Data collected from customers, scientific measurements,
IoT sensors, and so on is valuable only if you understand it. Data scientists revel in the interesting and rewarding challenge of observing, exploring, analyzing, and interpreting this data. Getting started with data science means more than mastering analytic tools and techniques, however; the real magic happens when you begin to think like a data scientist. This book will get you there.

Think Like a Data Scientist teaches you a step-by-step approach
to solving real-world data-centric problems. By breaking down carefully crafted examples, you’ll learn to combine analytic, programming, and business perspectives into a repeatable process for extracting real knowledge from data. As you read, you'll discover (or remember) valuable statistical techniques and explore powerful data science software. More importantly, you’ll put this knowledge together using a structured process for data science. When you've finished, you'll have a strong foundation for a lifetime of data science learning and practice.

What’s Inside

• The data science process, step-by-step

• How to anticipate problems

• Dealing with uncertainty

• Best practices in software and scientific thinking

Readers need beginner programming skills and knowledge of
basic statistics. 

Brian Godsey has worked in software, academia, finance, and

defense and has launched several data-centric start-ups.

从客户那里收集的数据，科学测量。

物联网传感器，等等，只有当你了解它时才有价值。数据科学家陶醉于观察、探索、分析和解释这些数据的有趣和有益的挑战。然而，开始学习数据科学不仅仅意味着掌握分析工具和技术；当你开始像数据科学家一样思考时，真正的魔法才会发生。本书将帮助你实现这一目标。

像数据科学家一样思考》教给你一个循序渐进的方法

来解决现实世界中以数据为中心的问题。通过分解精心制作的例子，你将学会把分析、编程和商业观点结合到一个可重复的过程中，从数据中提取真正的知识。在阅读过程中，你会发现（或记住）有价值的统计技术并探索强大的数据科学软件。更重要的是，你会用数据科学的结构化流程把这些知识整合起来。当你完成后，你将为一生的数据科学学习和实践打下坚实的基础。

内容包括

- 数据科学过程，一步一步来

- 如何预测问题

- 处理不确定性

- 软件和科学思维的最佳实践

读者需要具备初级编程技能和基本的统计知识。

基本的统计学知识。

布莱恩-戈德西曾在软件、学术界、金融和国防领域工作，并创办了几家以数据为中心的创业公司。

国防部，并发起了几个以数据为中心的