SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis
暫譯: 數據科學家的 SQL：初學者的數據集建構指南

Teate, Renee M.

SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis

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商品描述

Jump-start your career as a data scientist--learn to develop datasets for exploration, analysis, and machine learning

SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis is a resource that's dedicated to the Structured Query Language (SQL) and dataset design skills that data scientists use most. Aspiring data scientists will learn how to how to construct datasets for exploration, analysis, and machine learning. You can also discover how to approach query design and develop SQL code to extract data insights while avoiding common pitfalls.

You may be one of many people who are entering the field of Data Science from a range of professions and educational backgrounds, such as business analytics, social science, physics, economics, and computer science. Like many of them, you may have conducted analyses using spreadsheets as data sources, but never retrieved and engineered datasets from a relational database using SQL, which is a programming language designed for managing databases and extracting data.

This guide for data scientists differs from other instructional guides on the subject. It doesn't cover SQL broadly. Instead, you'll learn the subset of SQL skills that data analysts and data scientists use frequently. You'll also gain practical advice and direction on "how to think about constructing your dataset."

  • Gain an understanding of relational database structure, query design, and SQL syntax
  • Develop queries to construct datasets for use in applications like interactive reports and machine learning algorithms
  • Review strategies and approaches so you can design analytical datasets
  • Practice your techniques with the provided database and SQL code

In this book, author Renee Teate shares knowledge gained during a 15-year career working with data, in roles ranging from database developer to data analyst to data scientist. She guides you through SQL code and dataset design concepts from an industry practitioner's perspective, moving your data scientist career forward

商品描述(中文翻譯)

跳躍你的資料科學家職涯——學習如何開發用於探索、分析和機器學習的資料集

《資料科學家的 SQL：初學者的分析資料集建構指南》是一本專注於結構化查詢語言（SQL）和資料集設計技能的資源，這些技能是資料科學家最常使用的。渴望成為資料科學家的讀者將學習如何構建用於探索、分析和機器學習的資料集。你還可以了解如何進行查詢設計，並開發 SQL 代碼以提取數據洞察，同時避免常見的陷阱。

你可能是許多從各種職業和教育背景進入資料科學領域的人之一，例如商業分析、社會科學、物理學、經濟學和計算機科學。像他們中的許多人一樣，你可能曾使用電子表格作為數據來源進行分析，但從未使用 SQL 從關聯數據庫中檢索和工程資料集。SQL 是一種專為管理數據庫和提取數據而設計的程式語言。

這本資料科學家的指南與其他相關主題的教學指南有所不同。它不會廣泛涵蓋 SQL，而是讓你學習資料分析師和資料科學家經常使用的 SQL 技能子集。你還將獲得有關「如何思考構建你的資料集」的實用建議和指導。

- 瞭解關聯數據庫結構、查詢設計和 SQL 語法
- 開發查詢以構建用於互動報告和機器學習算法等應用的資料集
- 審查策略和方法，以便設計分析資料集
- 使用提供的數據庫和 SQL 代碼練習你的技術

在這本書中，作者 Renee Teate 分享了她在資料領域工作 15 年所獲得的知識，擔任過從數據庫開發人員到資料分析師再到資料科學家的角色。她從行業實踐者的角度引導你了解 SQL 代碼和資料集設計概念，推進你的資料科學家職涯。

作者簡介

RENÉE M. P. TEATE is the Director of Data Science at HelioCampus, a higher ed tech startup based in the Washington, DC area. She prepares datasets with SQL, develops predictive models with Python, and designs interactive dashboards in Tableau for university decision-makers. She created the "Becoming a Data Scientist" podcast, helped build the data science learning community on Twitter, and is a sought-after speaker at industry conferences.

作者簡介(中文翻譯)

RENÉE M. P. TEATE 是位於華盛頓特區地區的高等教育科技初創公司 HelioCampus 的數據科學總監。她使用 SQL 準備數據集，利用 Python 開發預測模型，並為大學決策者設計互動式儀表板。她創建了「成為數據科學家」的播客，幫助在 Twitter 上建立數據科學學習社群，並且是業界會議中備受追捧的演講者。

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