Este curso te brinda herramientas pr谩cticas para entender el uso de datos en distintos tipos de organizaciones y as铆 tomar decisiones informadas aplicando pr谩cticas de aseguramiento de calidad, 茅ticas y con una perspectiva inclusiva con la informaci贸n 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 pr谩cticas Specialization
Instructor: Claudia Useche
Included with 
Gain insight into a topic and learn the fundamentals.
4.6
(19 reviews)
Beginner level
Recommended experience
2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Identificar las oportunidades que ofrece el an谩lisis de datos, tanto tradicional como big data, para las organizaciones p煤blicas y privadas.
Reconocer ejemplos de uso de los datos en organizaciones orientada al uso de datos (data-driven) y su relaci贸n con la cuarta revoluci贸n industrial.
Reconocer el proceso de Business Intelligence y su relaci贸n con los pasos de un proyecto de datos.
Identificar los tipos, enfoques, estrategias y procedimientos del an谩lisis de datos en big data y su relaci贸n con la resoluci贸n de problemas.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
9 assignments
Taught in Spanish
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This course is part of the Organizaciones data-driven: principios y pr谩cticas Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 3 modules in this course
En este m贸dulo realizaremos una breve introducci贸n al contexto y al papel indispensable que cumplen los datos para las organizaciones, tanto p煤blicas como privadas. Aprenderemos qu茅 significa ser una organizaci贸n data-driven y c贸mo distintos tipos de organizaciones est谩n usando datos para la toma de decisiones y resoluci贸n de problemas. Tambi茅n definiremos qu茅 es el big data y c贸mo se distingue de la anal铆tica de datos tradicional. Por 煤ltimo, discutiremos las oportunidades y desaf铆os del uso de datos para la gesti贸n p煤blica y el sector privado, en particular las mipymes.
What's included
6 videos11 readings3 assignments1 discussion prompt2 plugins
En este m贸dulo comenzaremos a explorar los elementos de cualquier proyecto de datos para la toma de decisiones. Aprenderemos sobre qu茅 implica el proceso de business intelligence en las organizaciones. Luego abordaremos c贸mo definir el problema, diferentes herramientas 煤tiles para hacerlo y las diferencias entre proyectos que usan anal铆tica tradicional de los que usan big data. Finalmente profundizaremos en el an谩lisis basado en big data y sus enfoques, tipos y estrategias.
What's included
3 videos9 readings3 assignments1 discussion prompt
En este m贸dulo aprenderemos sobre las fuentes de datos y c贸mo asegurarnos de obtener datos confiables y de calidad. Profundizaremos en las t茅cnicas de recolecci贸n de datos con un enfoque de g茅nero y diversidad y en c贸mo preparar los datos para un adecuado an谩lisis. Tambi茅n veremos la importancia de los datos abiertos y c贸mo pueden ser utilizados en la toma de decisiones.
What's included
4 videos10 readings3 assignments1 discussion prompt1 plugin
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
Offered by
Explore more from Data Analysis
Banco Interamericano de Desarrollo
Banco Interamericano de Desarrollo
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4.6
19 reviews
- 5 stars
63.15%
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Showing 3 of 19
TR
4
Reviewed on May 19, 2024
Muy bien y enfocado los dos primeros m贸dulos, considero mejorar el modulo 3
MH
5
Reviewed on Jun 24, 2024
Excelente curso, amplio contexto de la aplicaci贸n del Big Data
RI
4
Reviewed on Apr 15, 2025
Muy bueno como introducci贸n a los alcances del an谩lisis de datos
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