Designing and Implementing a Data Science Solution on Azure (DP-100)

Prepare for the official Microsoft Azure Data Scientist Associate certification exam DP-100 in this Designing and Implementing a Data Science Solution on Azure course. Gain 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. You Will Learn How To: Use Azure to services to develop machine learning solutions Deploy machine learning models Automate Machine Learning with Azure Machine Learning service Manage and Monitor Machine Learning Models with the Azure Machine Learning service Requirements Before attending this course, students must have: Azure Fundamentals knowledge. An understanding of data science including how to prepare data, train models, and evaluate competing models to select the best one. Python programming language experience and use the Python libraries: pandas, scikit-learn, matplotlib, and seaborn. Who Should Attend This Course This course is aimed at data scientists and those with significant responsibilities in training and deploying machine learning models. Microsoft Exam Information This course can help you prepare for the following Microsoft role-based certification exam — DP-100: Designing and Implementing a Data Science Solution on Azure