统计学家 在 R 中

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.

In this course, you'll learn about the concepts of random variables, distributions, and conditioning.

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.

Learn to perform linear and logistic regression with multiple explanatory variables.

Master sampling to get more accurate statistics with less data.

Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

In this course you'll learn about basic experimental design, a crucial part of any data analysis.

Learn survey design using common design structures followed by visualizing and analyzing survey results.

In this course you will learn to fit hierarchical models with random effects.

Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!

Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.

Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.

Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

Explore habitat data using factor and survival analysis tools.