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所在平台: Udemy |
课程主页: https://www.udemy.com/course/crack-sql-interview-200-questions-with-concept-building/
课程评论：没有评论
Coursera 数据库面试 SQL 必修课：200+ 题掌握 SQL 精髓，构建全方位数据库能力 本课程专为数据工程师、分析师、科学家、软件工程师、DBA 以及数据领域 aspiring professional 设计，旨在通过大量的实践和理论相结合，帮助学员熟练掌握 SQL，自信应对技术面试，并大幅提升数据库操作能力。 **核心学习领域包括：** * **SQL 基础到进阶：** 覆盖从基础语法到窗口函数、公用表表达式 (CTEs) 等高级特性。 * **复杂查询与优化：** 训练能够编写高效、优化的复杂 SQL 查询。 * **数据库设计：** 深入理解数据库设计原则，包括范式化和ERD。 * **性能调优：** 学习索引、执行计划分析等关键性能优化技术。 * **实战演练：** 通过真实世界 SQL 问题解决、案例研究和模拟面试，将理论付诸实践。 **课程涵盖的主要内容：** 1. **SQL 基础：** SELECT, WHERE, ORDER BY, LIMIT 等。 2. **数据操作：** INSERT, UPDATE, DELETE, MERGE。 3. **表操作：** CREATE, ALTER, DROP, TRUNCATE, 临时表。 4. **连接与关系：** 各类 JOIN, Self-joins, CROSS JOINs, NULL 值处理。 5. **子查询：** 关联与非关联子查询，ANY, ALL, EXISTS。 6. **聚合与分组：** Aggregate functions, GROUP BY, HAVING。 7. **高级 SQL：** 窗口函数, CTEs, 递归 CTEs, PIVOT/UNPIVOTData Types and Functions。 8. **数据类型与函数：** 数字、字符串、日期函数，CASE 语句。 9. **索引与性能：** 索引创建与使用，执行计划分析，性能瓶颈解决。 10. **事务与并发：** ACID 属性，事务隔离，死锁处理。 11. **视图与存储过程：** Views, Materialized Views, Stored Procedures。 12. **数据库设计：** 范式化，ERDs，约束。 13. **安全与访问：** 用户认证，角色，权限控制。 14. **处理大数据：** 分区，批量处理，大数据优化。 15. **SQL 在数据分析中：** 复杂分析查询，时间序列，A/B 测试。 16. **面试策略：** 问题拆解，实时优化，清晰沟通。 **课程目标：** * **提升技能：** 增强 SQL 熟练度，高效解决数据库问题，优化数据库性能。 * **收获职业优势：** 建立面试信心，在数据相关岗位中脱颖而出，加速职业发展。 * **最终目标**：使学员能够自信地应对 SQL 相关技术面试，并在数据行业中取得成功。 本课程以理论指导结合大量实战练习和面试模拟，确保学员全面掌握 SQL 知识，为在数据领域取得成功打下坚实基础。
Course Objective: Master SQL for technical interviews and enhance database proficiencyTarget Audience: Data Engineers, Analysts, Scientists, Software Engineers, DBAs, and aspiring data professionalsKey Learning Areas:Foundational to advanced SQL conceptsComplex query writing and optimizationDatabase design principlesPerformance tuning techniquesPractical Focus:Real-world SQL problem-solvingHands-on exercises and case studiesMock interview scenariosTopics Covered:Data manipulation (SELECT, INSERT, UPDATE, DELETE)Join operations and subqueriesWindow functions and Common Table Expressions (CTEs)Query optimization and execution plan analysisSkills Development:Efficient problem-solving approachesClear articulation of SQL solutionsWhiteboarding complex queriesCareer Benefits:Confidence in technical interviewsEnhanced SQL proficiency for various data rolesCompetitive edge in the job marketLearning Outcomes:Ability to tackle complex SQL challengesImproved database performance optimization skillsEffective communication of database conceptsCourse Delivery: Blend of theoretical instruction and practical applicationFinal Goal: Prepare students to excel in SQL-focused technical interviews and advance their careers in the data industryTopics Covered in the Course:1. SQL FundamentalsBasic SQL syntax and structureSELECT statements and data retrievalFiltering with WHERE clausesSorting results with ORDER BYLimiting result sets2. Data ManipulationINSERT statements for adding dataUPDATE statements for modifying existing dataDELETE statements for removing dataMERGE statements for upserts3. Table OperationsCREATE TABLE syntax and best practicesALTER TABLE for modifying table structuresDROP and TRUNCATE operationsTemporary tables and their uses4. Joins and RelationshipsINNER, LEFT, RIGHT, and FULL OUTER JOINsSelf-joins and their applicationsCROSS JOINs and Cartesian productsHandling NULL values in joins5. Subqueries and Nested QueriesCorrelated and non-correlated subqueriesSubqueries in SELECT, FROM, and WHERE clausesEXISTS and NOT EXISTS operationsComparing subquery results with ANY and ALL6. Aggregation and GroupingAggregate functions (SUM, AVG, COUNT, etc.)GROUP BY clauses for data summarizationHAVING clauses for filtering grouped dataDealing with NULL values in aggregations7. Advanced SQL TechniquesWindow functions for analyticsCommon Table Expressions (CTEs) for query readabilityRecursive CTEs for hierarchical dataPivoting and unpivoting data8. Data Types and FunctionsUnderstanding and using various SQL data typesDate and time functionsString manipulation functionsNumeric and mathematical functionsConditional expressions (CASE statements)9. Indexes and Performance TuningCreating and using indexes effectivelyUnderstanding query execution plansIdentifying and resolving performance bottlenecksStatistics and their impact on query optimization10. Transactions and ConcurrencyACID properties of transactionsTransaction isolation levelsHandling deadlocks and race conditionsOptimistic vs. pessimistic locking11. Views and Stored ProceduresCreating and managing viewsMaterialized views for performanceWriting and optimizing stored proceduresFunctions vs. stored procedures12. Database Design PrinciplesNormalization and denormalization techniquesEntity-Relationship Diagrams (ERDs)Primary and foreign key constraintsMaintaining data integrity13. Security and Access ControlUser authentication and authorizationRole-based access controlRow-level and column-level securityAuditing database activities14. Handling Large DatasetsPartitioning strategies for big tablesBatch processing techniquesOptimizing queries for large-scale dataIndexing strategies for big data15. SQL in Data AnalysisWriting complex analytical queriesCohort analysis techniquesTime series analysis in SQLA/B testing with SQL16. Interview StrategiesApproaching and breaking down complex SQL problemsOptimizing queries on the flyExplaining your thought process effectivelyHandling ambiguous requirements in interview questionsEach topic is covered in-depth with practical examples, real-world scenarios, and interview-style questions to ensure comprehensive understanding and application.
