This course builds on the [L1-LS] KNIME Analytics Platform for Data Scientists (Life Science): Basics by introducing advanced data science concepts using Life Science examples.

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, get a taste for ensemble models, parameter optimization, and cross validation and see how Date/Time integrations work.

This is an instructor-led course consisting of four, 75-minutes online sessions run by one of our KNIME data scientists. Each session has an exercise for you to complete at home and together, we will go through the solution at the start of the following session. The course concludes with a 15-minute wrap up session.

Sessions will be held on the following dates: December 7, 8, 9, and 10, 2020 at 4:00 PM - 5:15 PM UTC +1 (Berlin) and December 11, 2020 at 4:00 PM - 4:30 PM UTC +1 (Berlin).

Course Content

• Session 1: Flow Variables
• Session 2: Workflow Control - Loops, Switch and Try Catch
• Session 3: Advanced Machine Learning - Ensemble Models, Parameter Optimization, and Cross Validation
• Session 4: Integrated Deployment & Date/Time Data

Other Information

• We'll be using zoom.us as the conferencing system so you'll need a stable and fast enough internet connection. Check your confirmation email for this link.

More information is available on our website.