KNIME – A Guide for Absolute Beginners

Preview this course

This is a complete crash course about KNIME for beginners. Here, we will learn how to do data cleaning and data preparation without any code, using KNIME. We will also cover data visualization using Tableau and Power BI Desktop. Then we will understand the predictive analytics capabilities of KNIME and finally, cover machine learning in KNIME.

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21 on-demand videos & exercises
Level: Beginner
2hrs 31mins
Access on mobile, web and TV

What to know about this course

Data cleaning is always a big hassle, especially if we are short on time and want to deliver crucial data analysis insights to our audience. KNIME makes the data prep process efficient and easy. With KNIME, you can use the easy-to-use drag-and-drop interface, if you are not an experienced coder. But if you know how to work with languages such as R, Python, or Java, you can use them as well. This makes KNIME a truly flexible and versatile tool.

In this course, we start from the basics and learn KNIME in a (hopefully) fun and easy way by going through a case study together and prepare the data based on the requirements in the case study. After completing our data prep, we will learn how to visualize data using tools such as Power BI and Tableau. Finally, we also briefly cover the predictive analytics capabilities of KNIME and see how easy machine learning in KNIME can be.

By the end of this course, you will be able to use KNIME for data cleaning and data preparation without any code. All the resources and supportive files for this course are available at

Who's this course for?

This course is designed for aspiring data scientists and data analysts who want to work smarter, faster, and more efficiently. This course is also for anyone who wants to learn how to effectively clean data or encounter various data issues (for example, format) in the past and is looking for a solid solution.

Note: Tableau Desktop and Microsoft Power BI Desktop are optional.

What you'll learn

  • Learn KNIME using a case study.
  • Prepare data in advance to visualize it later in tools such as Tableau or Power BI.
  • Extend your data analytics knowledge.
  • Perform simple to advanced ETL (Extraction - Transformation - Load).
  • Clean and shape your data the way you need it.
  • Learn how to use machine learning/AI predictive analytics capabilities.

Key Features

  • No coding required.
  • Learn the basics and build a solid foundation during the case study.
  • Learn how to prepare advanced data preparation with KNIME.

Course Curriculum

About the Author

Daniel Weikert

Daniel Weikert is a 33-year-old entrepreneur, data enthusiast, consultant, and trainer. He is a master's degree holder certified in Power BI, Tableau, Alteryx (Core and Advanced), and KNIME (L1–L3). He is currently working in the business intelligence field and helps companies and individuals obtain vital insights from their data to deliver long-term strategic growth and outpace their competitors. He possesses a fervent dedication to both learning and teaching. His unwavering commitment extends to providing educational services and assisting individuals in achieving their objectives, mastering their fields, and embarking on new career journeys.

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