Big Data and Data Science Explained

BIG DATA AND DATA SCIENCE EXPLAINED is designed as a “first-book” for novices who find themselves needing to understand the fundamentals of Big Data and Data Science in their professional life, and also for would-be practitioners looking to understand the basics of the field. The book comprises a thoroughly updated, expanded, and combined edition of the bestsellers A SIMPLE INTRODUCTION TO DATA SCIENCE and A SIMPLE INTRODUCTION TO DATA SCIENCE, BOOK TWO – this in response to numerous requests from readers.

Our approach here is to assume little or no background on the subject, and to describe each aspect of Big Data and Data Science in the most user-friendly manner possible. Our target reader – the person we've kept in mind throughout our work – is the uninitiated man or woman coming to the subject anew, for the very first time.

- Lars Nielsen and Noreen Burlingame

CONTENTS:
Preface
Data Science Summarized
What is Big Data?
Data Management
Data Cleaning
Data Modeling for Unstructured Data
Predictive Analysis
Creativity and Intuition
Data Visualization
Cassandra
Hadoop
Making Something Out of Nothing
Introducing Data Science to the Enterprise
Data Science Ethics and Privacy Concerns
The Art of Seeing Things
Artificial Intelligence, Machine-Learning, and Deep-Learning in Data Science
Data Curation and the Tribal Knowledge Problem
R and Python
The Evolving Role of the Data Scientist