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Análisis Exploratorio de Datos con Python

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Análisis Exploratorio de Datos con Python

Layla Scheli

Instructor: Layla Scheli

Included with Coursera Plus

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
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).

Details to know

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Taught in Spanish
No downloads or installation required

Only available on desktop

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  • Gain hands-on experience solving real-world job tasks
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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. Fundamentos del Análisis Exploratorio de Datos

  2. Conociendo nuestros datos a través de un EDA

  3. Análisis Univariado

  4. Opcional: Practice Activity - Ejercicio Distplot y Boxplot - Análisis Univariado

  5. Análisis Bivariado

  6. Análisis Multivariado

  7. Conociendo la librería de Pandas Profiling

  8. Opcional: Capstone - Análisis Bivariado y Multivariado

Recommended experience

Python funciones elementales y familiaridad con Jupyter Notebooks

8 project images

Instructor

Layla Scheli
Coursera Project Network
2 Courses226 learners

Offered by

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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