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所在平台: Udemy |
课程主页: https://www.udemy.com/course/sql-questions-exam-practice-test/
课程评论：没有评论
SQL（Structured Query Language）是一种用于管理和操作数据库的标准编程语言。它允许用户在关系型数据库管理系统（RDBMS）中存储、检索、更新和删除数据。 **SQL用途:** * 查询数据（例如，查找特定记录） * 向数据库插入新数据 * 更新现有数据 * 删除数据 * 创建和修改表及数据库 * 管理数据库权限 **基本SQL命令:** * `SELECT`: 从表中检索数据 * `INSERT INTO`: 添加新数据 * `UPDATE`: 修改现有数据 * `DELETE`: 删除数据 * `CREATE TABLE`: 定义新表 * `DROP TABLE`: 删除表 **SQL的重要性:** SQL对于数据分析、报告、后端Web开发、商业智能以及任何涉及结构化数据的工作至关重要。 **课程内容:** 本课程全面介绍SQL，这是管理和查询关系型数据库的行业标准语言。课程面向初学者和专业人士，教授如何在实际场景中使用SQL创建、管理和操作数据。学生将学习编写高效的SQL查询，从数据中提取有意义的洞察，并执行过滤、分组、连接表以及使用子查询等复杂操作。课程还涵盖数据库设计原则、规范化以及处理大型数据集的最佳实践。在MySQL、PostgreSQL或SQLite等平台上进行动手练习和项目，将巩固理论知识，并培养与数据分析、软件开发和商业智能职业相关的实践技能。 **关键主题:** * 数据库和关系模型简介 * SQL语法和数据类型 * SELECT查询和过滤结果 * 聚合、分组和排序 * JOIN和子查询 * 创建和修改表 * 数据导入/导出和管理 * 基本数据库设计和规范化 **课程长度:** 4-10周（自定进度或教师指导） **先决条件:** 基本的计算机技能；无需编程经验 **目标受众:** 有志向的数据分析师、软件开发人员、IT专业人员、业务分析师
SQL (Structured Query Language) is a standard programming language used to manage and manipulate databases. It allows users to store, retrieve, update, and delete data within a relational database management system (RDBMS) like MySQL, PostgreSQL, Microsoft SQL Server, or Oracle.What SQL Is Used For:Querying data (e.g., finding specific records)Inserting new data into a databaseUpdating existing dataDeleting dataCreating and modifying tables and databasesManaging database permissionsBasic SQL Commands:SELECT: Retrieve data from a tableINSERT INTO: Add new dataUPDATE: Modify existing dataDELETE: Remove dataCREATE TABLE: Define a new tableDROP TABLE: Delete a tableWhy SQL Matters:SQL is essential for:Data analysis and reportingBack-end web developmentBusiness intelligenceAny job that involves working with structured dataThis course provides a comprehensive introduction to Structured Query Language (SQL), the industry-standard language for managing and querying relational databases. Designed for beginners and professionals alike, the course teaches how to create, manage, and manipulate data using SQL in real-world scenarios.Students will learn to write efficient SQL queries, retrieve meaningful insights from data, and perform complex operations such as filtering, grouping, joining tables, and using subqueries. The course also covers database design principles, normalization, and best practices for working with large datasets.Hands-on exercises and projects using platforms like MySQL, PostgreSQL, or SQLite will reinforce theoretical knowledge and build practical skills relevant for careers in data analysis, software development, and business intelligence.Key Topics:Introduction to databases and relational modelsSQL syntax and data typesSELECT queries and filtering resultsAggregation, grouping, and sortingJOINS and subqueriesCreating and modifying tablesData import/export and managementBasic database design and normalizationCourse Length: 4-10 weeks (self-paced or instructor-led)Prerequisites: Basic computer literacy; no prior programming experience requiredTarget Audience: Aspiring data analysts, software developers, IT professionals, business analysts
