La ciencia de datos es un área enfocada en la extracción de conocimiento a partir de conjuntos de datos con diversas fuentes y formas. El conocimiento adquirido es generado por diversas técnicas derivadas de estadística, minería de datos, aprendizaje automático. En este curso, serás introducido a los conceptos generales de las ciencias de datos con la ayuda del lenguaje de programación Python. Python es un lenguaje de propósito general y es usado para aplicar los métodos de ciencias de datos gracias a la gran cantidad de librerías disponibles y la enorme comunidad que las soporta.
Data Science: Tus Primeros Pasos con Python
Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
105 hours to complete
3 weeks at 35 hours a week
Flexible schedule
Learn at your own pace
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February 2025
Assessments
33 assignments
Taught in Spanish
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There are 4 modules in this course
Esta sección, te introduce en la ciencia de datos y el uso de Python como herramienta principal. Incluye una bienvenida y fundamentos básicos, instalación de Python y exploración de Jupyter Notebook. También se cubren tipos de datos, estructuras de control y manejo de variables en Python.
What's included
12 videos12 readings7 assignments
En esta sección, aprenderás a trabajar con DataFrames y series usando la biblioteca Pandas, obteniendo datos de diferentes fuentes y realizando web scraping. Además, se enfocará en técnicas de limpieza de datos, identificación de datos anómalos y preparación de datos para el análisis.
What's included
16 videos10 readings10 assignments
Esta sección enseña la importancia de la visualización de datos en la ciencia de datos. Los estudiantes aprenderán sobre diferentes tipos de visualizaciones, los elementos de un gráfico efectivo y la relevancia de la visualización en el contexto del big data.
What's included
15 videos7 readings8 assignments
La sección final se centra en la gestión de bases de datos, introduciendo conceptos básicos de bases de datos y SQL. Los estudiantes aprenderán a interactuar con bases de datos, ejecutar consultas y gestionar grandes volúmenes de datos de manera eficiente.
What's included
10 videos7 readings8 assignments
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