In this workshop, learn how to use machine learning to analyze the Deutsche Börse Public Dataset, which consists of trade data aggregated to one-minute intervals from the Tradex and Eurex engines, comprising a variety of equities, funds, and derivative securities. The public dataset provides initial price, lowest price, highest price, final price, and volume for every minute of the trading day, and for every tradeable security. Learn how to apply a variety of ML models to the data to find patterns and methods to predict price movements or identify trends in the market. Also learn how to interact with data staged for analysis in Amazon S3, use AWS Glue to transform data into analysis-ready formats, and use Amazon SageMaker and Amazon EC2 to experiment with a variety of ML models to derive insights from the data.