Introduction to Data Analytics with KNIME
HDRips | MP4/AVC, ~562 kb/s | 1280×720 | Duration: 03:01:32 | English: AAC, 128 kb/s (2 ch) | 892 MB
Genre: Data Analytics
This is a hands-on basic course about data analytics and KNIME, and is designed for learners with little experience in data analytics or in programming. Taught by 24 year data analytics veteran Dr. Rosaria Silipo, it covers everything a beginning data analyst needs to know. You’ll learn about importing data from common data sources and how to investigate data using visual exploration, ETL, data blending, and some machine learning algorithms.
You’ll explore prediction models, clustering models, recommendation models, PMML models, and how to build a report in BIRT and the KNIME WebPortal. By course end, you’ll possess a basic understanding of the methods of data analytics as well as practical skills in using the KNIME platform for your own purposes.
Learn the basics of data analytics and how to apply them in real life scenarios using KNIME
Understand what the KNIME data analytics platform is and what it can do
See how beginners without programming skills can use KNIME for data analytics
Gain experience installing and working with the KNIME platform
Enjoy access to sample data analytics workflows and exercises
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