Power BI Desktop and Power BI Service essentials course that includes all you need to get started

Learn Microsoft Power Platform in one course which Includes all you need to get started

Learn the fundamentals of database design, development and querying using Microsoft SQL Server 2017

Discover strategies for mitigating disasters in machine learning pipelines, focusing on best practices for monitoring, validation, and error handling.

Understand strategies for identifying and mitigating risks in machine learning pipelines, ensuring robustness and reliability in ML applications.

Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.

Building and evaluating machine learning (ML) models is daunting, but correctly engineered models can provide millions of dollars in value. In this course, you'll learn to build and evaluate these tools, leveraging existing data science knowledge.

Understand the processes of building, validating, and optimizing predictive models for data-driven decision-making.

Learn what a Power BI semantic model is, which data loading approach to use, and how to build out your semantic model to get the insights you need.

The machine learning pipeline doesn’t end at just building the model. This course will teach you how to deploy your machine learning models as application programming interface (API) endpoints, and the maintenance required to support the model.

Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

Learn how to use Transact-SQL to insert, update, and delete data in a database.