Learn Data Engineering
Free, hands-on courses with real SQL exercises. Master PostgreSQL, MySQL, ClickHouse and more - one day at a time.
PostgreSQL & Analytics Master Class
A hands-on, day-by-day course for data engineers. From SQL basics to advanced analytics patterns, window functions, and performance optimization.
Start Learning →ClickHouse Analytics Master Class
A hands-on, day-by-day course for data engineers. From SQL basics to MergeTree engines, window functions, funnel analysis, materialized views, and production operations.
Start Learning →Python for Data Engineers
A hands-on, day-by-day Python course for data engineers. From core language fundamentals to pandas, APIs, ETL pipelines, testing, Docker, FastAPI, and production-ready data applications.
Start Learning →dbt for Data Engineers
A hands-on, day-by-day dbt course for data engineers. From installation and first models to advanced patterns, testing, CI/CD, and production deployment — using dbt-core with PostgreSQL.
Start Learning →MySQL for Data Engineers
A hands-on, day-by-day MySQL course for data engineers. From SQL fundamentals and schema design to window functions, JSON, replication, ETL patterns, and production operations — using MySQL 8.0+.
Start Learning →Scala for Data Engineers
A hands-on, day-by-day Scala course for data engineers. From language fundamentals and functional programming to Apache Spark, streaming pipelines, and production-ready data applications.
Start Learning →Apache Airflow for Data Engineers
A hands-on, day-by-day Apache Airflow course for data engineers. From DAG basics and operators to sensors, XComs, dynamic DAGs, testing, deployment, and production-ready orchestration.
Start Learning →Apache Kafka for Data Engineers
A hands-on, day-by-day Apache Kafka course for data engineers. From cluster setup and producer/consumer basics to Kafka Streams, Connect, Schema Registry, and production-ready streaming pipelines.
Start Learning →PySpark for Data Engineers
A hands-on, day-by-day PySpark course for data engineers. From DataFrames and Spark SQL to streaming, Delta Lake, MLlib, performance tuning, and production-ready Spark applications.
Start Learning →Google BigQuery for Data Engineers
A hands-on, day-by-day BigQuery course for data engineers. From SQL fundamentals and nested data to partitioning, streaming, BQML, cost optimization, and production data warehousing on GCP.
Start Learning →Google Cloud Spanner for Data Engineers
A hands-on, day-by-day Cloud Spanner course for data engineers. From schema design and GoogleSQL to distributed transactions, Change Streams, performance tuning, and globally distributed databases.
Start Learning →SQL Advanced Analytics
A hands-on, day-by-day SQL analytics course. Master window functions, CTEs, funnel analysis, cohort retention, sessionization, attribution modeling, and real-world analytics patterns that work across PostgreSQL, ClickHouse, BigQuery, and MySQL.
Start Learning →MongoDB for Data Engineers
A hands-on, day-by-day MongoDB course for data engineers. From document model and CRUD to aggregation pipelines, change streams, PyMongo, Spark/Kafka integration, and production data architectures — all on the free Atlas M0 cluster.
Start Learning →Apache Spark Internals
A hands-on, day-by-day course on Apache Spark internals for data engineers. From architecture and execution model to Catalyst optimizer, shuffle, streaming, Delta Lake, and production deployment — understand how Spark really works.
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