Welcome to the Azure Databricks for Beginners course designed for aspiring data engineers, ETL developers, students, and working professionals who want to build strong hands-on skills in Azure Databricks and PySpark from scratch. In this course, you will learn Azure Databricks step by step with practical examples, real-time scenarios, interview-focused concepts, and end-to-end ETL project implementation. The course starts with Databricks fundamentals including workspace setup, clusters, notebooks, compute options, workflows, and job execution concepts.
You will then build strong Python fundamentals required for PySpark development including strings, lists, tuples, sets, dictionaries, functions, lambda expressions, modules, and packages using real-time data engineering examples. The course also covers important Spark and PySpark concepts such as Spark Architecture, DAG, partitions, parallelism, lazy evaluation, transformations, actions, joins, aggregations, CSV processing, and PySpark UDFs.
