The Elements of Data Analytic Style (Edición Española)
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The Elements of Data Analytic Style (Edición Española)

Una guía para las personas que quieren analizar datos.

Sobre este libro

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.

Este libro es una traducción al Español de The Elements of Data Analytic Style, que fue originalmente escrito en Inglés.

Sobre de los autores

Jeffrey Leek
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.

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Tabla de contenidos

  • 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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