A statistics course shaped by your job: PM, analyst, researcher, or engineer who keeps reaching for an A/B test. Strive teaches the intuition first, the formulas second, and the recall queue keeps both.
Read a distribution and know what it’s telling you.
Use mean, median, std-dev, and quantiles without confusing them.
Run and interpret a t-test, χ² test, and a simple regression.
Reason about sample size, power, and what "statistically significant" really means.
Spot the classic mistakes in dashboards and A/B tests.
Pick the right tool for a question you actually have at work.
A typical Strive course on Statistics for analysts
Describing data — distributions and summaries4 lessons
Probability — just enough for the rest of the course3 lessons
Inference — confidence intervals and hypothesis tests5 lessons
A/B testing in practice4 lessons
Regression — fitting a line and what it’s really saying4 lessons
Common mistakes and how to spot them3 lessons
Demonstration outline — your course is generated around your answers, so module count, depth, and difficulty will differ from this. Across the 6 modules above there are 23 lessons.
Frequently asked
Frequentist or Bayesian?
Frequentist by default — that’s what most workplaces use. The wizard lets you switch to Bayesian, in which case the inference and A/B-testing modules are reframed accordingly.
Does it use Python / R for examples?
You pick during the wizard. Default is Python (pandas + scipy + statsmodels); R is available, and you can also opt for "no code, just intuition" if you want a non-technical course.
Ready to learn Statistics?
Tell us where you are today. AI builds your course in minutes — and the daily recall queue makes sure you keep what you learn.