Estimation Theory is a branch of statistics and signal processing that focuses on determining the values of parameters based on measured/empirical data. It is crucial for making inferences in situations where data is incomplete or subject to noise, often using methods like Maximum Likelihood Estimation or Bayesian Estimation to derive the best possible estimates.