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Python
de cero a usuario
Guillermo Barrios del Valle
and
Kevin Alquicira Hernandez
Guillermo Barrios del Valle
and
Kevin Alquicira Hernandez
Aprenderás el lenguaje Python y las libretas de Jupyter en Windows, Linux y MacOS. Operará la declaración de variables, estructuras de control y las funciones integradas en Python. Además manipulará la libreta de Jupyter y usará los magic commands. Tendrá acceso a la documentación y conocerá cómo realizar la instalación de paquetes para Python y usar la libreta de Jupyter para resolver problemas sencillos.
Register for this course and see more details by visiting:
OpenCourser.com/course/osr37z/python
What's inside
Syllabus
Entorno de trabajo
Sintaxis básica y tipos de datos
Funciones integradas
Read more
Syllabus
Entorno de trabajo
Sintaxis básica y tipos de datos
Funciones integradas
Read more
Libretas para tu código en python
Actividad con honores
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Se enfoca en habilidades básicas de Python, lo que lo hace adecuado para principiantes
Proporciona una base para el desarrollo de habilidades más avanzadas de programación en Python
Cubre las estructuras de control esenciales y las funciones integradas para resolver problemas simples
Utiliza Jupyter Notebooks para brindar un entorno de programación interactivo, facilitando la comprensión de los conceptos
Abarca la instalación de paquetes de Python, lo que permite a los estudiantes ampliar la funcionalidad de su código
Requiere que los estudiantes tengan acceso a una computadora y conexión a Internet, lo que puede ser una limitación para algunos
Save this course
Save Python: de cero a usuario to your list so you can find it easily later:
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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 Python: de cero a usuario with these
activities:
Revise Python basics
Show steps
Reviewing Python basics will help you recall the fundamental concepts necessary for success in this course.
Show steps
-
Read through your notes or textbook from a previous Python course.
-
Complete a few practice problems or exercises to test your understanding.
Practice writing Python code
Show steps
Regular practice writing Python code will improve your proficiency and solidify your understanding of the language.
Browse courses on
Python
Show steps
-
Find a set of coding exercises or problems online.
-
Set aside some time each day or week to work on the exercises.
-
Review your code and identify areas for improvement.
Follow online tutorials on Jupyter Notebooks
Show steps
Jupyter Notebooks are a powerful tool for data analysis and visualization. Following tutorials will help you become proficient in using them.
Browse courses on
Jupyter Notebooks
Show steps
-
Find a set of tutorials on Jupyter Notebooks.
-
Work through the tutorials and complete the exercises.
-
Apply what you've learned to your own projects.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Join a study group or online forum
Show steps
Collaborating with peers can help you learn from others, identify areas for improvement, and stay motivated.
Show steps
-
Find a study group or online forum related to Python or data analysis.
-
Participate in discussions and ask questions.
-
Share your knowledge and insights with others.
Build a small Python project
Show steps
Completing a Python project will give you hands-on experience applying your skills and solving real-world problems.
Browse courses on
Python
Show steps
-
Identify a problem or task that you can solve using Python.
-
Design and implement a Python solution.
-
Test and refine your solution.
Mentor a fellow student
Show steps
Mentoring others can help you reinforce your own understanding of the material and develop your communication skills.
Browse courses on
Python
Show steps
-
Identify a fellow student who is struggling with Python.
-
Offer your help and provide guidance.
-
Review concepts and answer questions.
Participate in a coding competition
Show steps
Participating in a coding competition can challenge your skills, push you to learn new techniques, and earn recognition for your achievements.
Browse courses on
Python
Show steps
-
Find a coding competition that is relevant to your interests and skill level.
-
Prepare for the competition by practicing and studying.
-
Compete in the competition and give your best effort.
-
Reflect on your performance and identify areas for improvement.
Revise Python basics
Show steps
Reviewing Python basics will help you recall the fundamental concepts necessary for success in this course.
Show steps
Show steps
Show steps
- Read through your notes or textbook from a previous Python course.
- Complete a few practice problems or exercises to test your understanding.
Practice writing Python code
Show steps
Regular practice writing Python code will improve your proficiency and solidify your understanding of the language.
Browse courses on
Python
Show steps
Show steps
Show steps
- Find a set of coding exercises or problems online.
- Set aside some time each day or week to work on the exercises.
- Review your code and identify areas for improvement.
Follow online tutorials on Jupyter Notebooks
Show steps
Jupyter Notebooks are a powerful tool for data analysis and visualization. Following tutorials will help you become proficient in using them.
Browse courses on
Jupyter Notebooks
Show steps
Show steps
Show steps
- Find a set of tutorials on Jupyter Notebooks.
- Work through the tutorials and complete the exercises.
- Apply what you've learned to your own projects.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Join a study group or online forum
Show steps
Collaborating with peers can help you learn from others, identify areas for improvement, and stay motivated.
Show steps
Show steps
Show steps
- Find a study group or online forum related to Python or data analysis.
- Participate in discussions and ask questions.
- Share your knowledge and insights with others.
Build a small Python project
Show steps
Completing a Python project will give you hands-on experience applying your skills and solving real-world problems.
Browse courses on
Python
Show steps
Show steps
Show steps
- Identify a problem or task that you can solve using Python.
- Design and implement a Python solution.
- Test and refine your solution.
Mentor a fellow student
Show steps
Mentoring others can help you reinforce your own understanding of the material and develop your communication skills.
Browse courses on
Python
Show steps
Show steps
Show steps
- Identify a fellow student who is struggling with Python.
- Offer your help and provide guidance.
