La anal铆tica de datos ha avanzado considerablemente en los 煤ltimos a帽os y ahora existen diversas herramientas que nos permiten realizar tareas o procesos que antes eran complicados de realizar. Gracias a su versatilidad, el lenguaje de programaci贸n Python posee una serie de librer铆as que permiten realizar proyectos de anal铆tica de datos de una forma muy sencilla y una de las librer铆as m谩s populares es Pandas.
Anal铆ticas de Datos con Pandas
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Anal铆ticas de Datos con Pandas
Instructor: Jesus Aguilar Gonzalez
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24 hours to complete
3 weeks at 8 hours a week
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15 assignments
Taught in Spanish
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There are 4 modules in this course
En este primer tema nos enfocaremos a entender c贸mo instalar y preparar todo para utilizar la librer铆a Pandas y aprenderemos los elementos fundamentales de la librer铆a; adem谩s, conoceremos un poco de la historia de esta librer铆a y el porqu茅 es tan popular.
What's included
2 videos13 readings4 assignments1 discussion prompt
Una parte fundamental de Pandas es la manipulaci贸n de estructuras de datos y en este apartado estaremos enfoc谩ndonos a conocer la forma en la que Pandas maneja las estructuras de datos (series, dataframes, etc.). Adicionalmente estaremos aprendiendo las principales funciones que utiliza Pandas para manipular y analizar los datos.
What's included
2 videos10 readings3 assignments1 discussion prompt
La popularidad de Pandas radica en que muchos lo llaman el Excel con esteroides, pues ha desarrollado funciones que permiten que ciertas operaciones sean muy sencillas y f谩ciles de implementar para realizar an谩lisis muy complejos. En este apartado, revisaremos las operaciones b谩sicas y avanzadas que maneja Pandas para realizar c谩lculos en estructuras de datos, columnas, renglones o datos de tipo cadena.
What's included
2 videos9 readings3 assignments1 peer review1 discussion prompt
El An谩lisis Exploratorio de Datos o EDA es una forma de analizar datos que fue definido por John W. Turkey; este es una parte fundamental para la realizaci贸n de proyectos de ciencia de datos. En este apartado nos centraremos en aprender a realizar un EDA usando Pandas. Adicionalmente, otra de las etapas importantes de la ciencia de datos es la visualizaci贸n de datos y en este apartado conoceremos como realizar este proceso en Pandas con la ayuda de librer铆as que apoyan a Pandas.
What's included
3 videos10 readings5 assignments1 discussion prompt
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