Think Like a Data Scientist: Tackle the data science process step-by-step
by: Brian Godsey
ISBN-10: 1633430278
ISBN-13: 9781633430273
Edition 版次: 1
Publication Date 出版日期: 2017-04-02
Print Length 页数: 328
Summary
Think Like a Data Scientist presents a step-by-step approach to data science,combining analytic,programming,and business perspectives into easy-to-digest techniques and thought processes for solving real world data-centric problems.
Purchase of the print book includes a free eBook in PDF,Kindle,and ePub formats from Manning Publications.
About the Technology
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.
About the Book
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
About the Reader
Readers need beginner programming skills and knowledge of basic statistics.
About the Author
Brian Godsey has worked in software,academia,finance,and defense and has launched several data-centric start-ups.
Contents
PART 1 – PREPARING AND GATHERING DATA AND KNOWLEDGE
Chapter 1. Philosophies Of Data Science
Chapter 2. Setting Goals By Asking Good Questions
Chapter 3. Data All Around Us: The Virtual Wilderness
Chapter 4. Data Wrangling: From Capture To Domestication
Chapter 5. Data Assessment: Poking And Prodding
PART 2 – BUILDING A PRODUCT WITH SOFTWARE AND STATISTICS
Chapter 1. Developing A Plan
Chapter 2. Statistics And Modeling: Concepts And Foundations
Chapter 3. Software: Statistics In Action
Chapter 4. Supplementary Software: Bigger,Faster,More Efficient
Chapter 5. Plan Execution: Putting It All Together
PART 3 – FINISHING OFF THE PRODUCT AND WRAPPING UP
Chapter 1. Delivering A Product
Chapter 2. After Product Delivery: Problems And Revisions
Chapter 3. Wrapping Up: Putting The Project Away
概要
像数据一样思考科学家们将分析，编程和业务视角分为数据科学的一步一步的方法，将其融入易于理解的技术和思维过程中，以解决以数据为中心的现实问题。
购买印刷书包含Manning Publications的PDF，Kindle和ePub格式的免费电子书。
关于技术
从客户收集的数据，科学测量，IoT传感器等只有在您了解之后才有价值。数据科学家们欣赏观察，探索，分析和解释这些数据的有趣和有益的挑战。数据科学的开始不仅仅是掌握分析工具和技术，当你开始像数据科学家一样思考时，真正的魔法就会发生。这本书会让你在那里
关于书
像数据一样思考科学家教你一步一步的方法来解决真实的以数据为中心的问题。通过打破精心制作的示例，您将学习将分析，编程和业务视角结合到一个可重复的过程中，从数据中提取真实知识。在阅读时，您将发现（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，您将使用结构化数据科学过程将这些知识结合在一起。完成之后，您将拥有一生数据科学学习和实践的坚实基础。
里面有什么
数据科学过程，一步一步
如何预测问题
处理不确定性
软件和科学思想的最佳实践
关于读者
读者需要初学者编程技能和基本统计知识。
关于作者
Brian Godsey曾在软件，学术，金融和国防方面工作，并已推出了几个以数据为中心的初创企业。
目录
第1部分 – 准备和掌握数据和知识
第一章数据科学哲学
第二章设定目标问题
第三章数据遍布我们: 虚拟荒野
数据争吵: 从捕获到驯化
第五章数据评估: 引导和产生
第二部分 – 用软件和统计数字建立产品
第一章制定计划
第二章统计与建模: 概念与基础
软件: 行动统计
第4章补充软件: 更大，更快，更高效
第五章计划执行: 把它放在一起
第3部分 – 完成产品和包装
第一章交付产品
产品交付后的问题和修订
第3章结束: 放弃项目
