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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-analysis-using-sql/
课程评论：没有评论
**课程名称：使用 SQL 进行数据分析 (Data Analysis Using SQL)** **课程概述：** 本课程旨在教授学员如何使用结构化查询语言 (SQL) 与关系型数据库进行交互和管理。课程内容全面，从基础的 SQL 语法和数据库设计，到高级概念如连接 (joins)、子查询 (subqueries)、公共表表达式 (common table expressions, CTEs)、窗口函数 (window functions)、条件语句 (conditional statements)、视图 (views) 和存储过程 (stored procedures) 都将涵盖。掌握这些概念对于数据处理、检索和分析至关重要。 **学习 SQL 的益处：** * **职业发展：** 提升市场竞争力，胜任 SQL 开发人员、软件工程师、数据科学家、数据库管理员等职位。 * **数据分析能力增强：** 深入理解数据库结构，更有效地进行数据分析。 * **易于学习其他语言：** SQL 的结构化特性有助于掌握其他编程语言。 * **灵活性与优化：** SQL 语言的灵活性允许开发者优化查询以获得最佳结果。 * **可扩展性：** SQL 可通过新增计算进行扩展，为企业带来更多有价值的洞察。 **当前数据驱动世界的价值：** 在当今数据量爆炸的时代，90% 的数据是在过去两年内产生的，超过 97% 的组织正在投资数据。SQL 作为第二大最受欢迎的数据管理编程语言，其重要性不言而喻，成为求职市场的关键技能。
The SQL course is designed to teach individuals how to interact with and manage data stored in relational databases using the Structured Query Language (SQL). This course cover various aspects, from basic syntax and database design to advanced concepts like joins, subqueries, common table expression, windows function, conditional statements , views and stored procedures. These concepts are critical for an individual who wants to master data manipulation, retrieval and analysis using SQL.Learning SQL offers numerous benefits, including career advancement, enhanced data analysis capabilities, and improved understanding of databases. It's a valuable skill for professionals in various fields, especially those dealing with data in any capacity. We are living in a data-driven world, with 90% of the world's data created in the last two years. As such, businesses are heavily investing in data, with over 97% of organizations doing so. SQL (Structured Query Language) is the second most popular programming language used to manage data in databases, making it a vital skill in the job market. Learning SQL can increase your marketability as a developer, leading to potential jobs like SQL Developer, Software Engineer, Data Scientist, and Database Administrator.Expertise of SQL Makes it Easy to Learn Other Software LanguagesSQL's structure offers a straightforward framework for data analysis.SQL is flexible and can be optimized by developers to run any query and derive results.SQL language can be adapted and extended with new calculations, thus resulting in interesting results beneficial for business across different domains.
