Free Statistics & Probability Course

causal-inference-bootcamp-your-guide-to-experiments-16214
Causal Inference Bootcamp: Your Guide to Experiments
3.0
Youtube 7 learners
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This Causal Inference Bootcamp is a comprehensive guide to experiments. It covers the Perry Preschool Project, the London Cholera Outbreak, and the effects of giving property rights to squatters. It also covers reading average treatment effects and confidence intervals, and the effects of depression in OHE. This course will help you understand the fundamentals of causal inference and how to apply them to experiments.
an-introduction-to-probability-in-computing-16215
An Introduction to Probability in Computing
3.0
Swayam 28 learners
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This course provides an introduction to probability theory for computer science students. It covers the basics of probability, including random variables, distributions, and Bayesian inference. It also covers the application of probability theory to modern computer science topics such as machine learning, data mining, and artificial intelligence. Students will gain a better understanding of the role of probability in computing and be better prepared to tackle the challenges of modern computing.
accounting-for-death-in-war-separating-fact-from-fiction-16216
Accounting for Death in War: Separating Fact from Fiction
4.5
Futurelearn 30 learners
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This course will teach you how to accurately account for death in war. You will learn about the methods used to calculate war deaths, and apply them to particular wars. You will also debunk some widely circulated war-death claims and explore non-violent deaths caused indirectly by war. This course is suitable for anyone interested in war, history, politics, and the use and abuse of numbers and statistics.
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Statistical Inference for Estimation in Data Science
2.0
Coursera 44 learners
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This course introduces students to statistical inference, sampling distributions, and confidence intervals. Students will learn how to define and construct good estimators, method of moments estimation, maximum likelihood estimation, and methods of constructing confidence intervals. This course is part of the MS-DS degree offered on the Coursera platform, and is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics.
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