Data Engineering with SQL

Before data scientists can perform analytics, data typically must be aggregated, pre-processed, and stored in an appropriate environment from which it can be accessed. In this learn-by-doing, online course, students will learn and apply data preparation skills including data ingestion, processing, storage, and access using a variety of tools including SQL, Amazon Redshift, Amazon S3 and Amazon RDS. Students will work with data lakes and data warehouses in a cloud-based environment in which they will extract and transform data.