Virtual Data Science Learnathon

October 7, 2020 - Online

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.

This session is presented by Adeyemi Odeneye (Meetup group: Lagos KNIME Users), who has been a strong member of the KNIME community in Nigeria for several years.

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.


How do I join the webinar?

You’ll receive a zoom link with your registration confirmation. Make sure you have a stable internet connection!

Will I be able to ask questions?

Yes, each group will be in different zoom breakout rooms, where you can ask questions.

Where do I find the latest version of KNIME Analytics Platform?

Download the latest free, open source version of knime here:

What other resources will help me to get started in KNIME?
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