KNIME Analytics Platform for Data Scientists: Advanced (L2)

KNIME Analytics Platform is the open source software for creating data science. Intuitive, open, and continuously integrating new developments, KNIME makes understanding data and designing data science workflows and reusable components accessible to everyone. This course builds on the KNIME Analytics Platform for Data Scientist: Basics (L1) 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.

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

What will you learn

How to import data (csv, excel, table, external database)
How to manipulate data
How to visualize data
How to work with images
How to integrate external tools
How to work with databases
How to deploy

Subjects

Simple streaming and Components
Geographic analysis
Restful Geolocation
Webportal datamining
Data Science Application workshop

Who should attend?

This course is intended for Data Scientists who are already familiar with the KNIME Platform and want to take the next step.

Prerequisite

This course is targeted to Data Scientists who are already familiar with the KNIME Platform on the level of the KNIME Analytics Platform for Data Scientist: Basics (L1) course.