A course that introduces unit testing and how it can be performed using Pytest in Python.

Microsoft Excel is among the tools professionals and analysts use most widely today. This course will take learners from a foundational knowledge of Excel to a more advanced level that empowers them to explore data within an appropriate framework. By the end of this program, students will be able to define basic and advanced statistical concepts, analyze datasets using Excel features, and build a regression model in Excel.

A course that builds a foundational understanding of Web Components. Web Components give us the power to extend the web with our own rich, standards-based components.

A course that goes over the basic concepts in web security, and gives a brief overview of the common and emerging web vulnerabilities.

A course that builds a foundational understanding of web security tools and best practices for developers.

A course that builds foundational knowledge of web servers and other topics related to servers.

An introduction to the concept of Web servers and how they are used to used to satisfy World Wide Web client requests.

An introduction to the concept of Websockets and how its used as a communication protocol in client-server communication.

This course covers the intermediate concepts of natural language processing like creating word embeddings, feature engineering and word embeddings for finding text features for model development.

Introduces participants the core concepts and tools to use Large Language Models (LLMs) in practice. Participants will learn the concepts underlying LLMs and what they can — and cannot — do.

Introduces participants to the Xarray project for manipulating multi-channel data (e.g., as occur commonly in geosciences, etc.). Participants practice using Xarray for data analysis extending techniques from Pandas & NumPy to high-dimensional labeled arrays.