EdX

Introducción a Ciencias de Datos y Estadística Básica para Negocios (edX)

Offered by Tecnológico de Monterrey, TecdeMonterreyX,

En este curso adquirirás los métodos estadísticos para la toma de decisiones en los negocios, así como herramientas tecnológicas para desarrollar habilidades cuantitativas. Áreas como el “big data” requieren un conocimiento muy claro de la estadística; en las áreas de negocios, la tecnología pone a nuestro alcance diversas aplicaciones que requieren una sólida formación en estadística para su correcto uso e interpretación.

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Este curso te permitirá desarrollar habilidades como un tomador de decisiones con base a las siguientes competencias:

análisis de elementos estadístico de la información
conceptos y fundamentos estadísticos para la aplicación del área de ciencia de datos.

Por medio de la estadística descriptiva, el estudio y análisis de distribuciones de probabilidad discreta y continua, así como la estimación por intervalos para la media y la proporción es como lograrás desarrollar ambas competencias.
This course is part of the Habilidades cuantitativas esenciales en finanzas, negocios y ciencia de datos Professional Certificate.

What you'll learn
A través de este curso los participantes podrán:

Aplicar métodos básicos estadísticos al entorno de los negocios
Utilizar herramientas tecnológicas para desarrollar habilidades cuantitativas
Interpretar los resultados de métodos estadísticos aplicados a los negocios

Syllabus

Tema 1: Estadística descriptiva
1.1 Tipos de datos; Escalas de medición; Organización de datos cualitativos y cuantitativos; Representación gráfica.
1.2 Medidas de tendencia central; Medidas de posición; Medidas de dispersión; Estadística descriptiva en tu laptop.
Tema 2: Distribuciones de Probabilidad Discreta
2.1 Variable aleatoria discreta; Funciones de densidad y de probabilidad acumulada; Media y varianza de una variable aleatoria discreta; Propiedades fundamentales.
2.2 Distribución Poisson; Distribución Binomial.
Tema 3: Distribuciones de Probabilidad Continua
3.1 Variable aleatoria continua; Funciones de densidad y de probabilidad acumulada; Media y varianza de una variable aleatoria continua; Propiedades fundamentales.
3.2 Distribución Uniforme; Distribución Normal.
Tema 4: Estimación por intervalos para la media y la proporción
4.1 Cálculo de Intervalos de confianza; Cálculo de tamaño de muestra necesario para un error de estimación dado.
4.2 Distribución t de Student.

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