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Virtual Data Science Learnathon
This free online learnathon is a mix between a hackathon and a workshop. It's like a workshop because we'll learn more about the data science cycle: data access, data blending, data preparation, model training, optimization, testing, and deployment. It's like a hackathon because we'll work in groups to hack a workflow-based solution to guided exercises. The tool of choice is the open-source, GUI-driven KNIME Analytics Platform. Because KNIME is open, it offers great integrations with an IDE environment for R, Python; SQL, and Spark.
We'll start with an introduction to KNIME Analytics Platform, followed by a short presentation about the data science cycle. Then we'll solve three sets of exercises, where each set will focus on one of three aspects of the data science cycle:
Set 1 - Working on the raw data. Data access and data preparation.
Set 2 - Machine Learning. Which model shall I use? Which parameters?
Set 3 - I have a great model. Now what? The model deployment phase.
Due to the current situation with COVID-19, we can't, unfortunately, meet in person to work together in three groups. Instead, everyone can download the workshop material here and follow the presenter solving a subset of the exercises. Our data scientists will be available and happy to support you (remotely) while you work on the exercises.

For this webinar, we have something very special for you: please subscribe with your postal address and you will get you a box, yes a real box. Availability is limited, that's we can only consider the first 50 registrations. Thanks to ABAX for this very nice idea.
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