The Applied SQL Data Analytics Workshop, Second Edition
暫譯: 應用 SQL 數據分析工作坊（第二版）

Malik, Upom, Goldwasser, Matt, Johnston, Benjamin

The Applied SQL Data Analytics Workshop, Second Edition

商品描述

You already know that you want to learn data analysis with SQL, and a smarter way to learn is to learn by doing. The Applied SQL Data Analytics Workshop focuses on building up your practical skills so that you can navigate and compose custom reports like an expert data analyst. You'll learn from real examples that lead to real results.

 

Throughout The Applied SQL Data Analytics Workshop, you'll take an engaging step-by-step approach to understand data analytics with SQL. You won't have to sit through any unnecessary theory. You can jump into a single exercise each day if you're short on time, or you can spend an entire weekend tinkering with SQLAlchemy and Python. It's your choice. Learning on your terms, you'll build up and reinforce key skills in a way that feels rewarding.

 

Every physical print copy of The Applied SQL Data Analytics Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, you'll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive content updates. You'll even earn a secure credential that you can share and verify online upon completion. It's a premium learning experience that's included with your printed copy. To redeem, follow the instructions located at the start of your book.

 

Fast-paced and direct, The Applied SQL Data Analytics Workshop is the ideal companion for SQL beginners. You'll perform SQL queries like a professional data scientist, learning along the way. This process means that you'll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead.

商品描述(中文翻譯)

您已經知道您想學習使用 SQL 進行數據分析，而更聰明的學習方式是通過實踐來學習。《應用 SQL 數據分析工作坊》專注於提升您的實用技能，使您能像專業數據分析師一樣導航和編寫自定義報告。您將從實際範例中學習，這些範例將帶來真實的結果。

在《應用 SQL 數據分析工作坊》中，您將採取引人入勝的逐步方法來理解使用 SQL 的數據分析。您不必忍受任何不必要的理論。如果時間緊迫，您可以每天跳入一個練習，或者您可以花整個週末來研究 SQLAlchemy 和 Python。這完全取決於您。按照您的方式學習，您將以一種令人滿意的方式建立和加強關鍵技能。

每本《應用 SQL 數據分析工作坊》的實體印刷版都解鎖了互動版的訪問權限。通過詳細說明所有練習和活動的視頻，您將始終擁有指導解決方案。您還可以通過評估來自我基準測試，跟踪進度並接收內容更新。完成後，您甚至會獲得一個安全的證書，您可以在線分享和驗證。這是一種高級學習體驗，包含在您的印刷版中。要兌換，請按照書本開頭的說明進行操作。

快速且直接，《應用 SQL 數據分析工作坊》是 SQL 初學者的理想伴侶。您將像專業數據科學家一樣執行 SQL 查詢，並在過程中學習。這個過程意味著您會發現您的新技能會牢牢掌握，嵌入最佳實踐中。為未來幾年打下堅實的基礎。

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，他曾經隨身攜帶行李，並以數位遊牧者的身份生活了一年。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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