SQL for Data Analytics: Perform fast and efficient data analysis with the power of SQL
暫譯: SQL 數據分析：利用 SQL 的力量進行快速高效的數據分析

Malik, Upom, Goldwasser, Matt, Johnston, Benjamin

SQL for Data Analytics: Perform fast and efficient data analysis with the power of SQL

商品描述

Understanding and finding patterns in data has become one of the most important ways to improve business decisions. If you know the basics of SQL, but don’t know how to use it to gain business insights from data, this book is for you.

 

SQL for Data Analytics covers everything you need progress from simply knowing basic SQL to telling stories and identifying trends in data. You’ll be able to start exploring your data by identifying patterns and unlocking deeper insights. You’ll also gain experience working with different types of data in SQL, including time-series, geospatial, and text data. Finally, you’ll understand how to become productive with SQL with the help of profiling and automation to gain insights faster.

 

By the end of the book, you’ll able to use SQL in everyday business scenarios efficiently and look at data with the critical eye of analytics professional.

商品描述(中文翻譯)

理解和尋找數據中的模式已成為改善商業決策的最重要方式之一。如果你了解 SQL 的基本知識，但不知道如何利用它從數據中獲取商業洞察，這本書就是為你而寫的。

《SQL for Data Analytics》涵蓋了從僅僅了解基本 SQL 到講述故事和識別數據趨勢所需的一切。你將能夠通過識別模式和解鎖更深層的洞察來開始探索你的數據。你還將獲得使用 SQL 處理不同類型數據的經驗，包括時間序列數據、地理空間數據和文本數據。最後，你將了解如何利用分析和自動化來提高 SQL 的生產力，以更快地獲取洞察。

在書籍結束時，你將能夠在日常商業場景中高效地使用 SQL，並以分析專業人士的批判性眼光來看待數據。

作者簡介

Upom Malik

Upom Malik is a data scientist who has worked in the technology industry for over 6 years. He has a master's degree in chemical engineering from Cornell University and a bachelor's degree in biochemistry from Duke University. He uses SQL and other tools to solve interesting challenges in finance, energy, and consumer technologies. While working on analytical problems, he has lived out of a suitcase and spent a year as a digital nomad. Outside of work, he likes to read, hike the trails of the Northeastern United States, and savor ramen bowls from around the world.

Matt Goldwasser

Matt Goldwasser is a manager on the data science team at T. Rowe Price, where he has leveraged machine learning techniques to solve business problems. In this role, he has helped the company build its data science capability from the ground up in the newly formed technology development center. Prior to his current role, Matt was a data science manager at OnDeck, where he led efforts to use machine learning to increase customer acquisition. He has a bachelors's in mechanical and aerospace engineering from Cornell University, where he met his wife. In his spare time, he enjoys teaching his infant son the basics of data science.

Benjamin Johnston

Benjamin Johnston is a senior data scientist for one of the world's leading data-driven medtech companies and is involved in the development of innovative digital solutions throughout the entire product development pathway, from problem definition to solution research and development, through to final deployment. He is currently completing his PhD in machine learning, specializing in image processing and deep convolutional neural networks. He has more than 10 years' experience in medical device design and development, working in a variety of technical roles, and holds first-class honors bachelor's degrees in both engineering and medical science from the University of Sydney, Australia.

作者簡介(中文翻譯)

**Upom Malik**

Upom Malik 是一位數據科學家，在科技產業工作超過 6 年。他擁有康奈爾大學的化學工程碩士學位和杜克大學的生物化學學士學位。他使用 SQL 和其他工具來解決金融、能源和消費技術中的有趣挑戰。在處理分析問題的過程中，他曾經以行李箱為家，並花了一年時間作為數位遊牧者。在工作之餘，他喜歡閱讀、在美國東北部的步道上健行，並品嚐來自世界各地的拉麵。

**Matt Goldwasser**

Matt Goldwasser 是 T. Rowe Price 數據科學團隊的經理，他利用機器學習技術來解決商業問題。在這個角色中，他幫助公司在新成立的技術開發中心從零開始建立數據科學能力。在擔任目前的職位之前，Matt 是 OnDeck 的數據科學經理，負責領導使用機器學習來增加客戶獲取的工作。他擁有康奈爾大學的機械與航空工程學士學位，並在那裡認識了他的妻子。在空閒時間，他喜歡教他的嬰兒兒子數據科學的基本知識。

**Benjamin Johnston**

Benjamin Johnston 是全球領先的數據驅動醫療科技公司之一的高級數據科學家，參與從問題定義到解決方案研究與開發，再到最終部署的整個產品開發過程中的創新數位解決方案的開發。他目前正在完成機器學習的博士學位，專攻影像處理和深度卷積神經網絡。他在醫療設備設計和開發方面擁有超過 10 年的經驗，曾擔任多種技術角色，並持有澳大利亞悉尼大學的工程學和醫學科學的一級榮譽學士學位。

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