AI + Data Processing

clean and analyse data without code

This track teaches you how to build a no‑code data pipeline for cleaning and analysing data. It is for anyone who finds spreadsheets limiting but does not want to write Python code, including analysts, marketers, and small‑team developers. After completing the track you will be able to create visual workflows in KNIME to clean messy exports, join inconsistent sources, classify rows, and generate repeatable reports. You will also set up a headless content management system with Directus to store and serve your data, and you will design simple AI‑enabled automations in n8n that can run without manual intervention. With the advanced n8n module you will extend those automations into more complex scientific tools, turning your workflow platform into a virtual lab bench. Start with Chapter 1 (KNIME) to learn the visual data‑science environment, then move to Chapter 2 (Directus) to manage your content. Continue with Chapter 3 (basic n8n) for first AI agents, and finish with Chapter 4 (advanced n8n) for sophisticated tools. If you are short on time, you can skip Chapter 2 after understanding that Directus is optional for simple pipelines, but the rest of the sequence should be followed to keep the learning flow coherent.