Onsite Course

[L1-DS] KNIME Analytics Platform for Data Scientists: Basics

September 17, 2020 - Stuttgart

Co-hosted by our local partner, DYMATRIX, this course is designed for those who are just getting started on their data science journey with KNIME Analytics Platform. It starts with a detailed introduction of KNIME Analytics Platform - from downloading it through to navigating the workbench. 

The course then introduces you to KNIME Analytics Platform covering the whole data science cycle from data import, manipulation, aggregation, visualization, model training, and deployment. Find out how to integrate external tools like Python, R, Google Sheets, and others. And lastly, learn how to export your data and create a report for sending to your colleagues. 

During the course there’ll be hands-on sessions based on real-world use cases. This course will be followed by [L2-DS] KNIME Analytics Platform for Data Scientists: Advanced on Sep 18, 2020.

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.

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

None! We’ll start right from the beginning and teach you everything you need to know to get up and running with KNIME Analytics Platform.

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 L1 of the KNIME Certification.

What is the difference to the course KNIME Analytics Platform for Data Wranglers: Basics?

This course covers different machine learning problems and therefore less on data transformation.

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?