Statistics

Dear S4443 student, You are welcome: In this course you will learn the recent statistical packages as well as demonstrate methods for developing powerful, robust and reusable statistical data science…

This is an introductory course on the design and analysis of sample surveys. The course is intended for students from various disciplines. The course needs knowledge about elementary statistics and l…

This course aims to empower students with statistical tools using R, a popular choice in data analytics for statistical computing and graphics that is widely used in sciences and social sciences. The…

This is an introductory course in Statistics designed for students with no background in Statistics and with a limited background in mathematics. The topics to be covered include: basic concepts of d…

   This course reviews the population parameters and sample statistics and covers Multivariate distributions, Sampling distributions, Central Limit Theorem,  Methods for finding point estimators, Pro…

This course introduces the students to concepts of probability and probability distributions needed for the development of statistical techniques in following statistics courses. Topics covered inclu…

In this course we learn the multivariate methods so that we can easily describe and analyze multivariate data, including dimensionality data reduction methods. The course contents include an account …

This course includes an introduction to regression analysis, the concepts of the simple regression models, the concepts of the multiple regression models, criteria for the choice of the best model, t…

2.12.0.0

This course is intended to focus on building and understanding the concepts and procedures required to perform Bayesian analysis of real data. Definition of Bayesian statistics; Prior and posterior d…