Coursera Project Network
Análisis exploratorio de datos con Python y Pandas
Coursera Project Network

Análisis exploratorio de datos con Python y Pandas

Juan Pablo Yepes

Instructor: Juan Pablo Yepes

Included with Coursera Plus

Learn, practice, and apply job-ready skills with expert guidance
4.2

(13 reviews)

Beginner level

Recommended experience

1 Hora
Learn at your own pace
Hands-on learning
Learn, practice, and apply job-ready skills with expert guidance
4.2

(13 reviews)

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

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:

  1. Exploración inicial de datos

  2. Análisis Univariado

  3. Análisis Bivariado

  4. Tratando con filas duplicadas y valores faltantes

  5. 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

Juan Pablo Yepes
Coursera Project Network
1 Course950 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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Learner reviews

4.2

13 reviews

  • 5 stars

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5

Reviewed on Aug 14, 2024

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