Data Science with Microsoft Azure
- 25 courses
- 48 hours
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.
Courses 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.
Exploring Data in Microsoft Azure Using Kusto Query Language and Azure Data Explorer
- by Neeraj Kumar
- 2h 45m
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.
Preparing Data for Feature Engineering and Machine Learning in Microsoft Azure
- by Ravikiran Srinivasulu
- 2h 19m
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.