Ethics in Algorithms Panel featuring Cathy O'Neil, Emily Schlesinger, Nicole Alexander, and Rehgan Avon at the 2019 Women in Analytics Conference in Columbus, OH.

Evaluate possible changes to indexes. Determine the impact of changes to queries and indexes. Explore Query Store hints.

Evaluating copilots is essential to ensure your custom copilots meet user needs, provide accurate responses, and continuously improve over time. Discover how to assess and optimize the performance of your custom copilot using the tools and features available in the Azure AI Studio.

DP-500 Exam for Microsoft Power BI (advanced); Azure enterprise data analyst

A look at the analytics capabilities in the core Excel product and its add-ins, including PowerPivot, Power View, "Data Explorer" and "GeoFlow," as well as an investigation into how to use these tools together.

Test your Excel knowledge

Take your Excel skills to the next level by learning how to sort, filter, and pivot data.

This course covers the important design choices that a data professional must make while leveraging pre-trained models using Transfer Learning. It also covers the implementation aspects of different Transfer Learning approaches in PyTorch.

Learn how to find the best model with automated machine learning (AutoML) and by experimenting in notebooks.

Study the methods of experimental design and personalized recommendations in data science.

This course covers conceptual and practical aspects of building and evaluating machine learning models in a way that uses data judiciously, while also accounting for considerations such as ordering and relationships within data and other biases.

Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!