Teaching Data Science with Visual Workflows
Agenda Europe/Asia
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Visual workflows for data science education |
10:00 - 10:15 AM (UTC +1) |
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Dominique Genoud (HES-SO Valais-Wallis) |
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5 Steps for Using KNIME in an ML Course |
10:15 - 10:30 AM (UTC +1) |
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Rosaria Silipo (KNIME) |
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Community resources for educators |
10:30 - 10:40 AM (UTC +1) |
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Stefan Helfrich (KNIME) |
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Questions and answers |
10:40 - 10:50 AM (UTC +1) |
Agenda Americas
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Visual workflows for data science education |
2:00 - 2:15 PM (UTC -6) |
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Natasha Balac (Interdisciplinary Center for Data Science, UCSD) |
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5 Steps for Using KNIME in an ML Course |
2:15 - 2:30 PM (UTC -6) |
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Satoru Hayasaka (KNIME) |
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Community resources for educators |
2:30 - 2:40 PM (UTC -6) |
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Stefan Helfrich (KNIME) |
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Questions and answers |
2:40 - 2:50 PM (UTC -6) |
As an educator, you have challenges:
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Exposing your students to a wide variety of modern methods and approaches that they can continue using after they graduate.
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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.
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To trade between syntactic complexities of code-based tools and in-depth coverage of the analytics knowledge (concepts, theories, and best practices).
With KNIME, you gain access to:
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A modern open data science platform with a visual workflow editor that lets your students focus on learning the concepts and methods.
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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.
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An extremely wide range of data access and processing functions, modeling tools, and techniques - many based on leading open-source projects - and all within one platform.
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A strong and active community, providing support and freely available teaching materials and examples. See what they are doing here.
KNIME Analytics Platform
KNIME Analytics Platform is the open source software for creating data science. Intuitive, open, and continuously integrating new developments, KNIME makes understanding data and designing data science workflows and reusable components accessible to everyone.
