About this video

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 https://github.com/PacktPublishing/KNIME-A-Guide-for-Absolute-Beginners

Publication date:
July 2021
2 hours 31 minutes

About the Author
  • Dan We

    Dan We is a 32-year-old entrepreneur, data scientist, and data analytics/visual analytics consultant. He holds a master’s degree and is certified in Power BI as a qualified associate in Tableau. He is currently working in business intelligence and helps major companies get key insights from their data in order to deliver long-term growth and outpace their competitors.

    He is committed to supporting other people by offering them educational services to help them accomplish their goals and become the best in their profession or explore a new career path.

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KNIME – A Guide for Absolute Beginners [Video]
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