- Review concepts and answer questions.
Participate in a coding competition
Show steps
Participating in a coding competition can challenge your skills, push you to learn new techniques, and earn recognition for your achievements.
Browse courses on
Python
Show steps
Show steps
Show steps
- Find a coding competition that is relevant to your interests and skill level.
- Prepare for the competition by practicing and studying.
- Compete in the competition and give your best effort.
- Reflect on your performance and identify areas for improvement.
Career center
Learners who complete Python: de cero a usuario will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use data to solve business problems. This course may be useful for this career path by providing a foundation in programming with Python. Python is widely used in data science, and the course covers relevant topics such as data manipulation, analysis, and visualization.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and maintain machine learning models. This course may be useful for this career path by providing a foundation in programming with Python. Python is widely used in machine learning. Additionally, the course covers Jupyter Notebooks, which is used for data analysis with Python.
Data Engineer
Data Engineer
Data Engineers build and maintain data pipelines and infrastructure. This course may be useful for this career path by providing a foundation in programming with Python. Python is widely used for data engineering tasks such as data extraction, transformation, and loading.
Software Engineer
Software Engineer
Software Engineers design, build, and maintain computer programs and applications. This course may be useful for this career path by providing a foundation in programming with Python. Python is a popular programming language for software development.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make informed decisions. This course may be useful for this career path by providing a foundation in using Python for data manipulation and analysis. The course also covers Jupyter Notebooks, which is used for data analysis with Python.
Financial Analyst
Financial Analyst
Financial Analysts provide financial advice to individuals and businesses. This course may be useful for this career path by providing a foundation in using Python for data manipulation and analysis. Additionally, the course covers Jupyter Notebooks, which is used for data analysis with Python.
Marketing Analyst
Marketing Analyst
Marketing Analysts help businesses develop and implement marketing strategies. This course may be useful for this career path by providing a foundation in using Python for data manipulation and analysis. Additionally, the course covers Jupyter Notebooks, which is used for data analysis with Python.
Computer Programmer
Computer Programmer
Computer Programmers write and maintain computer programs. This course may be useful for this career path by providing a foundation in programming with Python. Python is a popular programming language for software development.
Business Analyst
Business Analyst
Business Analysts help businesses make informed decisions by providing data and analysis. This course may be useful for this career path by providing a foundation in using Python for data manipulation and analysis. Additionally, the course covers Jupyter Notebooks, which is used for data analysis with Python.
Statistician
Statistician
Statisticians collect, analyze, and interpret data to solve problems. This course may be useful for this career path by providing a foundation in using Python for data manipulation and analysis. Additionally, the course covers Jupyter Notebooks, which is used for data analysis with Python.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts develop and apply mathematical and statistical models to financial data. This course may be useful for this career path by providing a foundation in programming with Python. Python is widely used for quantitative analysis and data science.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts help businesses make informed decisions by providing data and analysis. This course may be useful for this career path by providing a foundation in using Python for data manipulation and analysis. Additionally, the course covers Jupyter Notebooks, which is used for data analysis with Python.
Project Manager
Project Manager
Project Managers plan, execute, and close projects. This course may be useful for this career path by providing a foundation in project management and using Python for data analysis and visualization. Project Managers often use data to make decisions about project planning and execution.
Product Manager
Product Manager
Product Managers develop and manage products and services. This course may be useful for this career path by providing a foundation in using Python for data analysis and visualization. Product Managers often use data to make decisions about product development and marketing.
Software Developer
Software Developer
Software Developers design, build, and maintain computer programs and applications. This course may be useful for this career path by providing a foundation in programming with Python. The syntax and data structures covered in the course will be relevant for Software Developers who work with Python code.
For more career information including salaries, visit:
OpenCourser.com/course/osr37z/python
Reading list
We've selected six 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
Python: de cero a usuario.
Este libro complementa perfectamente el curso, ya que proporciona una base sólida sobre los fundamentos de Python, incluyendo sintaxis, tipos de datos, funciones y estructuras de control.
Este libro ofrece una introducción práctica a Python, con proyectos guiados que refuerzan los conceptos aprendidos en el curso y amplían el conocimiento de los estudiantes.
Aunque el curso no cubre Pandas, este libro es valioso para quienes deseen ampliar sus conocimientos sobre la manipulación y el análisis de datos con Python.
Este libro proporciona una cobertura integral de la ciencia de datos con Python, cubriendo temas como la exploración de datos, el modelado predictivo y el aprendizaje automático.
Save
Este libro ofrece una introducción accesible a Python, adecuada para principiantes que buscan comprender los fundamentos de la programación.
Este libro proporciona una introducción al aprendizaje automático utilizando Python, cubriendo conceptos como clasificación, regresión y agrupamiento.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/osr37z/python
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Effort
6 hrs/semana
Level
Introductory
Via
Coursera
Institution
Universidad Nacional Autónoma de México
Instructors
Guillermo Barrios del Valle
Kevin Alquicira Hernandez
Language
Español
Good to know
Se enfoca en habilidades básicas de Python, lo que lo hace adecuado para principiantes
Proporciona una base para el desarrollo de habilidades más avanzadas de programación en Python
Cubre las estructuras de control esenciales y las funciones integradas para resolver problemas simples
Utiliza Jupyter Notebooks para brindar un entorno de programación interactivo, facilitando la comprensión de los conceptos
Abarca la instalación de paquetes de Python, lo que permite a los estudiantes ampliar la funcionalidad de su código
Requiere que los estudiantes tengan acceso a una computadora y conexión a Internet, lo que puede ser una limitación para algunos
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