Description

Bayesian Statistics is an online, self-paced course offered by Duke University's Department of Statistical Science as part of the Statistics with R Coursera Specialization. The course covers Bayesian inference, transforming prior probabilities into posterior probabilities with Bayes' rule, and practical modeling. Learners explore end-to-end analyses in R, credible regions, comparisons of means and proportions, Bayesian regression, multi-model inference, and prediction under the instruction of Duke faculty including Mine Çetinkaya-Rundel, David Banks, Colin Rundel, and Merlise Clyde.

Best for

data analysts, statisticians, learning Bayesian statistical modeling and implementing Bayesian inference in R

Description

IBM SPSS Statistics is a comprehensive statistical analysis platform designed to help organizations and individuals extract reliable insights from data. It combines advanced statistical testing, predictive modeling, regression, and forecasting with data preparation and automated analysis. Integrated AI capabilities such as the watsonx.ai AI Output Assistant translate complex results into plain-language explanations. The software serves diverse domains including marketing, sales, healthcare, academic research, and supply chain management, offering flexible subscription, perpetual, campus, and student licensing options.

Best for

Data professionals, Researchers, Statistical analysis and Predictive modeling

Description

This Plati.Market digital listing offers access to a Statista Premium account along with a usage tutorial. Statista provides access to a global statistics database and industry research reports covering numerous topics and data sources. Fulfillment is handled manually via chat and email within 24 to 48 hours after submitting a 16-digit verification code. Sales for this item are currently suspended.

Best for

Market researchers, Data analysts, Accessing industry reports and Researching global statistics