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210823 ||| eng |
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|a We, Dan
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| 245 |
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|a KNIME - A Guide for Absolute Beginners
|c We, Dan
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| 250 |
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|a 1st edition
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| 260 |
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|b Packt Publishing
|c 2021
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| 300 |
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|a 1 video file, approximately 2 hr., 32 min.
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| 653 |
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|a Vidéo en continu
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|a Vidéos sur Internet
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|a Internet videos / http://id.loc.gov/authorities/subjects/sh2007001612
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|a streaming video / aat
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|a Streaming video / http://id.loc.gov/authorities/subjects/sh2005005237
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|a eng
|2 ISO 639-2
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|b OREILLY
|a O'Reilly
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| 500 |
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|a Made available through: Safari, an O'Reilly Media Company
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|z 9781801078108
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|u https://learning.oreilly.com/videos/~/9781801078108/?ar
|x Verlag
|3 Volltext
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|a 000
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|a Use KNIME for data cleaning with a case study and learn how to perform some advanced data preparation About This Video No coding required Learn the basics and build a solid foundation during the case study Learn how to prepare advanced data preparation with KNIME In Detail 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
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