Data Science
Showing 337–348 of 1165 results
Design a model deployment solution
Learn how to design a model deployment solution and how the requirements of the deployed model can affect the way you train a model.
Design a Power BI application lifecycle management strategy
The use of OneDrive, Git repositories, and Power BI deployment pipelines allows us to follow application lifecycle management techniques. This reduces administrative overhead and provides continuity in the development process.
Design a semantic model in Power BI
The process of creating a complicated semantic model in Power BI is straightforward. If your data is coming in from more than one transactional system, before you know it, you can have dozens of tables that you have to work with. Building a great semantic model is about simplifying the disarray. A star schema is one way to simplify a semantic model, and you learn about the terminology and implementation of them in this module. You will also learn about why choosing the correct data granularity is important for performance and usability of your Power BI reports. Finally, you learn about improving performance with your Power BI semantic models.
Design and build tabular models
This learning path introduces the foundational components of designing scalable tabular models using Power BI. This learning path helps you prepare for the Azure Enterprise Data Analyst Certification.
Design Databases With PostgreSQL
Learn how to query SQL databases and design relational databases to efficiently store large quantities of data.
Design effective reports in Power BI
This learning path introduces a design process to design and deliver compelling Power BI reports. It begins by describing a proven design process created by leading report design experts. The process encompasses phases to understand the report users and their requirements, explore pleasing report designs, and develop reports all the way into production.
Designing Effective DML Triggers in SQL Server
Trigger your learning instincts and find out how to create and test AFTER and INSTEAD OF triggers in SQL Server. This course will teach you how to effectively write and use DML triggers in SQL Server.
Designing Machine/Deep Learning Models Using Azure CLI
The course enables the engineers/data scientist to build and deploy machine learning models into the Azure cloud, just by using Azure CLI commands.
Develop dynamic reports with Microsoft Power BI
Transform and load data, define semantic model relationships and calculations, create interactive visuals, and distribute reports using Power BI.
Develop your own custom copilots with Azure AI Studio
Generative Artificial Intelligence (AI) is becoming more accessible through easy-to-use platforms like Azure AI Studio. Learn how to build generative AI applications like custom copilots that use language models and prompt flow to provide value to your users.
Developing and Analyzing Statistical Models with R
This course serves as a comprehensive introduction to the R programming language.
Developing and Analyzing Statistical Models with R
This course serves as a comprehensive introduction to the R programming language.