KNIME Analytics Platform for Educators

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KNIME Analytics Platform Workbench

Join a free webinar on September 16 at 1:30 PM UTC +2 (Berlin) for a quick, practical introduction to KNIME Analytics Platform.

Increase the depth and coverage of your data science courses and your students’ skills with a modern data science platform: a tool that’s open source, free, and easy to install and use across operating systems.

As an educator, you have challenges:

  • Exposing your students to a wide variety of modern methods and approaches that they can continue using after they graduate.
  • Wanting more than what your current data analysis tool provides - in terms of both software and written material about leading edge methods - to make it easy to ramp up your courses. 
  • Eliminating the cost and hassles associated with managing software contracts when you need something new.

knime_icons_rz With KNIME, you gain access to:

  • A modern open data science platform with a visual workflow editor that lets your students focus on learning methods rather than learning the tool itself.
  • An extremely wide range of data sources, tools, and techniques - many based on leading open source projects - and all within one platform. 
  • Software that is open source and free. No limitations on number of students, methods, data, or operating systems. And your students can keep it forever with no signup required. 
  • A strong KNIME community, providing support and freely available teaching materials and examples. See what they are doing here.

KNIME: The Software and the Company

At KNIME, we build software for fast, easy and intuitive access to advanced data science, helping organizations drive innovation. For over a decade, a thriving community of data scientists in over 60 countries has been working with our platform on every kind of data: from numbers to images, molecules to humans, signals to complex networks, and simple statistics to big data analytics.

KNIME Spring Summit
KNIME Analytics Platform
Free webinar: September 16, 2020, 1:30 - 2:30 PM UTC +2 (Berlin)
A quick, practical introduction to KNIME Analytics Platform
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