What you'll learn

Working with data means working with variability, but without a clear understanding of probability distributions, it's easy to misinterpret patterns, miscalculate probabilities, or apply statistical methods that assume the wrong underlying model.

In this course, Understanding Data Distributions, you'll gain the ability to recognize, interpret, and apply the most common probability distributions used in real data work.

First, you'll explore what probability distributions are and dive into the normal distribution, including the empirical rule and z-scores.

Next, you'll discover three other key distributions - binomial, Poisson, and uniform - and learn when each one applies.

Finally, you'll learn how the central limit theorem works and why it underpins so much of practical statistical analysis.

When you're finished with this course, you'll have the skills and knowledge of probability distributions needed to reason more confidently about data and build a stronger foundation for the statistical methods that come next.