Introducción a Ciencias de Datos y Estadística para Negocios

This module introduces the fundamentals of descriptive statistics for business applications. It covers data types, measurement scales, and methods for organizing qualitative and quantitative data with graphical representations. Students will learn to calculate and interpret central tendency measures, position measures, and dispersion measures while developing practical skills using statistical software on their laptops.

This module explores discrete probability distributions essential for business decision-making. It covers the concepts of discrete random variables, probability density and cumulative distribution functions, and methods for calculating mean and variance. Students will gain practical experience working with important business-relevant distributions including the Poisson distribution for rare events and the Binomial distribution for success/failure scenarios.

This module examines continuous probability distributions and their applications in business analytics. It covers continuous random variables, density and cumulative distribution functions, and techniques for calculating mean and variance. Students will develop proficiency with key distributions including the Uniform distribution for modeling equal likelihood scenarios and the Normal distribution for analyzing natural variation in business processes.

This module focuses on interval estimation techniques for means and proportions in business contexts. It covers confidence interval calculations and methods for determining necessary sample sizes to achieve desired estimation accuracy. Students will learn to apply the Student's t-distribution for small sample scenarios and develop skills in statistical inference that support data-driven business decisions.