From STAT 350 coursework to Python’s built-in statistics module, there’s a world of tools to help you understand data, probability, and inference. Whether you’re tackling descriptive stats, hypothesis ...

Foundations of Algebra emphasizes computing with whole numbers and fractions, decimals, and integers; solving word problems with whole numbers, fractions, decimals and integers; solving basic linear ...

A semester-long study of topics in Statistics. Topics and emphases will vary according to the instructor. This course may be repeated for credit with different topics. See the details in the schedule ...

Properties of estimators: unbiasedness, consistency, efficiency and sufficiency. Methods of estimation with particular emphasis given to the method of maximum likelihood. Hypothesis testing and ...

DTSA 5001 Probability and Foundations for Data Science and AI - Same as APPA 5001 DTSA 5002 Statistical Estimation for Data Science and AI - Same as APPA 5003 DTSA 5003 Statistical Inference and ...

The Statistical & Data Sciences (SDS) Program links faculty and students from across the college interested in learning things from data. At Smith, students learn statistics by doing—class time ...

Applied Statistics is the implementation of statistical methods, techniques, and theories to real-world problems and situations in several fields, such as science, engineering, business, medicine, ...

This course is compulsory on the MRes/PhD in Accounting (EoA) (Economics of Accounting Track) , MRes/PhD in Economics, MRes/PhD in Finance, MRes/PhD in Quantitative Economic History, MSc in Economics, ...

An introduction to computer programming and statistics for transforming, visualising and modelling data to discover information and support decision making. A practical approach to analysing New ...