Programming Tools for Statistical Computing

Catalog description

. An introduction to statistical computing through freely available programming tools (R or Python-Pandas). Topics include: importing, exporting and manipulating data, basic data types and operations, vectors, arrays, matrices, lists, data frames, grouping, loops, conditionals, functions, simple and advanced graphics to visualize data and to generate plots/maps, packages/libraries for probability distributions, hypotheses testing and statistical models, writing reproducible reports of statistical analyses.