This intensive 4-day hands-on course is designed to teach attendees how to use AWS features to perform data analysis in the Amazon AWS environment. Each module is complemented with a hands-on lab giving attendees practical experience with the topics covered. Day one focuses on data analytics basics, including data acquisition, scrubbing, manipulation, and storage. A number of practical use cases are examined during class and lab sessions where students will gain exposure to S3, Glue, and other tools. Day two focuses on data warehousing tools, introducing attendees to Red Shift, the Hive MetaStore and the Presto high-performance query engine as well as powerful Athena automated and Kinesis streaming query services.