Azure Machine Learning [ML] is a great tool for providing deep analytical data analysis and can provide a great learning environment to those people who are just getting started with learning machine learning concepts as well as those who want to deploy complex models created in R or Python. This session will introduce how to use Azure ML to process data in any part of your data environment, where data is either stored in the cloud or in an on-premise in SQL Server. If you are interested in learning data science, this session will show you how you can use Azure ML to help understand the different algorithm classifications of used in data science. This session will also cover the different methods of deploying a production solution with Azure ML which can scale to handle streaming or batch data processing requirements with and Azure Data Factory Deployment or handling a small sample set of data in Excel.