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所在平台: Udemy |
课程主页: https://www.udemy.com/course/practice-sql-interview-questions-for-data-science-2023/
课程评论：没有评论
Coursera SQL 数据科学面试实战课程总结 本课程旨在帮助学习者掌握数据科学领域所需的SQL面试技能。课程内容涵盖了SQL的基础知识、数据操作、数据分析、高级技术以及数据库设计和优化。 **课程核心内容：** * **SQL基础与语法：** 学习SQL的基本命令和语法，包括SELECT, FROM, WHERE, ORDER BY等子句。 * **JOINs与子查询：** 熟练掌握各种JOIN（INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN）以及子查询的使用。 * **数据操作与DDL：** 学习INSERT, UPDATE, DELETE等数据操作语句，以及DDL（数据定义语言）用于创建和修改数据库结构。 * **约束：** 理解并应用PRIMARY KEY, FOREIGN KEY, UNIQUE, NOT NULL等约束来保证数据完整性。 * **数据分析与聚合：** 运用SUM, COUNT, AVG, MAX, MIN等聚合函数，结合GROUP BY和HAVING子句进行复杂数据分析。 * **窗口函数：** 学习使用窗口函数进行高级分析，如计算运行总计、移动平均等。 * **高级SQL技术：** 掌握CTE（公共表表达式）以简化复杂查询，包括递归CTE用于处理层级数据。学习数据透视（pivot）和逆透视（unpivot）。 * **数据库设计与范式化：** 理解数据库设计原则和范式化技术，以及如何处理非范式化数据。 * **性能优化与查询调优：** 学习优化SQL查询性能，包括索引策略和查询执行计划的解读。 **课程特色：** * **实战导向：** 课程重点在于练习，通过讲解面试常见问题，提高学员在实际面试中的表现。 * **覆盖全面：** 内容紧扣数据科学岗位的SQL要求，从基础到高级应用一应俱全。 * **问题导向学习：** 课程通过大量实际面试问题（如CTE的应用、窗口函数的使用、UNION vs UNION ALL、事务与ACID、触发器等）引导学习，帮助学员消化吸收知识点。 **学习目标：** 通过本课程的学习，学员将能够自信地应对SQL相关的面试问题，熟练操作SQL，并具备数据库设计和性能优化的基础知识。
Course Description: In this comprehensive course, you will learn and practice SQL interview questions tailored specifically for Data Science roles. The course is designed to cover essential SQL topics and equip you with the skills needed to excel in your SQL-related interviews.Course Topics:SQL Basics and Syntax:Understand the fundamental SQL commands and syntax required for querying databases.Practice writing SELECT, FROM, WHERE, and ORDER BY clauses.Mastering joins (INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN) and subqueries.Data Manipulation and DDL:Learn how to manipulate data in SQL using INSERT, UPDATE, and DELETE statements.Understand Data Definition Language (DDL) for creating and modifying database structures.Work with constraints (PRIMARY KEY, FOREIGN KEY, UNIQUE, NOT NULL) to ensure data integrity.Data Analysis and Aggregation:Explore the power of SQL aggregations with SUM, COUNT, AVG, MAX, MIN, and other functions.Utilize GROUP BY and HAVING clauses to perform complex data analysis.Gain proficiency in window functions for advanced analytical queries.Advanced SQL Techniques:Master the art of writing complex queries with Common Table Expressions (CTEs).Dive into recursive CTEs for hierarchical data processing.Learn how to pivot and unpivot data for reporting and analysis.Database Design and Normalization:Grasp the principles of database design and normalization.Identify and apply normalization techniques to improve database efficiency.Handle denormalized data and understand trade-offs.Performance Optimization and Query Tuning:Optimize SQL queries for performance.Learn indexing strategies to speed up data retrieval.Interpret query execution plans for query optimization.Sample Questions:How do you use Common Table Expressions (CTEs) to simplify complex queries?What are window functions in SQL, and how are they used?Explain the differences between temporary tables, table variables, and CTEs.How do you handle hierarchical data using SQL?What is the difference between UNION and UNION ALL, and when would you use each?Explain the concepts of database transactions and ACID properties.How do you ensure data consistency and integrity in a multi-user database environment?How do you use the MERGE statement for performing insert, update, and delete operations in a single query?Explain the concept of database denormalization and when it might be appropriate to use it.What are triggers in SQL, and how do they work?How do you use window functions to calculate running totals and moving averages?Explain the differences between PRIMARY KEY, UNIQUE, and FOREIGN KEY constraints.What are recursive common table expressions (CTEs), and when would you use them?How do you use the LAG and LEAD functions to access data from previous and subsequent rows?Explain the purpose of the PARTITION BY clause in window functions. and many more[Enroll NOW]
