Business analytics connects your data skills to the decisions a company actually has to make. It starts with knowing which numbers matter: the difference between a metric and a KPI, and how to tie measurements to a business goal.
This module also introduces A/B testing, the standard way to find out whether a change really makes a difference. You'll learn how experiments are designed, how hypothesis testing, p-values, and statistical significance are used to compare two groups, and how to work through a complete A/B test case study.
Once you can measure performance and test ideas, you'll be ready for the final module, Storytelling & Career Prep, where you learn to present your findings and prepare for a data analyst role.
A short lesson on what KPIs and metrics are and the difference between them.
How data analysts should think about business metrics, and the common mistakes people make when working with them.
A quick tutorial on the basics of A/B testing and why businesses use it.
A comprehensive walkthrough of an A/B testing example, covering how to design experiments, run them, and interpret the results.
An applied data science crash course on A/B testing, from the core concepts to the practical details, finishing with a case study.