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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
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