Chapter 1

Framing Data Science Strategy

IN THIS CHAPTER

Bullet Clarifying the concept of data science

Bullet Understanding the fundamentals of a data-driven organization

Bullet Putting machine learning in context of data science

Bullet Clarifying the components of an effective data science strategy

In this chapter, I aim to sort out the basics of what data science is all about, but I have to warn you that data science is a term that escapes any single complete definition — which, of course, makes data science difficult to understand and apply in an organization. Many articles and publications use the term quite freely, with the assumption that it’s universally understood. Yet, data science — including its methods, goals, and applications — evolves with time and technology and is now far different from what it might have been 25 years ago.

Despite all that, I'm willing to put forward a tentative definition: Data science is the study of where data comes from, what it represents, and how it can be turned into a valuable resource in the creation of business strategies. Data science can be said to be a multidisciplinary field ...

Get Data Science Strategy For Dummies now with the O’Reilly learning platform.

O’Reilly members experience live online training, plus books, videos, and digital content from nearly 200 publishers.