Probability & Statistics
Showing 25–36 of 76 results
Foundations of Inference in Python
Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.
Foundations of Inference in R
Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.
Foundations of Probability in Python
Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.
Foundations of Probability in R
In this course, youll learn about the concepts of random variables, distributions, and conditioning.
Fundamentals of Bayesian Data Analysis in R
Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.
Generalized Linear Models in Python
Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.
Generalized Linear Models in R
The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.
Hierarchical and Mixed Effects Models in R
In this course you will learn to fit hierarchical models with random effects.
Hypothesis Testing in Python
Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.
Hypothesis Testing in R
Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.
Inference for Categorical Data in R
In this course youll learn how to leverage statistical techniques for working with categorical data.
Inference for Linear Regression in R
In this course youll learn how to perform inference using linear models.