S:1 E:17
Analysis of Covariance and Multiple ANOVA
You can combine features of regression and ANOVA to perform what is called analysis of covariance, or...
S:1 E:3
Sampling and Probability
Study sampling and probability. See how sampling aims for genuine randomness in the gathering of data, and probability provides the...
S:1 E:24
Statistics Your Way with Custom Functions
Close the course by learning how to write custom functions for your R programs, streamlining operations, enhancing...
S:1 E:6
Covariance and Correlation
When are two variables correlated? Learn how to measure covariance, which is the association between two random variables. Then use...
S:1 E:2
Exploratory Data Visualization in R
Dip into R, which is a popular open-source programming language for use in statistics and data science. Consider...
S:1 E:5
Continuous and Normal Distributions
Focus on the normal distribution, which is the most celebrated type of continuous probability distribution. Characterized by a bell-shaped...
S:1 E:15
Multiple Linear Regression
Multiple linear regression lets you deal with data that has multiple predictors. Begin with an R data set on diabetes...
S:1 E:21
Spatial Statistics
Spatial analysis is a set of statistical tools used to find additional order and patterns in spatial phenomena. Drawing on libraries...
