El curso "Fundamentos de Analítica de Datos Educativos" ofrece una comprensión básica y práctica del uso de la analítica de datos para mejorar la calidad educativa y optimizar las estrategias de enseñanza y aprendizaje. A través de cuatro módulos, los participantes se familiarizarán con los conceptos fundamentales, las técnicas de análisis, la implementación de estrategias basadas en datos, y las consideraciones éticas en el manejo de datos educativos.
Fundamentos de analítica de datos educativos
Gain insight into a topic and learn the fundamentals.
4.8
(17 reviews)
Beginner level
No prior experience required
6 hours to complete
Flexible schedule
Learn at your own pace
Skills you'll gain
- Spreadsheet Software
- Data Analysis
- Looker (Software)
- Strategic Decision-Making
- Data Ethics
- Data Visualization
- Surveys
- Analytics
- Data Visualization Software
- Personally Identifiable Information
- Higher Education
- Education Software and Technology
- Data-Driven Decision-Making
- Artificial Intelligence
- Data Collection
- Descriptive Analytics
- Information Privacy
- Ethical Standards And Conduct
- Data Management
Details to know
Shareable certificate
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Assessments
7 assignments
Taught in Spanish
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There are 4 modules in this course
Este módulo presenta los conceptos básicos de la analítica de datos educativos y su importancia en la educación superior.
What's included
5 videos4 readings1 assignment
En este módulo, los participantes explorarán herramientas y técnicas básicas de análisis de datos, como Excel y Looker Studio, para organizar y analizar los datos de manera eficiente y efectiva.
What's included
7 videos2 assignments
Este módulo se centra en la aplicación práctica de los resultados del análisis de datos, necesaria para diseñar e implementar intervenciones educativas estratégicas basadas en datos, abordando los desafíos y mejores prácticas para asegurar su efectividad y sostenibilidad.
What's included
5 videos1 reading2 assignments
El último módulo aborda las consideraciones éticas y normativas en el uso de datos educativos. Se discutirán estrategias para proteger la privacidad de los datos de estudiantes y docentes, así como el uso ético de la inteligencia artificial en la educación. Los participantes aprenderán sobre la importancia del consentimiento informado, la anonimización de datos, y la implementación de medidas de seguridad robustas.
What's included
4 videos2 readings2 assignments
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Instructor
Instructor ratings
5.0 (5 ratings)
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Learner reviews
4.8
17 reviews
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Showing 3 of 17
NF
4
Reviewed on Sep 30, 2024
Muy buena propuesta! Como sugerencia, podrían formularse con mayor precisión y menor ambigüedad las preguntas de la última evaluación en línea.
EN
4
Reviewed on Dec 20, 2024
Es un curso muy práctico y preciso. Te da la base para seguir explorando sobre la analítica de datos en el sector de la educación.
KS
5
Reviewed on May 16, 2025
Muy buena introducción sobre la analítica de datos aplicada a la Educación y pertienente el cierre con lo aspectos éticos e implicancias del uso de datos.
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