What you'll learn:
- Clean and transform messy real-world datasets using KNIME
- Build visual workflows for data preparation (no coding required)
- Perform ETL (extract, transform, load) processes step by step
- Solve a real consulting case using structured data analysis
- Combine and reshape data from multiple sources
- Automate repetitive data preparation tasks
- Prepare datasets for Power BI, Tableau, or further analysis
- Understand when to use KNIME instead of Excel or Python
Learn how to clean, transform, and prepare real-world data using KNIME without writing a single line of code.
In this hands-on course, you will work on a real consulting-style case study based on an energy drinks dataset. You will learn how to turn messy, unstructured data into clean, analysis-ready datasets that can be used for reporting and decision-making.
You will build KNIME workflows step by step and learn how to automate data preparation processes. By the end of the course, you will be able to prepare data for tools such as Power BI or Tableau and apply structured data transformation techniques in real-world scenarios.
What makes this course different
This course is built around a practical business scenario rather than isolated feature demonstrations. You will not just learn KNIME concepts, but apply them step by step to solve a realistic data problem, similar to how data analysts and consultants work in practice.
What you will learn
Clean and transform messy real-world datasets using KNIME
Build visual workflows for data preparation without coding
Perform ETL processes (extract, transform, load) step by step
Combine and reshape data from multiple sources
Automate repetitive data preparation tasks
Prepare datasets for Power BI, Tableau, or further analysis
Apply basic machine learning workflows in KNIME
Explore generative AI features in KNIME
Understand when to use KNIME instead of Excel or Python
Why KNIME
KNIME is a powerful and free data analytics platform that allows you to build workflows using a visual, drag-and-drop interface. It combines the flexibility of programming with the simplicity of no-code tools, making it an ideal starting point for beginners.
Hands-on learning approach
This course focuses on learning by doing. You will start from the basics and work through a complete case study, building your own workflows step by step and applying everything directly in practice.
Additional topics covered
Data visualization with Power BI and Tableau
Introduction to predictive analytics in KNIME
Practical workflow design and best practices
Who this course is for
Absolute beginners who want to learn data preparation without coding
Excel users who want a more powerful and automated way to clean and transform data
Aspiring data analysts who want hands-on experience with real data problems
Professionals who want to move from manual data preparation to automated workflows
Anyone interested in KNIME as a no-code alternative to Python
