KNIME
Course Index
28 Lessons · 3 Sections
Master KNIME — the open-source visual analytics platform for no-code data science and machine learning. Covers node-based workflows, deep learning & KNIME Server deployment. Includes 4 builds: data cleaning pipeline, classification model, ETL workflow & Server deployment.
28Lessons
3Sections
4Projects
FreeAccess
Section 1KNIME FundamentalsLessons 1–10
Lesson 1
What is KNIME? Open-Source Data Science Platform
Lesson 2
KNIME Setup: Analytics Platform Install
Lesson 3
KNIME Interface: Workbench, Node Repository & Workflow
Lesson 4
Reading Data: CSV, Excel & Database Nodes
Lesson 5
Data Manipulation: Row Filter, Column Filter & Math
Lesson 6
Joining & Merging Data in KNIME
Lesson 7
Statistics & Aggregation Nodes
Lesson 8
Visualisation Nodes in KNIME
Lesson 9
Machine Learning Nodes: Classification & Regression
Lesson 10
Workflow Automation & Metanodes
Section 2Python, ML & ServerLessons 11–22
Lesson 11
KNIME Python Integration
Lesson 12
KNIME R Integration
Lesson 13
Deep Learning with KNIME & TensorFlow
Lesson 14
KNIME Text Processing Extension
Lesson 15
KNIME for ETL & Data Pipelines
Lesson 16
KNIME Server: Deploying & Scheduling Workflows
Lesson 17
KNIME Hub: Sharing & Reusing Workflows
Lesson 18
KNIME with BigQuery & Snowflake
Lesson 19
KNIME for Business Intelligence & Reporting
Lesson 20
KNIME Components & Encapsulation
Lesson 21
KNIME vs Alteryx vs RapidMiner 2026
Lesson 22
KNIME in 2026: AI Extension & LLM Nodes
Section 3Anti-Patterns, Best Practices & ProjectsLessons 23–28