Transform your data engineering capabilities with this comprehensive specialization that covers the entire analytics pipeline from data ingestion to actionable insights. You'll learn automated ETL processes, optimize SQL performance for large-scale data operations, implement dimensional modeling with star schemas, and create interactive dashboards that drive business decisions. This specialization uniquely combines technical pipeline engineering with advanced user analytics, teaching you to build robust data infrastructure while extracting meaningful patterns from user behavior through clustering, retention analysis, and funnel optimization to deliver measurable business impact.
Praktisches Lernprojekt
Throughout this specialization, you'll build production-ready data pipelines using Apache Airflow and Kafka, optimize complex SQL queries for performance, implement Type-2 slowly changing dimensions in star schemas, and create interactive dashboards with real-time analytics. Projects include designing automated ETL workflows, transforming nested JSON data, building dimensional models with dbt, and applying k-means clustering for user segmentation to solve authentic business challenges in data engineering and analytics.
