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The Elements of Data Analytic Style (Edición Española)

Una guía para las personas que quieren analizar datos.

This book is a translation into Spanish of The Elements of Data Analytic Style which was originally written in English

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About

About

About the Book

El análisis de datos es, al menos en igual medida, arte y ciencia. Este libro se enfoca en los detalles del análisis de datos que a veces se pasan por alto en las clases y los libros de texto de estadísticas tradicionales. Se fundamenta en parte en las entradas de blog del autor, materiales de conferencias y tutoriales como:

El autor es uno de los co-desarrolladores de la especialización de Johns Hopkins en Ciencia de Datos, el programa de ciencia de datos más grande del mundo que ha matriculado a más de 1.76 millones de personas. El libro es útil como acompañante en los cursos introductorios de ciencia de datos o análisis de datos. También es una herramienta de referencia útil para las personas encargadas de leer y criticar análisis de datos.

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This book is a translation into Spanish of The Elements of Data Analytic Style which was originally written in English

Author

About the Authors

Jeff Leek

Jeff Leek es Profesor Asociado de Bioestadística y Oncología Médica en la Escuela de Salud Pública Bloomberg de Johns Hopkins. Su investigación se centra en la intersección del análisis de datos de alta dimensión, genómica y salud pública. Es coeditor del popular Blog Simply Statistics y codirector de la Especialización en Ciencia de Datos de Johns Hopkins, el programa de ciencia de datos más grande del mundo que ha inscrito a más de 1.76 millones de personas.

Leanpub Podcast

Episode 19

An Interview with Jeffrey Leek

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Contents

Table of Contents

1.Introducción

2.La pregunta analítica de los datos

3.Ordenando y limpiando los datos

4.Comprobando los datos

5.Análisis exploratorio

6.Modelado estadístico e inferencia

7.Predicción y aprendizaje automático

8.Causalidad

9.Análisis escritos

10.Creando figuras

11.Presentación de datos

12.Reproducibilidad

13.Algunos asuntos de forma

14.La lista de verificación del análisis de datos

15.Recursos adicionales

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