Fundamentals of Statistics

Develop a deep understanding of the principles that underpin statistical inference: estimation, hypothesis testing and prediction. -- Part of the MITx MicroMasters program in Statistics and Data Science.

Syllabus

Construct estimators using method of moments and maximum likelihood, and decide how to choose between them
Quantify uncertainty using confidence intervals and hypothesis testing
Choose between different models using goodness of fit test
Make prediction using linear, nonlinear and generalized linear models
Perform dimension reduction using principal component analysis (PCA)