarity.
To learn more about the KNIME and DataCamp partnership, visit KNIME and DataCamp.
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About KNIME:
KNIME makes working with data and AI accessible, intuitive, and transparent for everyone.
The free and open-source KNIME Analytics Platform is a visual workflow tool that allows users from all backgrounds—business, technical, or data-focused—to explore, analyze, and design data solutions of any complexity from spreadsheet automation to advanced machine learning to AI-augmented analytics work with intuitive visual workflows.
KNIME’s commercial products include the KNIME Team Plan, a cloud-based SaaS offering that supports teams who want to collaborate on and automate data work in the cloud. And KNIME Business Hub, the enterprise software that offers advanced capabilities for automation, collaboration, and data and model governance – allowing organizations to drive up AI innovation while driving down any associated risk and ensuring scalable and responsible management of data and AI projects across organizations.
Together, KNIME’s products support the complete data science lifecycle, allowing teams at all levels of analytics readiness to build a scalable data science and AI practice.
