Teaching Data Science with Visual Workflows

KNIME Analytics Platform Workbench
A modern, open data science platform with a visual workflow editor lets your students focus on learning concepts and methods (i.e., best practices) rather than learning the syntactic nature of a tool.

Agenda Europe/Asia

Visual workflows for data science education

10:00 - 10:15 AM (UTC +1)

Dominique Genoud (HES-SO Valais-Wallis)

5 Steps for Using KNIME in an ML Course

10:15 - 10:30 AM (UTC +1)

Rosaria Silipo (KNIME)

Community resources for educators

10:30 - 10:40 AM (UTC +1)

‪Stefan Helfrich (KNIME)

Questions and answers

10:40 - 10:50 AM (UTC +1)

Agenda Americas

Visual workflows for data science education

2:00 - 2:15 PM (UTC -6)

Natasha Balac (Interdisciplinary Center for Data Science, UCSD)

5 Steps for Using KNIME in an ML Course

2:15 - 2:30 PM (UTC -6)

Satoru Hayasaka (KNIME)

Community resources for educators

2:30 - 2:40 PM (UTC -6)

Stefan Helfrich (KNIME)

Questions and answers

2:40 - 2:50 PM (UTC -6)

Europe / Asia

February 25, 2021 at 10 AM - 11 AM UTC +1 (Berlin) which is 
February 25, 2021 at 6 PM - 7 PM UTC +9 (Tokyo)

Register Now

Americas

February 25, 2021 at 2 PM - 3 PM UTC -6 (Chicago)

Register Now

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.

  • To trade between syntactic complexities of code-based tools and in-depth coverage of the analytics knowledge (concepts, theories, and best practices). 

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 the concepts and methods.

  • 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.

  • 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.

  • 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

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.

LinkedInTwitterShare