Este curso práctico te proporcionará las habilidades esenciales para empezar a trabajar con la visualización de datos. Comenzarás dominando la librería Pandas para la gestión de datos tabulados. Luego, explorarás Matplotlib para crear y personalizar gráficos básicos, entendiendo sus componentes clave de formato. Finalmente, simplificarás la creación de gráficos estadísticos con la potente librería Seaborn. Todos los módulos se basan en el uso de fuentes de datos reales.
Visualización de datos con Python
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
3 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
La librería Pandas y como usar los Dataframes. Leer y escribir en ficheros de datos tabulados: Excel, csv.
Visualización de gráficas básicas con la librería Matplotlib.
Uso de gráficas para análisis estadístico con la librería Seaborn.
Representación de series temporales.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
December 2025
Assessments
76 assignments
Taught in Spanish
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There are 4 modules in this course
What's included
6 readings27 assignments27 plugins
What's included
2 readings22 assignments21 plugins
What's included
2 readings19 assignments18 plugins
What's included
3 readings8 assignments6 plugins
Instructor
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