Este curso te brinda herramientas prácticas para entender el uso de datos en distintos tipos de organizaciones y así tomar decisiones informadas aplicando prácticas de aseguramiento de calidad, éticas y con una perspectiva inclusiva con la información obtenida.
Uso de datos en las organizaciones del S.XXI
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Uso de datos en las organizaciones del S.XXI
This course is part of Organizaciones data-driven: principios y prácticas Specialization
Instructor: Juan Cristóbal Bonnefoy
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Gain insight into a topic and learn the fundamentals.
4.7
(18 reviews)
Beginner level
Recommended experience
15 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Identificar las oportunidades que ofrece el análisis de datos, tanto tradicional como big data, para las organizaciones públicas y privadas.
Reconocer ejemplos de uso de los datos en organizaciones orientada al uso de datos (data-driven) y su relación con la cuarta revolución industrial.
Reconocer el proceso de Business Intelligence y su relación con los pasos de un proyecto de datos.
Identificar los tipos, enfoques, estrategias y procedimientos del análisis de datos en big data y su relación con la resolución de problemas.
Skills you'll gain
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Assessments
9 assignments
Taught in Spanish
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This course is part of the Organizaciones data-driven: principios y prácticas Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 3 modules in this course
En este módulo realizaremos una breve introducción al contexto y al papel indispensable que cumplen los datos para las organizaciones, tanto públicas como privadas. Aprenderemos qué significa ser una organización data-driven y cómo distintos tipos de organizaciones están usando datos para la toma de decisiones y resolución de problemas. También definiremos qué es el big data y cómo se distingue de la analítica de datos tradicional. Por último, discutiremos las oportunidades y desafíos del uso de datos para la gestión pública y el sector privado, en particular las mipymes.
What's included
6 videos11 readings3 assignments1 discussion prompt2 plugins
En este módulo comenzaremos a explorar los elementos de cualquier proyecto de datos para la toma de decisiones. Aprenderemos sobre qué implica el proceso de business intelligence en las organizaciones. Luego abordaremos cómo definir el problema, diferentes herramientas útiles para hacerlo y las diferencias entre proyectos que usan analítica tradicional de los que usan big data. Finalmente profundizaremos en el análisis basado en big data y sus enfoques, tipos y estrategias.
What's included
3 videos9 readings3 assignments1 discussion prompt
En este módulo aprenderemos sobre las fuentes de datos y cómo asegurarnos de obtener datos confiables y de calidad. Profundizaremos en las técnicas de recolección de datos con un enfoque de género y diversidad y en cómo preparar los datos para un adecuado análisis. También veremos la importancia de los datos abiertos y cómo pueden ser utilizados en la toma de decisiones.
What's included
4 videos10 readings3 assignments1 discussion prompt1 plugin
Instructor
Offered by
Recommended if you're interested in Data Analysis
Universidad Austral
Universitat Autònoma de Barcelona
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