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María Ignacia España
En este curso basado en un proyecto y de 1 hora de duración, aprenderás a conocer con qué tipos de datos se puede trabajar y cómo usarlos en variables y sentencias, crear programas de python que interactúen con el usuario, aprenderás a trabajar con distintas funciones de python, uniéndolas para crear programas. Es un curso básico, por lo cual no necesitas tener conocimientos previos de programación. Te mostraré los conceptos básicos hasta que puedas crear un programa que interactúe con el usuario de manera autónoma.
Register for this course and see more details by visiting:
OpenCourser.com/course/hqgnqy/primeros
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What's inside
Syllabus
Project Overview
En este proyecto aprenderás a trabajar con python desde la base, no requiere conocimiento previo. Terminarás escribiendo programas capaces de interactuar con el ususario y mantenerse en ejecución autónoma.
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Know what's good ,
what to watch for , and
possible dealbreakers
Desarrolla las bases de programación en Python desde cero, ideal para principiantes
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Reviews summary
Intro to python course
This course is highly rated by students and is recommended for beginners. It provides a thorough introduction to Python, covering data types, variables, and functions. The course uses a project-based approach and does not require any prior programming knowledge.
Hands-on learning experience
"En este proyecto aprenderás a trabajar con python desde la base, no requiere conocimiento previo."
"Terminarás escribiendo programas capaces de interactuar con el ususario y mantenerse en ejecución autónoma."
Easy to follow and understand
"muy buen curso, fue lo sufucientemente claro con todos los ejercicios"
"Justo lo que indica, primeros pasos!
"
Great for those new to Python
"...este curso es el ideal..."
"Es un curso básico, por lo cual no necesitas tener conocimientos previos de programación."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Primeros pasos en Python with these
activities:
Organizar y revisar notas de clase
Show steps
Mejora tu retención y comprensión revisando y organizando regularmente tus notas de clase.
Show steps
-
Recopilar todas las notas de clase
-
Crear un sistema de organización lógico
-
Revisar las notas de forma regular
Formar un grupo de estudio con compañeros
Show steps
Colabora con otros estudiantes para discutir conceptos, compartir conocimientos y resolver problemas conjuntamente.
Show steps
-
Identificar compañeros interesados
-
Establecer un horario regular de reuniones
-
Revisar el material del curso y resolver problemas juntos
Crear una aplicación de Python simple
Show steps
Aplica los conceptos aprendidos creando un proyecto práctico que demuestre tus habilidades de programación.
Show steps
-
Planificar la funcionalidad de la aplicación
-
Codificar la lógica de la aplicación
-
Diseñar la interfaz de usuario
-
Probar y depurar la aplicación
One other activity
Expand to see all activities and additional details
Show all four activities
Ofrecerse como voluntario en una organización tecnológica
Show steps
Adquiere experiencia práctica y aplica tus habilidades de programación en un entorno del mundo real.
Show steps
-
Investigar organizaciones tecnológicas locales
-
Contactar a los organizadores y expresar interés
-
Participar activamente en proyectos y tareas
Organizar y revisar notas de clase
Show steps
Mejora tu retención y comprensión revisando y organizando regularmente tus notas de clase.
Show steps
Show steps
Show steps
- Recopilar todas las notas de clase
- Crear un sistema de organización lógico
- Revisar las notas de forma regular
Formar un grupo de estudio con compañeros
Show steps
Colabora con otros estudiantes para discutir conceptos, compartir conocimientos y resolver problemas conjuntamente.
Show steps
Show steps
Show steps
- Identificar compañeros interesados
- Establecer un horario regular de reuniones
- Revisar el material del curso y resolver problemas juntos
Crear una aplicación de Python simple
Show steps
Aplica los conceptos aprendidos creando un proyecto práctico que demuestre tus habilidades de programación.
Show steps
Show steps
Show steps
- Planificar la funcionalidad de la aplicación
- Codificar la lógica de la aplicación
- Diseñar la interfaz de usuario
- Probar y depurar la aplicación
One other activity
Expand to see all activities and additional details
Show all four activities
Ofrecerse como voluntario en una organización tecnológica
Show steps
Adquiere experiencia práctica y aplica tus habilidades de programación en un entorno del mundo real.
Show steps
Show steps
Show steps
- Investigar organizaciones tecnológicas locales
- Contactar a los organizadores y expresar interés
- Participar activamente en proyectos y tareas
Career center
Learners who complete Primeros pasos en Python will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist uses statistical methods and machine learning to extract insights from data. This course may be helpful for aspiring Data Scientists because it teaches the basics of data manipulation and analysis using Python, a popular programming language for data science.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs and develops machine learning models. This course may be helpful for aspiring Machine Learning Engineers because it teaches the basics of data manipulation and analysis using Python, a popular programming language for machine learning.
