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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 course describes Bayesian statistics, in which one's inferences about parameters or hypotheses are updated as evidence accumulates. Participants will learn to use Bayes’...
This online course gives an introduction to machine learning models (including logistic regression, multilayer perceptrons, convolutional neural networks, natural language...
This MOOC gives an introduction to Behavioral Finance, which is the study of financial decision-making errors that can be avoided, if participants in markets are familiar with...
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, participants will learn how to evaluate deductive arguments for validity. In particular, they will learn new ways of representing the information that is...
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.
This online course explores the 9/11 terror attacks as well as the broader phenomenon of modern terrorism.
This online course focuses on behind the scenes of image and video processing, from the basic and classical tools to the most modern and advanced algorithms.
This course introduces learners to sampling and exploring data, as well as basic probability theory and Bayes' rule. Participants will examine various types of sampling methods,...
This online course teaches how to develop an algorithm, read code and understand how programming concepts relate to algorithms.
This online course gives an introduction to laws and regulations applicable to FinTech firms operating in the U.S..
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