Use data to make better choices through A/B testing, metrics, and statistical thinking
Learn to distinguish between metrics that look good and metrics that actually drive decisions
Understand when test results are real patterns versus random noise
Learn why ice cream sales and drowning deaths correlate, but ice cream doesn't cause drowning
Understand how sampling errors led to wrong election predictions and business decisions
Learn the basics of p-values and confidence intervals to make better data-driven decisions
Discover how the right chart reveals insights instantly while the wrong one obscures truth