The Well-Grounded Data Analyst: Solve Messy Data Problems Like a Pro
暫譯: 扎實的數據分析師：像專業人士一樣解決混亂的數據問題
Asboth, David
- 出版商: Manning
- 出版日期: 2025-03-25
- 售價: $2,010
- 貴賓價: 9.5 折 $1,910
- 語言: 英文
- 頁數: 472
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1633437531
- ISBN-13: 9781633437531
海外代購書籍(需單獨結帳)
商品描述
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. The Well-Grounded Data Analyst 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 The Well-Grounded Data Analyst 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 The Well-Grounded Data Analyst 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. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the book The Well-Grounded Data Analyst 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. About the reader For early-career data scientists. You know the technical basics--this book will teach you how to apply them successfully on the job. About the author David Asboth is a "data generalist", with experience as a freelance consultant, educator, software architect, and more. He co-hosts the Half Stack Data Science podcast about data science in the real world, has spoken at multiple conferences including the Data Science Festival in London, and has taught a variety of data science courses to enterprise students including large banks and consultancies.
- 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 The Well-Grounded Data Analyst 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. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the book The Well-Grounded Data Analyst 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. About the reader For early-career data scientists. You know the technical basics--this book will teach you how to apply them successfully on the job. About the author David Asboth is a "data generalist", with experience as a freelance consultant, educator, software architect, and more. He co-hosts the Half Stack Data Science podcast about data science in the real world, has spoken at multiple conferences including the Data Science Festival in London, and has taught a variety of data science courses to enterprise students including large banks and consultancies.
商品描述(中文翻譯)
完成八個數據科學專案，掌握重要的現實世界技能，以及一個實用的流程，讓你能快速有效地學習任何新技術。
扎實的數據分析師將引導你通過作為數據科學家或分析師時會遇到的八個常見情境。在探索每個專案的同時，你還將掌握由作者及《Half Stack Data Science》播客主持人David Asboth所開發的快速學習新技能的有效流程。 在扎實的數據分析師中，你將學到： - 解決特定分析問題的高價值技能- 拆解問題以獲得更快的實用解決方案
- 數據建模、PDF數據提取和類別數據操作
- 處理模糊指標、解讀繼承專案和定義客戶記錄 在扎實的數據分析師中，你將學會如何改變對數據的思考方式，從課堂、書本或訓練營中獲得的結構化清晰問題，轉向工作場所中的混亂開放式挑戰。當你處理八個在工作中經常遇到的問題時，你將發現一種以解決方案為導向的方法，專注於獲得結果。你將學會如何為你的利益相關者確定最小可行答案，識別並獲取你需要交付的數據，並可靠地呈現和迭代你的發現。 購買印刷版書籍可獲得Manning Publications提供的免費PDF和ePub格式電子書。 關於本書 扎實的數據分析師呈現了八個你在數據科學職業生涯中必然會遇到的行業情境。這本書可以從頭到尾閱讀，或打開最相關的章節以應對當前挑戰。你將通過識別零售交易中的客戶記錄來探索數據建模，導航不明確的指標，並學習如何從PDF中提取數據，分析COVID-19如何改變電影產業。 親自處理違反傳統統計分析的類別數據，並在看似簡單的時間序列數據中挖掘隱藏的模式。此外，你將學會在接手他人工作以擴展時該怎麼做，以及如何用你的演示讓利益相關者驚豔。當你完成閱讀和實作後，你將擁有通常需要多年才能學會的職場技能，以及一個令人驚豔的專案作品集，讓你在面試中展示。 關於讀者 針對早期職業的數據科學家。你已經掌握了技術基礎——這本書將教你如何在工作中成功應用它們。 關於作者 David Asboth是一位「數據通才」，擁有自由顧問、教育者、軟體架構師等多種經驗。他共同主持了關於現實世界數據科學的《Half Stack Data Science》播客，曾在包括倫敦數據科學節在內的多個會議上發言，並為大型銀行和顧問公司等企業學生教授各種數據科學課程。
作者簡介
David Asboth is a "data generalist", with experience as a freelance consultant, educator, software architect, and more. He co-hosts the Half Stack Data Science podcast about data science in the real world, has spoken at multiple conferences including the Data Science Festival in London, and has taught a variety of data science courses to enterprise students including large banks and consultancies.
作者簡介(中文翻譯)
David Asboth 是一位「數據通才」，擁有自由顧問、教育者、軟體架構師等多方面的經驗。他共同主持了《Half Stack Data Science》播客，討論現實世界中的數據科學，並在多個會議上發表演講，包括倫敦的數據科學節。他還為企業學生教授各種數據科學課程，對象包括大型銀行和顧問公司。
