- Certification Path Libraries: This path is only available in the libraries listed. To access this path, purchase a license for the corresponding library.
- Cloud
Microsoft Azure (DP-100): Designing and Implementing a Data Science Solution on Azure
Microsoft Azure offers a set of related services to address the day-to-day workflow of a data scientist. This skill teaches how these Azure services work together to enable various parts of this workflow. This path is designed to address the Microsoft DP-100 certification exam.
Content in this path
Path Courses
This course is intended for learners familiar with data science workflows and general principles, but who have never applied these on Microsoft Azure
- Set up an Azure Machine Learning Workspace - Optimize and Manage Models - Experimental Design for Data Analysis - Build optimal models With Azure Automated ML - Create and publish pipeline for batch inferencing with Azure
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Build confidence to ace your certification exam with a variety of prep tools, including video courses, labs, and practice exams.
What You'll Learn
- This course is designed to help you master the skills needed to pass the Microsoft DP-100 exam, focusing on designing and implementing data science solutions on Azure. You'll gain experience with key topics such as data exploration, model training, and deployment using Azure Machine Learning.
- This path is intended for learners familiar with data science workflows and general principles, but who have never applied these on Microsoft Azure
- Set up an Azure Machine Learning Workspace
- Optimize and Manage Models
- Experimental Design for Data Analysis
- Build optimal models With Azure Automated ML
- Create and publish pipeline for batch inferencing with Azure
- Data Science
- Machine Learning
- Microsoft Azure
- Statistical Analysis
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