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Publisher's Summary

Lars Nielsen and Noreen Burlingame provide a brief, understandable, user-friendly guide to all aspects of Data Science. The authors address the various skills required, the key steps in the Data Science process, software technology related to the effective practice of Data Science, and the best rising academic programs for training in the field.
Contents: Data Science Summarized * What is Big Data * Hadoop * Data Management * Data Cleaning * Data Modeling for Unstructured Data * Predictive Analysis * Creativity and Intuition (or Posing the Right Question, at the Right Time, for the Right Data) * Data Visualization (or Telling the Story) * Cassandra * Academic Programs
©2012 New Street Communications, LLC (P)2014 New Street Communications, LLC
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Customer Reviews

Most Helpful

By William Reston on 04-13-15

excellent introduction - very clear

Nicely produced and cogently presented rudiments of data science in a presentation ideal for the non-technical novice who needs to understand this most essential emerging aspect of the enterprise.

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2 of 2 people found this review helpful


By Jeanne D'Arcy on 11-09-14

Remarkably clear introduction to a complex subject

Where does A Simple Introduction to Data Science rank among all the audiobooks you’ve listened to so far?

Among the best in both content and production.

What was one of the most memorable moments of A Simple Introduction to Data Science?

Not a narrative story so really does not have "moments." Good information overall.

What about Owen Daly’s performance did you like?

Resonant, easy-to-listen-to voice with excellent delivery.

Any additional comments?

A damn good "first" book regarding an important area for professionals to be aware of, and exploit.

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2 of 2 people found this review helpful

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Customer Reviews

Most Helpful

By James Shields on 03-18-16

Waste of time

I usually try to give positive reviews, otherwise I say nothing. But this, like some others, deserves comment. Superficial trivial put together in a hurry complete and utter drivel. Don't waste your tim

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