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 a User-Centric Data Science Product featuring Katie Malone and Annie Darmofal at the 2019 Women in Analytics Conference.

A well-crafted exploratory data analysis research plan can make a big difference in a data scientist's work being implemented in their organization. In this course, you will learn the foundational components and how to deliver a successful analysis.

This course will teach you how to create an exploratory data analysis research plan to get started on the path to making the best data-driven decisions for your company.

This course will evaluate one of the largest changes from TensorFlow 1.0 to TensorFlow 2.0 – the tf.data module. This simplified and unified interface makes managing data pipelines easier with tf.data.

Organizations increasingly need someone to make sense out of all the “Big Data” they are generating. This course will teach you how to identify the signals hidden in your datasets and choose visualizations that tell compelling, interesting stories.

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.

The course enables the engineers/data scientist to build and deploy machine learning models into the Azure cloud, just by using Azure CLI commands.

With the right data model, you can build high-performing reports while reducing the complexity of DAX queries. This course teaches you how to enrich your data model by creating calculated columns and tables, set up the Q&A, and implement security.

Transform and load data, define semantic model relationships and calculations, create interactive visuals, and distribute reports using Power BI.

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.

AI is no longer science fiction or the exclusive domain of scientists. In this course, you will explore how to train and deploy custom AI models using Microsoft Azure Machine Learning Service.