Python: de cero a usuario
This course is part of Python: de cero a analista de datos.
Aprenderás el lenguaje Python y las libretas de Jupyter en Windows, Linux y MacOS. Operarás la declaración de variables, estructuras de control y las funciones integradas en Python. Además manipularás la libreta de Jupyter y usarás los magic commands. Tendrás acceso a la documentación y conocerás cómo realizar la instalación de paquetes para Python y usarás la libreta de Jupyter para resolver problemas sencillos. A lo largo del curso, explorarás diferentes tipos de datos, incluidos números, cadenas, booleanos, diccionarios, tuplas y listas. Aprenderás a trabajar con estructuras de control como if, else, elif, for y while, y a utilizar list comprehension para filtrar y transformar listas de manera eficiente. El curso también te enseñará a definir funciones con argumentos por defecto y a entender el comportamiento de variables locales y globales en Python.
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What you'll learn
Instalar y configurar Jupyter Notebook en diferentes sistemas operativos
Trabajar con diferentes tipos de datos en Python (números, cadenas, booleanos, listas, tuplas, diccionarios)
Utilizar estructuras de control como if-else, for y while para controlar el flujo del programa
Implementar list comprehension para filtrar y transformar listas eficientemente
Definir funciones con argumentos por defecto y entender variables locales y globales
Utilizar magic commands para optimizar el trabajo en Jupyter Notebook
Skills you'll gain
This course includes:
3.3 Hours PreRecorded video
10 programming assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
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There are 5 modules in this course
Este curso proporciona una introducción completa a Python y Jupyter Notebook, diseñado específicamente para principiantes sin experiencia previa en programación. El plan de estudios está estructurado en cinco módulos que avanzan desde la configuración del entorno de trabajo hasta conceptos más avanzados. Los estudiantes aprenderán a instalar y configurar Jupyter en diferentes sistemas operativos, trabajar con varios tipos de datos en Python, utilizar estructuras de control, implementar funciones, y aplicar magic commands para mejorar la productividad. El curso enfatiza el aprendizaje práctico a través de ejercicios y proyectos, culminando con un proyecto final que integra todos los conocimientos adquiridos. Se incluyen aplicaciones prácticas en campos como la construcción y la energía eólica para demostrar la versatilidad de Python en contextos del mundo real.
Entorno de trabajo
Module 1 · 1 Hours to complete
Sintaxis básica y tipos de datos
Module 2 · 9 Hours to complete
Funciones integradas
Module 3 · 5 Hours to complete
Libretas para tu código en python
Module 4 · 6 Hours to complete
Actividad con honores
Module 5 · 1 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Python: de cero a analista de datos
Instructors
Doctor and Instructor
Guillermo Barrios del Valle is a Doctor affiliated with the National Autonomous University of Mexico (UNAM). He specializes in teaching Python programming and offers courses such as "Python: from zero to user," "Python: from user to data explorer," and "Python: from data explorer to analyst." His work focuses on empowering learners to develop skills in programming and data analysis, catering to various levels of expertise.
Academic Technician
Kevin Alquicira Hernandez is an Academic Technician at the Institute of Renewable Energy (IER) of the National Autonomous University of Mexico (UNAM). He earned his undergraduate degree in Informatics from the Universidad Autónoma del Estado de Morelos and a Master's in Information Technologies from the Universidad Politécnica del Estado de Morelos. From 2009 to 2019, he worked as a software developer at UNAM's Center for Genomic Sciences, where he developed software to study the Escherichia coli (E. coli) bacterium. Currently, his work involves high-performance computing administration, technical support for computer networks and systems, and software development and maintenance. He also supports research by creating Python programs and teaches Python as a secondary instructor in the Renewable Energy Engineering program (LIER) at UNAM.
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