Mathematics and Statistics
Intro to Inferential Statistics will teach you how to test your hypotheses and begin to make predictions based on statistical results drawn from data!
In the course Intro to Inferential Statistics on Udacity, you will learn various techniques to estimate population parameters using confidence intervals, as well as how to estimate the effect of a treatment. You will also gain knowledge on hypothesis testing to determine if a treatment has changed the value of a population parameter. The course covers t-tests to test the effect of a treatment and compare the difference in means for two groups with small sample sizes. Additionally, you will learn about ANOVA to test for differences between three or more groups, correlation to describe and test the strength of a relationship between two variables, regression to understand the relationship between changes in variables, and chi-squared tests to compare and test frequencies for categorical data.
by Udacity
Intro to Inferential Statistics will teach you how to test your hypotheses and begin to make predict...
by Udacity
Learn the basics of deep learning and implement your own deep neural networks with PyTorch
by Udacity
Learn how to perform asynchronous requests as you build a web app with data from Google Street View,...
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This course will introduce you to the basics of AI. Topics include machine learning, probabilistic r...
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Learn to build a multiuser blog with Google App Engine that permits users to sign in
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Explore a variety of datasets, posing and answering your own questions about each. You'll be using t...
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by Udacity
This course provides a one-semester overview of information security. It is designed to help student...