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所在平台: Udemy |
课程主页: https://www.udemy.com/course/the-complete-sql-bootcamp-a-step-by-step-approach/
课程评论：没有评论
课程名称：《完整的SQL训练营：逐步学习方法》 课程概述： 《完整的SQL训练营》是一门旨在从基础到专业水平的动手实践课程。该课程将探讨关系数据库的基本原理和强大的SQL编程语言，为开发人员提供必要的SQL技能，帮助他们编写单表和多表查询，操作表中的数据，并创建数据库对象。 课程内容： 本课程采用逐步教学的方式，旨在提高您的SQL技能，非常适合希望熟练掌握SQL的学生。由经验丰富的SQL开发讲师授课，课程提供了一个组织良好且引人入胜的学习体验，帮助学员掌握SQL。 学习目标： 完成课程后，您将学习到以下内容： - 使用基本的SQL SELECT语句检索数据 - 限制和排序数据 - 使用聚合函数 - 应用条件表达式 - 使用分组函数生成聚合数据报告 - 用连接显示多个表中的数据 - 利用窗口函数 - 使用WITH子句处理公用表表达式（CTEs） - 使用子查询和高级查询管理数据 - 使用DML语句管理表 - 创建序列、视图及模式对象 适合对象： 本课程适合各个级别的学习者，从想要打下坚实基础的初学者到追求精通的SQL专业人员均可参与。无需任何先前知识，适用于任何数据库用户，包括Oracle、MySQL、Microsoft SQL Server、Amazon Redshift和PostgreSQL等。
Brief Introduction:The Complete SQL Bootcamp is a hands-on course designed to take you from the basics to a professional level. This comprehensive course will explore the principles of relational databases and the robust SQL programming language. It will equip developers with vital SQL skills to write queries for single and multiple tables, manipulate data within those tables, and create database objects.Course Overview:This step-by-step SQL course is designed to improve your SQL skills and is ideal for students who want to become proficient in SQL. Led by an experienced SQL Developer Instructor, this course offers a well-organized and engaging learning experience for those who want to master SQL.Learning Objectives:By the end of the course, you will learn how to:Retrieve Data using basic SQL SELECT StatementsRestrict and Sort DataUse Aggregate FunctionsApply Conditional ExpressionsGenerate Reports with Aggregated Data Using Group FunctionsDisplay Data from Multiple Tables Using JoinsUtilize Window FunctionsWork with Common Table Expressions (CTEs) using the WITH clauseManage Data using Subqueries and Advanced QueriesManage Tables using DML StatementsCreate Sequences, Views, and Schema ObjectsWho is this course for?This course is designed for learners at all levels, from beginners looking for a solid foundation to SQL professionals striving for mastery. No prior knowledge is necessary. It is suitable for users of any database, including Oracle, MySQL, Microsoft SQL Server, Amazon Redshift, and PostgreSQL.
