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. 

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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 
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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. 

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Price per person

€ 1.240,- (excluding VAT)

Duration of this course

2 days

Course dates

19 - 20 december 2022
20 - 21 february 2023
17 - 18 april 2023
19 - 20 june 2023

The teacher

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Besides working as a BI consultant, I enjoy connecting people and technology.

Ruben de Gelder

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