Introduction to Statistics offered by Stanford University
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About this Course
In this course, you will be able to perform exploratory data analysis, understand key sampling principles, and select appropriate tests of significance for a variety of contexts. You will learn the fundamental skills required to pursue more advanced topics in statistical thinking and machine learning.
Instructor
Guenther Walther
Professor of Statistics
Department of Statistics
Offered by
Stanford University
Syllabus
Introduction and Descriptive Statistics for Exploring Data
Producing Data and Sampling
Probability
Normal Approximation and Binomial Distribution
Sampling Distributions and the Central Limit Theorem
Regression
Confidence Intervals
Tests of Significance
Resampling
Analysis of Categorical Data
One-Way Analysis of Variance (ANOVA)
Multiple Comparisons
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