Course

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

March 31, 2020 - Berlin

This course builds on the KNIME Analytics Platform for Data Scientist: Basics by introducing advanced data science concepts. 

Learn all about flow variables, different workflow controls such as loops, switches, and error handling. Explore advanced data mining techniques and learn how to create models in KNIME Analytics Platform. 

During the course there’ll be hands-on sessions based on real-world use cases.

NOTE: This course replaces our previous two-day KNIME Analytics Platform Course, which is now split into two one-day courses - [L1-DS] KNIME Analytics Platform for Data Scientists: Basics and [L2-DS] KNIME Analytics Platform for Data Scientists: Advanced.

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FAQ
What level of KNIME experience is needed for this course?

You should already know how to build workflows using KNIME Analytics Platform. This course doesn’t provide an introduction to KNIME Analytics Platform - it focuses on more advanced concepts of data science  of automating and building workflows.

What do I need to bring?

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

What level of KNIME Certification can I complete with this course?

You can complete L2 of the KNIME Certification.

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 with KNIME?
What course is right for me if this one is too advanced?

KNIME Analytics Platform for Data Scientists: Basic or KNIME Analytics Platform for Data Wranglers: Basic