Младший инженер данных в Databricks

Learn how to create and query relational databases using SQL in just two hours.

Accompanied at every step with hands-on practice queries, this course teaches you everything you need to know to analyze data using your own SQL code today!

Level up your SQL knowledge and learn to join tables together, apply relational set theory, and work with subqueries.

Master the complex SQL queries necessary to answer a wide variety of data science questions and prepare robust data sets for analysis in PostgreSQL.

Learn about the Databricks Lakehouse platform and how it can modernize data architectures and improve data management processes.

Learn Databricks SQL for data engineering, analytics, and real-time data workflows in the lakehouse architecture.

Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.

Discover the fundamentals of Git for version control in your software and data projects.

Explore the Databricks Lakehouse - from medallion architecture and clusters to governance, sharing, and deployment.

Learn data management in Databricks with Delta Lake, including ACID transactions, schema enforcement, and security.

Master PySpark to handle big data with ease—learn to process, query, and optimize massive datasets for powerful analytics!

Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.

Build end-to-end data pipelines - from cleaning and aggregation to streaming and orchestration.