Data Science and Logic for independent learners.
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Potentially useful to a broad range of students, Argument Diagramming provides an introduction to exploring and understanding arguments. This course will explain what the parts of an argument are and how to break arguments into their parts and create diagrams to show how those parts relate to each other. Learn about Open & Free OLI courses by visiting the “Open & Free features” tab below.
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An introduction to causal and statistical reasoning, this course is meant for students interested in critical thinking skills for daily life, students who will take a few statistics courses in service of a related field of study, and/or students interested in the foundations of quantitative causal models: called Bayes Networks. Learn about Open & Free OLI courses by visiting the “Open & Free features” tab below.
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Introductory-level course teaches students the basic concepts of statistics and the logic of statistical reasoning. Designed for students with no prior knowledge in statistics, its only prerequisite is basic algebra. Includes a classical treatment of probability. Learn about Open & Free OLI courses by visiting the “Open & Free features” tab below.
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Introductory-level course teaches students the basic concepts of statistics and the logic of statistical reasoning. Designed for students with no prior knowledge in statistics, its only prerequisite is basic algebra. Learn about Open & Free OLI courses by visiting the “Open & Free features” tab below.