This course builds on the [L1-DW] KNIME Analytics Platform Course for Data Wranglers: Basics by introducing advanced concepts for building and automating workflows.
Learn all about flow variables, different workflow controls such as loops, switches, and how to catch errors. And lastly learn how to visualize your data, export your results, format your Excel tables, and look beyond data wrangling towards data science, training your first classification model.
This is an instructor-led course consisting of four, 75 minutes online sessions run by one of our KNIME data scientists. Each session has an exercise for you to complete at home and together, we will go through the solution at the start of the following session. The course concludes with a 15-30 minutes wrap up session.
Session 1: Data Visualization & Data Export
Session 2: Flow Variables
Session 3: Workflow Control
Session 4: Styling Excel Tables & Introduction to Machine Learning
Session 5: Correction of the Last Exercises and Q&A
You first need to create an account on the KNIME Learning Store. After you log on to the KNIME Learning Store, clicking on the “Register now” button will take you to the course web page.
You should already know how to build workflows using KNIME Analytics Platform. This course doesn’t provide an introduction to KNIME Analytics Platform - it focuses on more advanced concepts of automating and building workflows.
You can join the course using the Zoom links found in your LearnUpon course page. Please note that each Zoom link is specific to a particular session. Make sure you have a stable internet connection!
Sure! The sessions will be recorded and you’ll have access to each one for one month from the time the session is over.
Absolutely - fire away!
Your own laptop, ideally pre-installed with the latest version of KNIME Analytics Platform.
Download the latest free, open source version of KNIME here: knime.com/downloads.
The [L1-DW] KNIME Analytics Platform for Data Wranglers: Basics course.
You can complete L2 of the KNIME Certification.