Learn how to write a few lines of Python code, declare variables, and work with console input and output

Master the fundamentals of programming in Python. No prior knowledge required!

Learn to use Python for financial analysis using basic skills, including lists, data visualization, and arrays.

Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.

What makes quantum computing so special? Learn about the qubit, the building block of a quantum computer, and how Azure Quantum can help you write quantum algorithms using the quantum programming language Q#.

Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.

Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.

This module provides an introduction to using Red Hat solutions in Azure cloud environments. It covers key topics such as Red Hat Enterprise Linux (RHEL), Azure Red Hat OpenShift (ARO), and JBoss, guiding you through the process of migrating and modernizing your Linux workloads.

Get an introduction to regression models. In machine learning, the goal of regression is to create a model that can predict a numeric, quantifiable value.

Do you want to know how to start creating reports for Business Central? If so, this module will explain the different components that a typical report consists of.

Learn how to set up a Node.js API with multiple routes and handle incoming HTTP requests by using JavaScript. This module uses JavaScript (CommonJS) with the Express.js server framework in the Node.js runtime.

Begin your journey with Scala, a popular language for scalable applications and data engineering infrastructure.