Data Mining Techniques: Predictive Analytics on Big Data
This course introduces applications and techniques for assaying and modeling large data. The course also presents basic and advanced modeling strategies, such as group-by processing for linear models, random forests, generalized linear models, and mixture distribution models. Students perform hands-on exploration and analyses using tools such as SAS Enterprise Miner, SAS Visual Statistics, and SAS In-Memory Statistics.Apprendre à
A qui s’adresse cette formation ?Business analysts, data analysts, marketing analysts, marketing managers, data scientists, data engineers, financial analysts, data miners, statisticians, and others who work in related fields
Before attending this course, you should have at least an introductory-level familiarity with basic statistics and linear models. Previous SAS software experience is helpful but not required.
Cette formation concerne SAS Enterprise Miner, SAS Visual Statistics, SAS In-Memory Statistics logiciel
|Titre||Durée||Période de validité||Langue||Prix||Panier|
|Data Mining Techniques: Predictive Analytics on Big Data (+ 25 virtual lab hours)||17.5 heures||180 jours à partir de la date d'achat||English||830 EUR|