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
General
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