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If you want to learn Data Science, there's no escaping the need for hands-on experience with the tools you'll be using on a daily basis. This course shows you how to install free and Open Source tools that top professionals use every day.
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In the second edition of this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example. Updated for Spark 2.1, this edition acts as an introduction to these techniques and other best practices in Spark programming.
What Students Are Saying
Short and Crisp. This is probably the 7th or 8th Hadoop course I went through. This one tops all.
Mr. King’s explanations are (like most of the material used in the course) clear and fresh, describing all the concepts, general usage of the tools and even showing common mistakes, so we can avoid them in the future.
This is an introductory course to this amazing technology but compared with other similar courses I had in the past, it is clearly described from a practical point of view and not only from a technical point of view. Of course this course is a starting point but the major advantage is that you will hear about a concrete experience from a skilled professional.
Super. Straight to the key points and simple examples to each component. In my opinion, anyone looking for a good start should start here. Loved it.