The Art Of Data Science 1st Roger D Peng Elizabeth Matsui by Roger D. Peng; Elizabeth Matsui 9781365061462, 1365061469 instant download after payment.

Data analysis is a difficult process largely because few people can
describe exactly how to do it. It's not that there aren't any people
doing data analysis on a regular basis. It's that the process by which
we state a question, explore data, conduct formal modeling, interpret
results, and communicate findings, is a difficult process to generalize
and abstract. Fundamentally, data analysis is an art. It is not yet
something that we can easily automate. Data analysts have many tools at
their disposal, from linear regression to classification trees to random
forests, and these tools have all been carefully implemented on
computers. But ultimately, it takes a data analyst—a person—to find a
way to assemble all of the tools and apply them to data to answer a
question of interest to people. 

This book writes down the
process of data analysis with a minimum of technical detail. What we
describe is not a specific "formula" for data analysis, but rather is a
general process that can be applied in a variety of situations. Through
our extensive experience both managing data analysts and conducting our
own data analyses, we have carefully observed what produces coherent
results and what fails to produce useful insights into data. This book
is a distillation of our experience in a format that is applicable to
both practitioners and managers in data science.