Este curso te proporcionará las bases del lenguaje de programación estadística R, la lengua franca de la estadística, el cual te permitirá escribir programas que lean, manipulen y analicen datos cuantitativos. Te explicaremos la instalación del lenguaje; también verás una introducción a los sistemas base de gráficos y al paquete para graficar ggplot2, para visualizar estos datos. Además también abordarás la utilización de uno de los IDEs más populares entre la comunidad de usuarios de R, llamado RStudio.
Introducción a Data Science: Programación Estadística con R
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Introducción a Data Science: Programación Estadística con R
Instructor: Carlos Ernesto López Natarén
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4.7
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No prior experience required
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Approx. 46 hours
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There are 5 modules in this course
Una pequeña introducción a lo que veremos en el curso y la instalación de las herramientas a usar en él, tanto para sistemas operativos Windows, Linux y Mac OS.
What's included
9 videos2 readings
En esta primera semana, tendrás tus primeros pasos en el lenguaje, entenderás que son los objetos, las clases, los tipos de datos y podrás leer y escribir datos a distintas fuentes y tipos de archivos.
What's included
10 videos4 programming assignments
En esta semana, aprenderás a utilizar las estructuras de control para agilizar tareas repetitivas, a crear funciones para llevar a cabo tareas específicas o complejas, las reglas de alcance, el manejo de las fechas y variables de fechas, la importancia de utilizar operaciones vectorizadas para hacer tu código más rápido, por qué es importante escribir código con un buen estilo.
What's included
5 videos1 programming assignment
En esta semana primero conocerás una familia de funciones vectorizadas, las cuales te permitirán efectuar operaciones con muy pocas líneas de código, después conocerás el sistema de gráficos y las funciones que permiten realizar modificaciones en él.
What's included
9 videos6 programming assignments
Ensta última semana aprenderás sobre expresiones regulares y cómo utilizarlas con R, graficarás con el paquete de gráficos ggplot2, entenderás cómo encontrar errores y arreglarlos y llevarás a cabo simulación.
What's included
5 videos1 reading3 programming assignments
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4.8 (2,351 ratings)Offered by
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Johns Hopkins University
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Pontificia Universidad Católica de Chile
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