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.
Análisis exploratorio de datos con Python y Pandas
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Análisis exploratorio de datos con Python y Pandas
Instructor: Juan Pablo Yepes
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Beginner level
Recommended experience
1 Hora
Learn at your own pace
Hands-on learning
What you'll learn
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
Skills you'll practice
Tools you'll use
Details to know
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Taught in Spanish
No downloads or installation required
Only available on desktop
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About this Guided Project
Learn step-by-step
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
Recommended experience
El estudiante deberá desenvolverse en el manejo elemental de Python, especialmente con conocimientos básicos en la librería Numpy.
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Instructor
1 Course1,130 learners
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How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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