解决任何数据分析问题（MEAP V08）

English | 2024 | ISBN: 9781633437531 | 562 pages | True PDF | 98.04 MB

Complete eight data science projects that lock in important real world skills–along with a practical process you can use to learn any new technique quickly and efficiently.

Solve Any Data Analysis Problem guides you through eight common scenarios you'll encounter as a data scientist or analyst. As you explore each project, you’ll also master a proven process for quickly learning new skills developed by author and Half Stack Data Science podcast host David Asboth.

In Solve Any Data Analysis Problem you’ll learn

High-value skills to tackle specific analytical problems Deconstructing problems for faster, practical solutions Data modeling, PDF data extraction, and categorical data manipulation Handling vague metrics, deciphering inherited projects, and defining customer records

In Solve Any Data Analysis Problem you’ll learn how to shift the way you think about data from the structured clean problems you get in a classroom, book, or bootcamp to the messy open-ended challenges of the workplace. As you work through eight problems you’ll see over and over on the job, you’ll discover a solutions-driven methodology that’s focused on getting results. You’ll learn how to determine a minimum viable answer for your stakeholders, identify and obtain the data you need to deliver, and reliably present and iterate on your findings. about the book Solve Any Data Analysis Problem presents eight industry scenarios that you’re sure to encounter in your data science career. The book can be read cover-to-cover, or opened up to whichever chapter is most relevant to your current challenges. You’ll explore data modeling by identifying customer records from retail transactions, navigate badly defined metrics, and learn how to extract data from PDFs as you analyze how COVID-19 changed the film industry.

Get your hands dirty with categorical data that defies conventional statistical analysis, and unearth hidden patterns in seemingly simple time series data. Plus, you’ll learn what to do when you’re handed someone else’s work to expand on, and how to wow your stakeholders with your presentations. By the time you’re done reading and working, you’ll have the kind of on-the-job skills it normally takes years to learn—and an amazing portfolio of projects to show off at an interview.

完成八个数据科学项目，锁定重要的现实世界技能——以及一个你可以用来快速而高效地学习任何新技术的过程。 《解决任何数据分析问题》指导你通过八种你作为数据科学家或分析师可能会遇到的常见场景。在探索每个项目的过程中，你还将掌握David Asboth（作者兼Half Stack Data Science播客主持人）开发并证明有效的一种新的技能学习过程。 在《解决任何数据分析问题》中，你将学习到： 具备高附加值的技术来应对具体的数据分析问题 分解问题以更快、更实用地解决问题 数据建模、PDF数据提取以及分类数据操作 处理模糊的指标、解读继承项目，并定义客户记录 在《解决任何数据分析问题》中，你将学会如何从结构化且干净的问题转到课堂、书籍或训练营中的结构性问题，转变到工作环境中复杂的开放性挑战。通过解决八个问题，你会在实际工作中反复发现一种以结果为导向的解决方案方法。你可以确定一个最小可行的答案来满足利益相关者的需求，识别并获取你需要的数据来交付成果，并可靠地展示和迭代你的发现。 关于这本书 《解决任何数据分析问题》呈现了八个你在数据科学职业生涯中一定会遇到的行业场景。这本书可以从头到尾阅读，也可以随时翻开与当前挑战最相关的章节。你可以通过标识零售交易中的客户记录来进行数据建模，探索模糊的指标，并学习如何从PDF文档中提取数据以分析新冠疫情对电影业的影响。 让你的手沾满处理那些常规统计分析下无法用传统方法解析的数据类别，并在看似简单的时序数据分析中发现隐藏的模式。此外，你还将学会如何应对他人交付的工作并让你的利益相关者印象深刻地展示你的成果。当你完成阅读和实践后，你会拥有能够在数年内学习到的现场工作技能——以及一个优秀的作品集，这能够让你在面试时炫耀。 《解决任何数据分析问题》

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