Introduces statistics for business analytics from an analysis-of-data viewpoint. Topics include frequency distributions; measures of location (mean, median, mode); measures of dispersion; variance; graphic presentation; elementary probability; populations and samples; sampling distributions; categorical data; regression; correlation; and analysis of variance. Explores the use of statistical and data analysis software. Lab sessions emphasize hands-on application of probability and statistics and data problem solving using advanced analytic tools.