Online Course

[L4-CH] Introduction to Working with Chemical Data - Online

- - Online

During this online course you’ll learn to build interactive cheminformatics workflows using KNIME Analytics Platform and its Cheminformatics Extensions. The hands-on training will contain several units where we'll cover a diverse set of topics such as data manipulation and interactive filtering, fingerprints and R-group decomposition, similarity searches and clustering, and data visualization and exploration. After completing this course you'll have a set of fully functional workflows and will have learned how to build your own.

This is an instructor-led course consisting of four 75-minute online sessions, each session has an exercise for you to complete at home, we will go through the solution at the start of the following session. The course concludes with a 15-minute wrap up session.

Course Content

  • Session 1: Exploring Chemical Data
  • Session 2: R Group Decomposition
  • Session 3: Clustering
  • Session 4: Similarity Search

This course is partially supported by de.NBI: the German Network for Biofinformatics Infrastructure.

October Deal:

Register for this course and get a 50% discount for upcoming certifications.

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

We assume that you have basic KNIME knowledge already but you don't need to be an expert.

How do I join the course?

You’ll receive a zoom link with your registration confirmation. Make sure you have a stable internet connection!

What if I miss a session? Will I be able to watch a replay?

Sure! The sessions will be recorded and you’ll have access to each one for seven days from the time the session is over.

Will I be able to ask questions?

Absolutely - fire away!

What do I need to have?

Your own laptop, ideally pre-installed with the latest version of KNIME Analytics Platform, which you can download at knime.com/downloads.

Where do I find the latest version of KNIME Analytics Platform?

Download the latest free, open source version of knime here: knime.com/download

What other resources will help me to get started on working with data in KNIME?
What if the course gets canceled?

In exceptional cases it can happen that we have to cancel a course. In such a case you are fully refunded and you can register again to another one of our upcoming courses.

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