Episode
0253 - Teaching Analytics Visually with Stefan Helfrich
- Podcast
- Design Talk (dot IE)
- Published
- May 15, 2025
- Duration seconds
- 2821
- Processing state
not_requested- Canonical source
- https://www.designtalk.ie
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Summary
Hosted by Christina Philips and Anabela Da Silva Filipe Soares. Welcome to today’s seminar by Stefan Helfrich. In this session Stefan talks about the education paths on offer for data analytics and the need for balance between learning concepts versus hands-on experiences with tools. Stefan makes the case for the value of visual workflow approaches for teaching and implementing analytics. How do we do that? KNIME implements a well-documented, comprehensive and capable software environment that enables users to design and operate data analytics workflows visually using the following objects: · Nodes perform tasks on data. Nodes have inputs and outputs. Nodes have status/indicators. Nodes are natively implemented in Java. Python scripts may also be used as code nodes. · Connectors link nodes. Connectors indicate data flows. Connectors send data from one node to another. Connectors have direction. Nodes plus connectors enable you to create workflows. · Workflows are designed aggregates of nodes linked using connectors · Components/Metanodes encapsulate discrete sub-workflows. Component/metanodes can be used like nodes. · A large library of pre-build nodes and metanodes are offered for common tasks like cleaning up data, visualization, plug into Tableau and PowerBI. · Supports all types of data. · Further reading, sources, mentions and acknowledgements. Stefan Helfrich -- https://www.linkedin.com/in/stefanhelfrich/ KNIME – https://www.knime.com/ See the KNIME…