数据科学从业者指南（True EPUB）

English | 2023 | ISBN: 9781351132916 | 412 pages | True EPUB | 21.3 MB

This book aims to increase the visibility of data science in real-world, which differs from what you learn from a typical textbook. Many aspects of day-to-day data science work are almost absent from conventional statistics, machine learning, and data science curriculum. Yet these activities account for a considerable share of the time and effort for data professionals in the industry. Based on industry experience, this book outlines real-world scenarios and discusses pitfalls that data science practitioners should avoid. It also covers the big data cloud platform and the art of data science, such as soft skills. The authors use R as the primary tool and provide code for both R and Python.

This book is for readers who want to explore possible career paths and eventually become data scientists. This book comprehensively introduces various data science fields, soft and programming skills in data science projects, and potential career paths. Traditional data-related practitioners such as statisticians, business analysts, and data analysts will find this book helpful in expanding their skills for future data science careers. Undergraduate and graduate students from analytics-related areas will find this book beneficial to learn real-world data science applications. Non-mathematical readers will appreciate the reproducibility of the companion R and python codes.

Key Features

• It covers both technical and soft skills.

• It has a chapter dedicated to the big data cloud environment. For industry applications, the practice of data science is often in such an environment.

• It is hands-on. We provide the data and　repeatable　R and Python code in notebooks. Readers can repeat the analysis in the book using the data and code provided. We also suggest that readers modify the notebook to perform analyses with their data and problems, if possible. The best way to learn data science is to do it!

英文| 2023 |国际标准图书编号：9781351132916 | 412页|真正的EPUB | 21.3 MB 本书旨在提高数据科学在现实世界中的可见度，这与你从典型教科书中学到的不同。常规统计学、机器学习和数据科学课程中几乎没有日常数据科学工作的许多方面。然而，这些活动在行业数据专业人员的时间和精力中占据了相当大的份额。基于行业经验，本书概述了现实世界的场景，并讨论了数据科学从业者应该避免的陷阱。它还涵盖了大数据云平台和数据科学的艺术，如软技能。作者使用R作为主要工具，并为R和Python提供代码。 这本书适合那些想要探索可能的职业道路并最终成为数据科学家的读者。本书全面介绍了各种数据科学领域、数据科学项目中的软件和编程技能以及潜在的职业道路。传统的数据相关从业者，如统计学家、业务分析师和数据分析师，会发现这本书有助于扩展他们未来数据科学职业的技能。来自分析相关领域的本科生和研究生会发现这本书有助于学习现实世界的数据科学应用。非数学读者会欣赏配套的R和python代码的可重复性。 主要特点 •它涵盖了技术和软技能。 •它有一章专门介绍大数据云环境。对于工业应用，数据科学的实践通常是在这样的环境中进行的。 •这是动手操作。我们在笔记本电脑中提供数据和可重复的R和Python代码。读者可以使用提供的数据和代码重复书中的分析。如果可能的话，我们还建议读者修改笔记本，用他们的数据和问题进行分析。学习数据科学的最好方法就是动手！

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