Customer Data Analytics with R

When you’re making product decisions, the hardest part is often separating real signal from noise. This course builds the statistical foundations behind customer analytics using R, with an emphasis on the methods PMs rely on to evaluate change: hypothesis testing, A/B testing, regression, and interpreting uncertainty correctly. The goal is not “become a data scientist” — it’s to become more reliable at reading experiments, challenging conclusions, and choosing what to do next based on evidence. Best for PMs and growth teams who want stronger quantitative judgment and more confidence working with experimentation results.