Data analysis with STATA is designed to train course participants to be professional dataanalysts. It is designed for participants without or with very little experience using STATA, but itrequires basic knowledge on descriptive statistics. Course participants will learn how to “talk”to STATA, importing data to STATA, constructing a workflow in STATA, dealing with missingdata, data […]

R is a programming language and free software developed by Ross Ihaka and Robert Gentleman in 1993. R possesses an extensive catalog of statistical and graphical methods. It includes machine learning algorithms, linear regression, time series, statistical inference to name a few. Most of the R libraries are written in R, but for heavy computational […]

Introduction This course provides an application-oriented introduction to the statistical component of IBM SPSS Statistics. Students will review several statistical techniques and discuss situations in which they would use each technique, how to set up the analysis, as well as how to interpret the results. This includes a broad range of techniques for exploring and […]