This course, hosted by our partner Target Reply Rome, will be run in Italian. It 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, parameter optimization, and cross validation.
This course consists of four, one-hour 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 30-minute wrap up at the end of the last session.
The course is capped at 40 participants - so register early!
- Session 1: Flow Variables
- Session 2: Workflow Control - Loops, Switch and Try Catch
- Session 3: Date&Time and Integrations
- Session 4: Advanced Machine Learning - Ensemble Models, Parameter Optimization, and Cross Validation, and Wrap Up
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!