A Simple Introduction to Data Science: BOOK TWO

Editorial Reviews

Taking up where the bestselling A SIMPLE INTRODUCTION TO DATA SCIENCE leaves off, Lars Nielsen’s BOOK TWO expands on elementary concepts introduced in the first volume while at the same time embracing several new and key topics. Coverage includes the art and practice of introducing Data Science to the culture of the enterprise … Data Science ethics and privacy concerns … key concepts in data visualization … the role of Artificial Intelligence, Machine Learning, and Deep Learning … Data Curation and the “Tribal Knowledge” problem … Hadoop, R, and Python … and discussion of how the Data Scientist role will evolve in future.

Table of Contents

  • Introduction
  • Data Science: Making Something Out of Nothing
  • Introducing Data Science to the Enterprise
  • Data Science Ethics and Privacy Concerns
  • The Art of Seeing Things: Data Visualization
  • Artificial Intelligence, Machine Learning, and Deep Learning in Data Science
  • Data Curation and The Tribal Knowledge Problem
  • Hadoop, R, and Python
  • The Evolving Role of the Data Scientist

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