Online Course: [L2-DE] Data Engineering with KNIME Analytics Platform: Advanced

This course builds on the [L1-AP] Data Literacy with KNIME Analytics Platform - Basics by introducing advanced concepts for building and automating workflows.

This course covers topics for controlling node settings and automating workflow execution. You will learn concepts such as flow variables, loops, switches, and how to catch errors. In addition, you will learn how to handle date and time data, how to create advanced dashboards, and how to process data within a database.

Moreover, this course introduces basic concepts of data engineering. You will learn different types of data, structured, semi-structured and unstructured, as well as different sources of data. There will be examples and exercises showcasing how to handle such data.

This is an instructor-led course consisting of four, 75 minutes online sessions run by our data scientists. Each session has an exercise for you to complete at home, and 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: Flow Variables & Components
Session 2: Workflow Control and Invocation
Session 3: Date&Time, Databases, REST Services, Python & R Integration
Session 4: Introduction to Data Engineering
Session 5: Review of the Last Exercises and Q&A