Python es un lenguaje fabuloso de programación, que nos ofrece muchas ventajas a la hora de utilizarlo como herramienta para el análisis exploratorio de datos. Realizar un EDA, es el primer paso que debemos de aplicar para tener un mayor entendimiento de nuestros datos y poder tener un contexto adecuado de la temática que estamos analizando.
Análisis Exploratorio de Datos con Python
Análisis Exploratorio de Datos con Python
Instructor: Layla Scheli
Access provided by RIA PAYMENT INSTITUTION
Learn, practice, and apply job-ready skills with expert guidance
Intermediate level
Recommended experience
1.5 horas
Learn at your own pace
Hands-on learning
What you'll learn
Uso de Python como herramienta para la realización de un EDA (Exploratory Data Analysis).
Skills you'll practice
- Statistical Analysis
- Box Plots
- Python Programming
- Pandas (Python Package)
- Software Installation
- Exploratory Data Analysis
- Data Visualization
- Data Analysis
- Histogram
- Scatter Plots
- Correlation Analysis
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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:
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Fundamentos del Análisis Exploratorio de Datos
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Conociendo nuestros datos a través de un EDA
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Análisis Univariado
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Opcional: Practice Activity - Ejercicio Distplot y Boxplot - Análisis Univariado
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Análisis Bivariado
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Análisis Multivariado
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Conociendo la librería de Pandas Profiling
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Opcional: Capstone - Análisis Bivariado y Multivariado
Recommended experience
Python funciones elementales y familiaridad con Jupyter Notebooks
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Instructor
2 Courses 357 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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