This course builds on the [L1-DS] 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. 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.
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.
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.
Your own laptop, ideally pre-installed with the latest version of KNIME Analytics Platform, which you can download at knime.com/downloads.
You can complete L2 of the KNIME Certification.
Download the latest free, open source version of KNIME here.
KNIME Analytics Platform for Data Scientists: Basic or KNIME Analytics Platform for Data Wranglers: Basic
You’ll receive a zoom link with your registration confirmation. Make sure you have a stable internet connection!
Absolutely - fire away!
In exceptional cases it can happen that we have to cancel a course. In such a case you are fully refunded and you can register again to another one of our upcoming courses.