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Proyecto Práctico en Python: Dashboard interactivo de ventas
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Proyecto Práctico en Python: Dashboard interactivo de ventas

Udemy Instructor
4.75(546 students)
Self-paced
All Levels

About this course

En este curso aprenderás a construir dashboards interactivos con Dash, Plotly y Python, desde los fundamentos hasta una aplicación profesional completamente funcional. Dash es una biblioteca de Python creada por Plotly que permite desarrollar aplicaciones web de análisis de datos sin necesidad de escribir código en JavaScript, ideal para analistas, ingenieros de datos y científicos de datos. Comenzarás con la instalación de dependencias y la configuración del entorno, entendiendo cuándo usar Dash en comparación con herramientas como Streamlit o Power BI.

Aprenderás a crear tu primer proyecto base y la estructura fundamental de una aplicación Dash, usando componentes como html. Div, dcc. Graph, dcc.

Dropdown y dcc. DatePickerRange. Posteriormente, explorarás la carga y preprocesamiento de datos con Pandas: limpieza, normalización, creación de columnas derivadas para KPIs, y almacenamiento en CSV o MySQL.

Luego diseñarás el layout del dashboard, organizando secciones de encabezado, filtros, KPIs y gráficos, personalizando estilos con CSS o Bootstrap. La siguiente etapa aborda los callbacks, el corazón de Dash, donde aprenderás a conectar filtros y gráficos dinámicos. Implementarás visualizaciones con gráficos de barras, líneas, treemaps y mapas interactivos, además de tablas de resumen y KPIs actualizables en tiempo real.

Culminarás revisando el proyecto completo, ajustando la experiencia de usuario, exportando modelos y preparando el dashboard para su ejecución local o despliegue en entornos productivos. Este curso combina teoría, práctica guiada y ejemplos reales, brindándote las habilidades para construir aplicaciones analíticas interactivas con Dash y Plotly, integrando bases de datos, datos en tiempo real y visualizaciones avanzadas.

Skills you'll gain

Software EngineeringSpanish

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Level: All Levels

Suitable for learners at this level

Duration: Self-paced

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Instructor: Udemy Instructor

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This course includes:

  • 📹Video lectures
  • 📄Downloadable resources
  • 📱Mobile & desktop access
  • 🎓Certificate of completion
  • ♾️Lifetime access
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