Statistical Analysis and Modeling in R: Working with Probability Distributions

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“Interpreting data is a core pre-processing step in data analysis and modeling. Use this course to practice using various dynamic statistical tools to explore and understand your data.

During this course you ll explore population distributions to model random variables work with discrete and continuous probability distributions and use discrete probability distribution types such as the uniform binomial and Poisson distributions.

You ll also examine continuous distributions such as the normal and the exponential distributions.

You ll round the course off by learning how to read and interpret QQ plots which can be used to compare the distributions of two samples of data.

When you re finished you ll be able to use probability distributions to model events and understand your data.”