Product analytics

Description

Data sufficiency as an element in proper decision-making.
Building confidence intervals. Running A / B split tests and parsing common mistakes.
Modeling user behavior and why it’s important to segment your audience.
Forecasting and cohort analysis.
How to use maximum data for forecasts and what not to use when forecasting.