Designing and Implementing a Data Science Solution (Live Online)

Designing and Implementing a Data Science Solution on AzureGain the necessary knowledge about how to use Azure services to develop, train, and deploy, machine learning solutions. The course starts with an overview of Azure services that support data science. From there, it focuses on using Azure's premier data science service, Azure Machine Learning service, to automate the data science pipeline. This course is focused on Azure and does not teach the student how to do data science. It is assumed students already know that.Audience profileThis course is aimed at data scientists and those with significant responsibilities in training and deploying machine learning models.PrerequisitesBefore attending this course, students must have:Azure Fundamentals Understanding of data science including how to prepare data, train models, and evaluate competing models to select the best one.How to program in the Python programming language and use the Python libraries: pandas, scikit-learn, matplotlib, and seaborn.Course OutlineModule 1: Doing Data Science on AzureModule 2: Doing Data Science with Azure Machine Learning serviceModule 3: Automate Machine Learning with Azure Machine Learning serviceModule 4: Manage and Monitor Machine Learning Models with the Azure Machine Learning service