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(14 reviews)
Recommended experience
Beginner level
El estudiante deberá desenvolverse en el manejo elemental de Python, especialmente con conocimientos básicos en la librería Numpy.
(14 reviews)
Recommended experience
Beginner level
El estudiante deberá desenvolverse en el manejo elemental de Python, especialmente con conocimientos básicos en la librería Numpy.
Aplicar técnicas prácticas de Análisis Exploratorio de Datos (AED) en cualquier conjunto de datos tabulares utilizando Python.
Producir visualizaciones de datos utilizando Seaborn y Matplotlib
Identificar y manejar datos duplicados y faltantes
Add to your LinkedIn profile
Only available on desktop
En este proyecto guiado obtendrás experiencia práctica trabajando con la librería Pandas y creando tu propio cuaderno de Jupyter Lab. Los conocimientos básicos que obtengas te permitirán trabajar con cualquier base de datos para analizar la información. Al final de este proyecto serás capaz de crear tus propios cuadernos con análisis estadísticos de diferentes bases de datos.
Nota: Este curso está dirigido a personas que buscan iniciarse en el mundo de la ciencia de datos o el machine learning.
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Exploración inicial de datos
Análisis Univariado
Análisis Bivariado
Tratando con filas duplicadas y valores faltantes
Análisis de correlación
El estudiante deberá desenvolverse en el manejo elemental de Python, especialmente con conocimientos básicos en la librería Numpy.
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Available only on desktop
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14 reviews
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Reviewed on Aug 14, 2024
Excelente curso, aprende mucho mas practicando, y este curso lo recomiendo al 100%
Tecnológico de Monterrey
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Coursera Project Network
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Coursera Project Network
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Universidad Nacional Autónoma de México
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