Overview

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.

Skills

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