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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/sql-for-data-science
课程评论：没有评论
课程名称：SQL for Data Science 课程概述：随着数据收集量的急剧增加，对具有数据使用和交互能力的人才的需求也在不断上升。数据科学家兼具数学家、计算机科学家和趋势探测者的角色，能够批判性思考并提供见解，从而做出更好的决策并优化业务。在美国，数据科学家被认为是最佳职业，提供的中位薪资为110,000美元，同时有大量职位空缺。成为优秀数据科学家所需的技能之一是掌握SQL，这是与数据库系统交流的标准语言。本课程旨在为您提供SQL基本知识，让您能够开始分析数据以服务于数据科学。课程内容从基础知识开始，适合没有SQL基础的学员，逐步让您撰写简单和复杂的查询，以提取表中的数据。 课程大纲： 1. **开始与选择和检索数据** 该模块将帮助您定义SQL，并讨论SQL与其他计算机语言的区别。您将能够比较数据库管理员和数据科学家的角色，解释一对一、一对多和多对多数据库关系的区别。学习使用SELECT语句及基本语法规则，并合成在代码中添加注释的重要性。 2. **使用SQL过滤、排序和计算数据** 本模块介绍多个新子句和运算符，包括WHERE、BETWEEN、IN、OR、NOT、LIKE、ORDER BY和GROUP BY。学习使用通配符函数搜索更具体的记录，以及基本数学运算符与聚合函数（如AVERAGE、COUNT、MAX、MIN）来分析数据的方法。 3. **SQL中的子查询和连接** 本模块将讨论子查询的优缺点及其使用场景。回顾关键字段的概念，并讨论如何通过JOIN将数据关联在一起。学习识别和定义几种类型的JOIN，包括笛卡尔连接、内连接、左连接、右连接、全外连接和自连接，同时使用别名和前缀以提高SQL代码的明确性和效率。 4. **使用SQL修改和分析数据** 本模块将讨论字符串的修改，包括连接、修剪、大小写转换和使用子字符串功能。专门讨论日期和时间字符串，使用CASE语句，并讨论数据治理和数据性的概念。能力使用基本原则，将SQL应用于数据科学，以便在数据科学背景下使用SQL。 虽然本课程没有特定的前提条件或软件要求，但建议为最终项目使用简单的文本编辑器。那么，您还在等什么呢？这将是您在美国和全球最佳职业中获得工作的第一步！
Name:Getting Started and Selecting & Retrieving Data with SQL
Description:In this module, you will be able to define SQL and discuss how SQL differs from other computer languages. You will be able to compare and contrast the roles of a database administrator and a data scientist, and explain the differences between one-to-one, one-to-many, and many-to-many relationships with databases. You will be able to use the SELECT statement and talk about some basic syntax rules. You will be able to add comments in your code and synthesize its importance.
Name:Filtering, Sorting, and Calculating Data with SQL
Description:In this module, you will be able to use several more new clauses and operators including WHERE, BETWEEN, IN, OR, NOT, LIKE, ORDER BY, and GROUP BY. You will be able to use the wildcard function to search for more specific or parts of records, including their advantages and disadvantages, and how best to use them. You will be able to discuss how to use basic math operators, as well as aggregate functions like AVERAGE, COUNT, MAX, MIN, and others to begin analyzing our data.
Name:Subqueries and Joins in SQL
Description:In this module, you will be able to discuss subqueries, including their advantages and disadvantages, and when to use them. You will be able to recall the concept of a key field and discuss how these help us link data together with JOINs. You will be able to identify and define several types of JOINs, including the Cartesian join, an inner join, left and right joins, full outer joins, and a self join. You will be able to use aliases and pre-qualifiers to make your SQL code cleaner and efficient.
Name:Modifying and Analyzing Data with SQL
Description:In this module, you will be able to discuss how to modify strings by concatenating, trimming, changing the case, and using the substring function. You will be able to discuss the date and time strings specifically. You will be able to use case statements and finish this module by discussing data governance and profiling. You will also be able to apply fundamental principles when using SQL for data science. You'll be able to use tips and tricks to apply SQL in a data science context.
As data collection has increased exponentially, so has the need for people skilled at using and interacting with data; to be able to think critically, and provide insights to make better decisions and optimize their businesses. This is a data scientist, “part mathematician, part computer scientist, and part trend spotter” (SAS Institute, Inc.). According to Glassdoor, being a data scientist is the best job in America; with a median base salary of $110,000 and thousands of job openings at a time. The skills necessary to be a good data scientist include being able to retrieve and work with data, and to do that you need to be well versed in SQL, the standard language for communicating with database systems. This course is designed to give you a primer in the fundamentals of SQL and working with data so that you can begin analyzing it for data science purposes. You will begin to ask the right questions and come up with good answers to deliver valuable insights for your organization. This course starts with the basics and assumes you do not have any knowledge or skills in SQL. It will build on that foundation and gradually have you write both simple and complex queries to help you select data from tables. You'll start to work with different types of data like strings and numbers and discuss methods to filter and pare down your results. You will create new tables and be able to move data into them. You will learn common operators and how to combine the data. You will use case statements and concepts like data governance and profiling. You will discuss topics on data, and practice using real-world programming assignments. You will interpret the structure, meaning, and relationships in source data and use SQL as a professional to shape your data for targeted analysis purposes. Although we do not have any specific prerequisites or software requirements to take this course, a simple text editor is recommended for the final project. So what are you waiting for? This is your first step in landing a job in the best occupation in the US and soon the world!
