Data Engineering and BI Fundamentals: End-to-End Data Pipelines

Modern organizations rely on automated data pipelines to transform raw inputs into actionable business intelligence. This course guides you through foundational concepts and practical techniques required to engineer end-to-end data workflows from ingestion to interactive dashboards. What you will learn: Understand core terminology, architecture patterns, and data engineering principles. Containerize data services and isolated environments using Docker. Orchestrate automated data workflows and ETL pipelines with Apache Airflow. Query and store analytical data efficiently using ClickHouse. Design interactive business intelligence dashboards in Superset and DataLens. Apply fundamental data quality checks and workflow monitoring concepts. You will begin with basic definitions and system design concepts before progressing through written explanations and structured code snippets to build a complete data pipeline. This course is designed for beginners and aspiring data professionals with no prior data engineering background. Start reading today to build your core data pipeline skills.