// Sta­tis­ti­cal methods, models and tech­ni­cal terms

Data Science Glossary

A glos­sa­ry for sta­tis­ti­cal methods and ter­mi­no­lo­gy is an indis­pensable tool for anyo­ne invol­ved in sta­tis­ti­cal ana­ly­sis and data pro­ces­sing. This glos­sa­ry aims to make com­plex con­cepts and ter­mi­no­lo­gies in the world of sta­tis­tics under­stan­da­ble and acces­si­ble. It pro­vi­des clear defi­ni­ti­ons, expl­ana­ti­ons, and examp­les for a varie­ty of sta­tis­ti­cal methods, models, and terms.

In this glos­sa­ry, you will find expl­ana­ti­ons of basic con­cepts such as mean, medi­an, and stan­dard devia­ti­on, as well as advan­ced topics such as regres­si­on ana­ly­sis, hypo­the­sis test­ing, and Baye­si­an sta­tis­tics. It pro­vi­des a com­pre­hen­si­ve resour­ce to avo­id con­fu­si­on and ensu­re that you under­stand and effec­tively use the lan­guage of sta­tis­tics.

// Who we are

About StatSoft

Stat­Soft con­sists of more than 50 moti­va­ted spe­cia­lists in the data sci­ence indus­try, dis­tri­bu­ted across the loca­ti­ons in Ham­burg at Stat­Soft (Euro­pe) and Kra­kow in Pol­and at Stat­Soft Pol­ska. They use their exten­si­ve know­ledge and skills every day to always offer cus­to­mers the right solu­ti­on with the help of data. In doing so, we are and always will be com­mit­ted to inno­va­ti­ve deve­lo­p­ment and con­ti­nuous lear­ning.