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This course has been created by the Microsoft World Wide Learning team to support the exam DP-100: Designing and Implementing a Data Science Solution on Azure.
The growth of data in all areas of business has made data science a crucial area of expertise. Today, businesses need data science experts to turn their data into insights and use it to answer important questions. To do this, data science uses powerful technology to analyse complex data and build solutions.
This course will present and explain the premier technology used to deliver data science solutions: Microsoft Azure. It’s your gateway to learning more about the support Microsoft Azure brings to data science.
You will learn about the data science process and how Microsoft Azure services support it. You will be introduced to a high-level overview of Azure data science related services followed by a deep dive on the premier data science service, Azure Machine Learning service, which supports automation of machine learning model training and deployment.
The audience for this course is aspiring data scientists and those whose job responsibilities primarily fall into the area of data science.
Overview
Syllabus
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- Course Introduction
- About this Course
- Data Science
- The Data Science Process
- Azure and Data Science
- Cloud-based and On-premises Machine Learning
- Wrapping up the Week
- Data Science on Azure
- Development platforms and tools
- Introduction to Data Science with Azure Notebooks
- CloudSwyft Hands-On Lab 1
- Introducing the Azure Machine Learning (AML) Service
- Training Machine Learning Models
- Wrapping Up the Week
- Azure Machine Learning Service
- Registering and Deploying Models
- CloudSwyft Hands-On Lab 2
- Automating Model Selection with AML Service
- CloudSwyft Hands-On Lab 3
- Managing and Monitoring Models with AML Service
- Wrapping Up the Course
