I will talk about recent advances in understanding what we can learn from quantum experiments. The talk starts with an overview of this subfield, including the central questions and connections to related fields. I will cover techniques and results researchers developed in the past few years, including randomized measurement toolbox, machine learning techniques, shadow tomography, and provable quantum advantage. The talk includes several open questions in this subfield and new research directions.