Business Analyst
Business Analyst
A Business Analyst analyzes business processes and data to help businesses improve their operations. This course may be helpful for aspiring Business Analysts because it teaches the basics of data manipulation and analysis using Python, a popular programming language for data analysis.
Statistician
Statistician
A Statistician collects, analyzes, and interprets data to help businesses and organizations make informed decisions. This course may be helpful for aspiring Statisticians because it teaches the basics of data manipulation and analysis using Python, a popular programming language for statistics.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software systems. This course may be helpful for aspiring Software Engineers because it teaches the basics of programming in Python, a popular programming language for software development.
Data Analyst
Data Analyst
A Data Analyst is responsible for collecting, cleaning, and analyzing data to help businesses make informed decisions. This course may be helpful for aspiring Data Analysts because it teaches the basics of data manipulation and analysis using Python, a popular programming language for data science.
Web Developer
Web Developer
A Web Developer designs and develops websites and web applications. This course may be helpful for aspiring Web Developers because it teaches the basics of programming in Python, a popular programming language for web development.
Financial Analyst
Financial Analyst
A Financial Analyst analyzes financial data to help businesses make informed decisions. This course may be helpful for aspiring Financial Analysts because it teaches the basics of data manipulation and analysis using Python, a popular programming language for financial analysis.
Data Engineer
Data Engineer
A Data Engineer designs and builds data pipelines to store and process data. This course may be helpful for aspiring Data Engineers because it teaches the basics of data manipulation and analysis using Python, a popular programming language for data engineering.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst uses mathematical and statistical methods to analyze financial data. This course may be helpful for aspiring Quantitative Analysts because it teaches the basics of data manipulation and analysis using Python, a popular programming language for quantitative finance.
Actuary
Actuary
An Actuary analyzes financial data to assess risk and uncertainty. This course may be helpful for aspiring Actuaries because it teaches the basics of data manipulation and analysis using Python, a popular programming language for actuarial science.
Software Developer
Software Developer
A Software Developer designs and develops software systems. This course may be helpful for aspiring Software Developers because it teaches the basics of programming in Python, a popular programming language for software development.
Research Scientist
Research Scientist
A Research Scientist conducts research in a variety of fields, including science, engineering, and medicine. This course may be helpful for aspiring Research Scientists because it teaches the basics of data manipulation and analysis using Python, a popular programming language for scientific research.
For more career information including salaries, visit:
OpenCourser.com/course/hqgnqy/primeros
Reading list
We've selected 17 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Primeros pasos en Python.
Este libro completo y práctico te lleva desde cero hasta construir proyectos de Python reales, cubriendo todo, desde conceptos básicos hasta técnicas avanzadas.
Esta guía práctica te guía a través de la automatización de tareas repetitivas con Python, brindando habilidades valiosas para principiantes.
Provides a comprehensive introduction to data science using Python. It covers the basics of data science, data analysis, and machine learning.
Provides a comprehensive introduction to Python, covering the basics of the language, data structures, and algorithms. It great resource for those who are new to programming or want to learn more about Python.
Save
Este libro interactivo utiliza un enfoque visual y práctico para enseñar Python, lo que lo hace accesible para principiantes sin conocimientos previos de programación.
Provides a comprehensive introduction to machine learning using Scikit-Learn, Keras, and TensorFlow. It covers the basics of machine learning, machine learning algorithms, and machine learning models.
Este libro es una introducción integral a Python para científicos e ingenieros, que cubre temas relevantes como el análisis de datos y la visualización.
Fast-paced, hands-on guide to Python programming. It is perfect for those who want to learn Python quickly and efficiently.
Save
Teaches the fundamentals of computer science using Python. It great resource for those who want to learn the basics of programming and computer science.
Provides a comprehensive introduction to data analysis using Python. It covers the basics of data analysis, data visualization, and machine learning.
Provides a comprehensive introduction to natural language processing using Python. It covers the basics of natural language processing, natural language processing algorithms, and natural language processing models.
Save
Provides a comprehensive introduction to web development using Django. It covers the basics of web development, Django models, and Django views.
Covers the basics of machine learning using Python. It great resource for those who want to learn more about machine learning and how to use Python to implement machine learning algorithms.
Provides a comprehensive introduction to deep learning using Python. It covers the basics of deep learning, neural networks, and deep learning models.
Covers the basics of natural language processing using Python. It great resource for those who want to learn more about natural language processing and how to use Python to implement natural language processing algorithms.
Provides a comprehensive introduction to web development using Python. It covers the basics of web development, web frameworks, and web applications.
Save
Provides a comprehensive introduction to Django, a popular web framework for Python. It covers the basics of Django, Django models, and Django views.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/hqgnqy/primeros
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Effort
En total, menos de dos horas.
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
María Ignacia España
Language
Español
Good to know
Desarrolla las bases de programación en Python desde cero, ideal para principiantes
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