Advanced Statistics for Data Science Specialization

Data science is built upon fundamental concepts in statistics, probability, and linear modeling. This specialization will provide the foundational knowledge necessary to help students become data scientists and biostatisticians. This specialization will allow the learner to gain an understanding of the workings of data science tools such as least squares or linear regression. This specialization begins with Mathematical Statistics bootcamps. It focuses on concepts and methods used for biostatistics applications. These include probability, distribution, likelihood concepts, hypothesis testing, and case-control sampling. This specialization includes linear models for data science. It covers understanding least squares from both a mathematical and linear algebraic perspective to statistical linear models using R programming language. These courses will provide a solid foundation in linear algebraic regression modeling. This will enhance the knowledge of applied data scientists about regression models. This specialization requires some mathematical proficiency. To engage in this content, you will need to know basic calculus and linear algebra.