What Is Data Science?

The future belongs to the companies and people that turn data into products

by Mike Loukides

DescriptionDetailsHashtagsReport an issue

Book Description

We've all heard it: according to Hal Varian, statistics is the next sexy job. Five years ago, in What is Web 2.0, Tim O'Reilly said that "data is the next Intel Inside." But what does that statement mean? Why do we suddenly care about statistics and about data? This report examines the many sides of data science - the technologies, the companies and the unique skill sets.

This open book is licensed under a Creative Commons License (CC BY). You can download What Is Data Science? ebook for free in PDF format (26.5 MB).

Book Details

Subject
Computer Science
Publisher
O'Reilly Media
Published
2011
Pages
17
Edition
1
Language
English
ISBN13 Digital
9781491911860
ISBN10 Digital
1491911867
PDF Size
26.5 MB
License
CC BY

Related Books

The Data Science Design Manual
This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual...
Data Science with Microsoft SQL Server 2016
R is one of the most popular, powerful data analytics languages and environments in use by data scientists. Actionable business data is often stored in Relational Database Management Systems (RDBMS), and one of the most widely used RDBMS is Microsoft SQL Server. Much more than a database server, it's a rich ecostructure with advanced analytic capab...
Projection-Based Clustering through Self-Organization and Swarm Intelligence
It covers aspects of unsupervised machine learning used for knowledge discovery in data science and introduces a data-driven approach to cluster analysis, the Databionic swarm(DBS). DBS consists of the 3D landscape visualization and clustering of data. The 3D landscape enables 3D printing of high-dimensional data structures.The clustering and numbe...
Introduction to Data Science
The demand for skilled data science practitioners in industry, academia, and government is rapidly growing. This book introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression and machine learning. It also helps you develop skills such a...
Fundamentals of Clinical Data Science
This book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using tec...
Mobile Media Learning
This book is an inspirational message about what is possible and practical in the name of learning through mobile media. We present stories from a diverse set of educators, a microcosm of the landscape of mobile media learning. Each author has found a way to create something new and beautiful in their own world. And though their results are exce...