Coursera SQL for Data Science | Quiz答案, Week1

本文分享了Coursera上UCD的SQL for Data Science课程第一周的内容,包括数据模型、关系型数据库和事务模型的概念,以及Quiz和Coding题目的解答,涉及数据分析师、数据科学家等角色在SQL中的应用。

摘要生成于 C知道 ,由 DeepSeek-R1 满血版支持, 前往体验 >

最近开始初步学习SQL,在Coursera上找到了UCD的SQL for Data Science,个人感觉挺细致的,适合入门学习。这节课的视频里概念题很多,所以在这里把关键概念知识点和做过的Quiz和Coding题分享出来,希望同行者一起进步~

Week 1: Selecting & Retrieving Data with SQL

接 Week2: Coursera SQL for Data Science | Quiz答案, Week2_Spectre23c的博客-优快云博客

接 Week3: Coursera SQL for Data Science | Quiz答案, Week3_Spectre23c的博客-优快云博客

接 Week4: Coursera SQL for Data Science | Quiz答案, Week4_Spectre23c的博客-优快云博客

目录

Keypoints

Module 1 Quiz

Module 1 Coding Questions

Keypoints

Data Models, Part 1: Thinking About Your Data

Databases: A container (usually a file or set of files) to store organized data; a set of related information

Tables: A structured list of data or a specific type

Column: A single field in a table - all tables are made up of one or more columns

Row: A record in a table

Data Models, Part 2: The Evolution of Data Models

R is one of the most popular, powerful data analytics languages and environments in use by data scientists. Actionable business data is often stored in Relational Database Management Systems (RDBMS), and one of the most widely used RDBMS is Microsoft SQL Server. Much more than a database server, it’s a rich ecostructure with advanced analytic capabilities. Microsoft SQL Server R Services combines these environments, allowing direct interaction between the data on the RDBMS and the R language, all while preserving the security and safety the RDBMS contains. In this book, you’ll learn how Microsoft has combined these two environments, how a data scientist can use this new capability, and practical, hands-on examples of using SQL Server R Services to create real-world solutions. How this book is organized This book breaks down into three primary sections: an introduction to the SQL Server R Services and SQL Server in general, a description and explanation of how a data scientist works in this new environment (useful, given that many data scientists work in “silos,” and this new way of working brings them in to the business development process), and practical, hands-on examples of working through real-world solutions. The reader can either review the examples, or work through them with the chapters. Who this book is for The intended audience for this book is technical—specifically, the data scientist—and is assumed to be familiar with the R language and environment. We do, however, introduce data science and the R language briefly, with many resources for the reader to go learn those disciplines, as well, which puts this book within the reach of database administrators, developers, and other data professionals. Although we do not cover the totality of SQL Server in this book, references are provided and some concepts are explained in case you are not familiar with SQL Server, as is often the case with data scientists.
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值