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This online course provides a series of Python programming exercises intended to explore the use of numerical modeling in climate sciences. The scientific background for these...

This course addresses the modeling and analysis of static equilibrium problems with an emphasis on real world engineering systems and problem solving.

This online course program shows how to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets.

This online course teaches the fundamentals of asynchronous requests.

This online course gives an introduction to Generative Adversarial Networks (GANs), including their fundamental components and applications.

In this course, web developers will learn to implement the OAuth 2.0 framework to allow users to securely login to your web applications. OAuth 2.0 is a popular framework that...

This online course helps to understand the evolution of Alzheimer’s Disease through a molecular and genetic perspective and the contribution of a biological approach to the...

This online course teaches to predict financial crises, handle unfair trade practices and minimize risks when investing in emerging economies.

This MOOC digs deeper into core Android components, such as Activities, Broadcast Receivers, Intents, and Intent Filters. Participants will learn by example how to program these...

In this online course participants will get started working on their very first Progressive Web App - a web app that can take advantage of many of the features native...

This course focuses on data science in real life. It will contrast the ideal with what happens in real life. By contrasting the ideal, students will learn key concepts that will...

This online course teaches two frameworks for sign-up and authentication: Account Kit, which uses a phone number and code, and Facebook Login for iOS.

This course will derive equilibrium outcomes across a variety of market structures and will begin by understanding equilibrium under a market structure called Perfect...

Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical...

This course is an introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.

This course will provide an overview of many concepts, techniques, and algorithms in machine learning, from basic classification to decision trees and clustering.

This online Master’s Degree in Computer Science is offered by The University of Texas at Austin.

The Master of Computer Science program is designed for students with undergraduate degrees in computing or related areas.

This course, part 2 of a 2-course sequence, examines the history of rock, primarily as it unfolded in the United States, from the early 1970s to the early 1990s.

Focusing on the basics of machine learning and embedded systems, such as smartphones, this online course will introduce learners to the “language” of TinyML.