Hands-on Introduction to Data Mining with KNIME - Training July 2015

- London, UK

This course covers the basics for data loading, integration, preprocessing, analysis and visualization with KNIME. It is being held in Rocket Holborn, 36-38 Kingsway, WC2B 6EY London, UK.

KNIME, the Konstanz Information Miner (http://en.wikipedia.org/wiki/KNIME), is an open source data analytics, reporting and integration platform. KNIME integrates various components for machine learning and data mining through its modular data pipelining concept. A graphical user interface allows assembly of nodes for data analytics workflow: data integration and preprocessing (ETL: Extraction, Transformation, Loading), for modeling and data analysis and visualization. Since 2006, KNIME has been used in a variety of data analytics fields, such as pharma, customer intelligence, finance, IoT, social media, and more.

Please bring your own laptop in order to follow the hands-on parts of the course.

All training materials will be included on a USB stick.

Coffee, tea and breakfast snacks as well as lunch and afternoon coffee and tea are included.

Training Content

Thursday, July 16, 2015: 8.30AM - 5PM

  • Introduction to KNIME
  • Data Reading and Preprocessing w/ Hands-On
  • Data Manipulation and Aggregation w/ Hands-On
  • Visualization w/ Hands-On
  • Training Predictive Models w/ Hands-On
  • Model Selection and Validation w/ Hands-On
  • Control Constructs: Looping and Switching w/ Hands-On
  • Reporting in KNIME w/ Hands-On
  • Walk Through of Example Workflows: Next Best Offer, Text&Network Mining, a.o.
  • Q&A Session

The course will be run by Dr Jon Fuller (LinkedIn@JonathanCFuller). Jon recently joined KNIME as an Application Scientist, he has expertise in the life sciences, having published more than ten articles covering topics such as 'druggability', 'drug binding kinetics' and 'life sciences server applications'. Jon has taught bioinformatics to masters and doctoral level.

Jon has a background in the Natural Sciences, gaining a BA Physics (University of Oxford), and a PhD Bioinformatics (University of Leeds). More recently Jon worked as a postdoctoral research associate at the Heidelberg Institute for Theoretical Studies, where he developed techniques and software to solve problems related to the systems biology of the liver as part of the Virtual Liver Network.

The KNIME Team.