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Data Pipelines and SQL for Product Analytics · LearnSpace
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Data Pipelines and SQL for Product Analytics

Курс от Coursera
Средний≈ 11.1 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Learn to build complete data pipelines that transform raw event data into actionable insights using SQL and Pandas. You'll gain the skills to design efficient star schemas, implement Type-2 slowly changing dimensions for historical tracking, and optimize database performance for analytical workloads. This course uniquely combines hands-on experience with massive datasets (10+ million rows) and practical exposure to multiple SQL dialects including Presto and Spark. You'll benefit professionally by developing the core competencies that product analytics teams depend on daily - from data transformation and pipeline architecture to performance optimization. By completion, you'll confidently tackle real-world data engineering challenges and contribute immediately to business intelligence initiatives in product analytics roles.

Навыки, которые вы освоите

SQLData TransformationPandas (Python Package)Data PipelinesJSONPerformance TuningData ValidationStar SchemaData ManipulationData QualityExtract, Transform, LoadData WarehousingReal Time DataVerification And ValidationQuery LanguagesDatabase DesignApache AirflowBig DataPerformance Analysis

Программа курса

11 модулей · 73 учебных материалов

01ETL Pipeline Automation6 материалов
Why ETL Automation Transforms Data OperationsВидеоETL Pipeline Fundamentals for Event Stream ProcessingЧтениеApache Airflow ETL PipelineВидеоETL Pipeline Architecture Design SessionDIALOGUE

Учитесь у экспертов

Professionals from the Industry

Преподаватель курса

Data Pipelines and SQL for Product Analytics
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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 11.1 ч

11 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Корейский, Немецкий, Испанский, Японский

Часть программы вашего университета
Automated Event Stream ETL PipelineЛабораторная
ETL Pipeline Configuration Knowledge CheckЗадание
02 Event Data Compliance Validation6 материалов
Why Data Compliance Validation Prevents Analytics DisastersВидеоTracking Plan Compliance: Frameworks and ImplementationЧтениеMobile Event Schema Validation TechniquesЧтениеData Validation and Quality Assurance StrategyDIALOGUEMobile Event Compliance Validation Knowledge CheckЗаданиеMobile Event Tracking Compliance & Validation AssessmentЗадание
03Create Parameterized SQL Scripts for Daily Data Materialization7 материалов
Why Parameterized SQL Scripts Transform Data Analytics TeamsВидеоCore Components of Parameterized SQL Data TransformationЧтениеBuilding Your First Parameterized Script: Syntax and StructureВидеоStep-by-Step: Building a Customer Summary PipelineВидеоParameterized SQL Mastery - Your Data Pipeline Confidence CheckDIALOGUEBuild Your E-commerce Revenue PipelineЗаданиеParameterized SQL Pipeline Knowledge CheckЗадание
04Systematically Analyze and Optimize Query Performance8 материалов
Why Query Performance Optimization Transforms Data TeamsВидеоSystematic Performance Analysis: From Execution Plans to Optimization StrategiesЧтениеReading Execution Plans: Identifying Your Biggest BottlenecksВидеоDiagnosing and Fixing Slow Analytics Queries: A How-To GuideЧтениеPerformance Optimization Mastery - Your Query Efficiency Confidence CheckDIALOGUEOptimize Your Data Warehouse Query PerformanceЗаданиеQuery Performance Analysis Knowledge CheckЗаданиеSQL Performance Optimization Mastery AssessmentЗадание
05JSON Data Flattening - Foundation6 материалов
Why JSON Transformation Skills Matter in Data AnalyticsВидеоUnderstanding JSON Structure and Transformation FundamentalsВидеоJSON to DataFrame Transformation Patterns and Best PracticesЧтениеStep-by-Step JSON Flattening with pandas json_normalize()ВидеоTransforming Nested JSON DataDIALOGUEJSON Transformation Concepts and Implementation Knowledge CheckЗадание
06Timezone Offset Correction - Core Application8 материалов
Why Timezone Data Quality Matters for Production AnalyticsDIALOGUEUnderstanding Timezone Issues and Detection Strategies in Analytics DataВидеоSystematic Timezone Correction Techniques for Production DataЧтениеSystematic Timezone Correction Workflow Using Python and PandasВидеоTransform JSON & Fix Time DataЛабораторнаяDiagnose and Correct Timezone Inconsistencies in Global User Analytics DatasetЗаданиеTimezone Data Quality Analysis and Correction Techniques Knowledge CheckЗаданиеComprehensive JSON and Timezone Data Transformation Mastery AssessmentЗадание
07SQL Dialect Mastery for Cross-Platform Analytics6 материалов
Why SQL Dialect Mastery Defines Your Analytics CareerВидеоSQL Dialect Architecture: Understanding Cross-Platform VariationsЧтениеWindow Function Syntax Comparison: ANSI-SQL vs Spark-SQLВидеоTroubleshooting Cross-Platform SQL Migration IssuesЧтениеSQL Dialect Decision FrameworkDIALOGUESQL Dialect Mastery Knowledge CheckЗадание
08Advanced Event Data Aggregation Techniques8 материалов
Why Event Data Aggregation Drives Modern Analytics SuccessВидеоEvent Data Architecture: Streams, Storage, and Aggregation PatternsЧтениеPandas GroupBy Mastery for Event Data TransformationВидеоEvent Aggregation Architecture Decision FrameworkDIALOGUEMulti-Million Record Event Aggregation Pipeline ЗаданиеLab_Transform Data: SQL & Pandas MasteryЛабораторнаяEvent Data Aggregation Techniques Mastery CheckЗаданиеEnterprise Event Processing Mastery AssessmentЗадание
09Type-2 SCD Implementation - Foundation5 материалов
Why Historical Data Tracking Transforms Business AnalyticsВидеоUnderstanding Type-2 SCD Fundamentals and Implementation PatternsВидеоSCD Implementation Strategies and Best PracticesЧтениеProfessional Guide: Implementing Type-2 SCD with dbt Step-by-Step ConfigurationЧтениеType-2 SCD Implementation Knowledge CheckЗадание
10Star Schema Evaluation & Refinement - Core Application8 материалов
Why Star Schema Optimization Drives Business Intelligence SuccessВидеоStar Schema Evaluation Framework and Assessment MethodologiesЧтениеSchema Assessment Techniques: Performance Analysis and Bottleneck IdentificationВидеоStar Schema Assessment Tools - Analyzing Performance with SQL and dbtDIALOGUEOptimization Strategy Development: Prioritizing Schema RefinementsЧтениеComplete Star Schema Evaluation and Optimization Plan DevelopmentЗаданиеStar Schema Evaluation and Optimization Knowledge CheckЗаданиеStar Schema Optimization Strategy Comprehensive EvaluationЗадание
11Project: Data Pipelines and SQL for Product Analytics5 материалов
Why This Project MattersЧтениеProject RequirementsЧтениеGraded Assignment: Product Analytics Data PipelineЧтениеGraded Quiz: Data Pipelines and SQL for Product AnalyticsЗаданиеSolution KeyЧтение