You know how to find a dataset, and you have the tools to analyze that data. But apart from finding trends and outliers, how do you uncover what might be buried more deeply in the numbers. This 5-week module will equip you with statistical concepts — and their practical uses for journalists– to discover hidden connections in the data. Remember that phrase “Correlation is not Causation?” This module will turn it on its head by showing you how to calculate whether there is a correlation in the numbers and the strength of that correlation. You will also learn how to estimate the likelihood of an event based on previous events, and other concepts that a modern journalist should know how to tap.
Prerequisites: Data Journalism 1 (Spring semester)