Online Course

[L2-DS] KNIME Analytics Platform for Data Scientists: Advanced - Online

November 17, 2020 - Online
[L2-DS] KNIME Analytics Platform for Data Scientists: Advanced - Online

This course builds on the [L1-DS] KNIME Analytics Platform for Data Scientists: Basics by introducing advanced data science concepts.

Learn all about flow variables, different workflow controls such as loops, switches, and error handling. Find out how to automatically find the best parameter settings for your machine learning model, see how Date & Time integrations work, and get a taste for ensemble models, cross validation, and in-database processing.

This is a full day instructor-led course. During the course there’ll be hands-on sessions based on real-world use cases.

Course Content:

  • Flow Variables
  • Workflow Control - Loops, Switch and Try Catch
  • Date & Time
  • Advanced Machine Learning - Ensemble Models, Parameter Optimization, and Cross Validation
  • Database Extension

This course is part of the virtual KNIME Fall Summit 2020.

Download agenda

FAQ

What level of KNIME experience is needed for this course?

You should be an advanced KNIME user and ideally have already built some workflows. This course doesn’t provide an introduction to KNIME Analytics Platform - it focuses on more advanced data science concepts.

How do I join the course?

You'll receive a zoom link in a separate email a few days before the course starts. Make sure you have a stable internet connection!

What if I miss a session? Will I be able to watch a replay?

Sure! The sessions will be recorded and you’ll have access to each one for seven days from the time the session is over.

Will I be able to ask questions?

Absolutely - fire away!

What do I need to have?

Your own laptop, ideally pre-installed with the latest version of KNIME Analytics Platform, which you can download at knime.com/downloads.

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