- Learning Path Libraries: This path is only available in the libraries listed. To access this path, purchase a license for the corresponding library.
- AI
- Cloud
- Data
Data Science with Microsoft 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.
Content in this path
Bringing Data Science to the Business
The courses in this section teach you how data science fits into a business, and addresses legal and ethical issues that arise in data science. In addition, this part of the path discusses the role of effective communication as part of the data science workflow.
Preparing Data for Analysis and Modeling
This section teaches you how to source, clean, and shape your data for further analysis in Microsoft Azure.
Building Statistical Models in Microsoft Azure
The courses in this section apply descriptive and inferential statistics to data using Microsoft Azure.
Exploring and Modeling Data in Microsoft Azure
This part of the path teaches how to leverage Azure services as part of everyday data science, including the use of notebooks, data exploration tools, and model building.
Feature Engineering in Microsoft Azure
Data must be represented in a manner appropriate for the analysis or model being used. This part of the path addresses feature engineering and feature extraction on Microsoft Azure.
Building and Deploying Models in Microsoft Azure
Finally, this section of the skill addresses operational aspects of your data models, such as deploying them for use in Microsoft Azure, monitoring and evaluating their effectiveness, and communicating their insights back to the business.
- ###What you will learn###
- Address the business requirements for a data science projects
- Source, collect, and transform data into shapes appropriate for data modeling and machine learning
- Extract features from complex data sources, such as documents and images
- Build and interpret statistical and machine learning models
- Glean insights from data, and communicate them back to the business
- This path is intended for learners familiar with data science workflows and general principles, but who have never applied these on Microsoft Azure.
- Data Science
- Microsoft Azure
- Statistical Analysis
- Machine Learning
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