Core Concepts:
Data collection, cleaning, and transformation.
Introduction to SQL and NoSQL databases.
Data pipelines and ETL processes.
Data warehousing with cloud platforms (Azure, AWS)
Tools:
SQL, Pandas, PySpark, Airflow, Databricks
Project:
Create an end-to-end ETL pipeline, ingesting and transforming a dataset from multiple sources.