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This online course teaches how to develop an algorithm, read code and understand how programming concepts relate to algorithms.
This online course explores how to build foundational Cloud computing infrastructure, including websites involving serverless technology and virtual machines.
This MOOC explores important human parasitic diseases, including their life cycles, vectors of transmission, distribution and epidemiology, pathophysiology and clinical...
This online course will focus on the prolific and exciting overlap between socially engaged art and cultural practices generated by recent social movements around the world.
This course is an introduction to the discipline of statistics as a science of understanding and analyzing data. Students will learn how to effectively make use of data in the...
This online course explores how the American political system works, who the key actors are, and how citizens can influence politics.
This course will expand participants´ programming skill set to read and manipulate data with more complex structure. They will also write programs with more complex structure.
Copyright questions about different formats (data, images, music and video) can be especially difficult. This course will look at four different media, paying special attention...
Designed by artist and Duke University professor Pedro Lasch, and co-taught by Creative Time chief curator Nato Thompson, the course includes creative exercises and dozens of...
This online course (MOOC) is designed to teach learners the basic math they will need in order to master any data science math course. It was created for learners who have basic...
In this online course, participants will learn about fallacies. Fallacies are arguments that suffer from one or more common but avoidable defects: equivocation, circularity,...
In this online course (MOOC), participants will learn what an argument is. The definition of argument will enable students to identify when speakers are giving arguments and...
This online course gives an introduction to machine learning models (including logistic regression, multilayer perceptrons, convolutional neural networks, natural language...
This course lets students use their problem solving and Java programming skills by creating recommender systems. They will work with data on a topic such as books, movies or...
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