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KNIME for teaching

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KNIME Analytics Platform is the visual tool for data science and analytics used in many educational institutions because:

  • The intuitive interface makes learning data science easier (not just for beginners) The intuitive interface makes learning data science easier (not just for beginners) 
  • It’s completely free to use, with no limitations or strings attachedIt’s completely free to use, with no limitations or strings attached
  • The active user community allows for collaboration, learning, and the sharing of ideasThe active user community allows for collaboration, learning, and the sharing of ideas

More success stories

Why educators choose KNIME

Easy onboarding

Easy onboarding

  • Intuitive interface uses visual functionality to build data science solutions, making the tool easy to use for beginners and easy to teach and learn as well.
  • No upfront cost when downloading, no trial periods, and no artificial limitations. 
  • All educators, researchers, and practitioners use the same fully functional version for learning, teaching, and consulting. 
  • Easy to install and runs on all operating systems. 
Teaching support

Teaching support

  • Versatile in terms of what you can teach, including but not limited to, data science, business analytics, digital marketing, controlling, and engineering.
    • Visit the KNIME Community Hub to explore pre-built data science solutions for these use cases (and many more). 
  • Encourages the development of analytical skills that will help students obtain jobs in data science and related fields.

Active community

Active community

  • Students and teachers can search and learn from pre-built workflows (via KNIME Community Hub) and access the KNIME Forum, where community members are active and questions can be asked and answered.
  • A rich collection of data science functions and techniques to help teach basic data prep tasks and more advanced work like model building.
  • Allows for the creation of reusable analytics models at varying levels of granularity (nodes, workflows, components, etc.) for collaboration efforts and the sharing of work and knowledge.

Further Resources