Learn KNIME with Real Code Examples

Learn KNIME GUI basics and node operations

Understand workflow building and execution

Practice machine learning and preprocessing pipelines

Explore Python/R scripting nodes

Apply workflows to real-world data projects

Week 1: GUI workflow building

Week 2: Preprocessing and basic analytics nodes

Week 3: Machine learning modeling and evaluation

Week 4: Python/R scripting integration

Week 5: Automation, components, and big data workflows

What is a node in KNIME?

How does KNIME handle workflow reproducibility?

Explain integration with Python and R

How do you automate workflows in KNIME?

What are components and how are they used?

Node = workflow block performing a task

Workflow = connected sequence of nodes

Port = input/output connector between nodes

Component = reusable node group

KNIME Hub = repository for nodes and extensions

KNIME Beginner’s Luck

Mastering KNIME Analytics Platform

Hands-On Data Analytics with KNIME

Advanced Analytics with KNIME

Practical Machine Learning with KNIME

KNIME official tutorials

YouTube step-by-step workflow guides

University courses using KNIME

KNIME Hub workflows examples

Hands-on exercises with sample datasets

https://www.knime.com/knime-analytics-platform

https://docs.knime.com/

KNIME community forum

StackOverflow KNIME tag

KNIME Hub for workflows and nodes

GitHub extensions and integrations

Online courses and webinars

KNIME community forum

StackOverflow KNIME tag

KNIME Hub for nodes and workflows

GitHub extensions and integrations

Training courses and webinars from KNIME