Tabulando funciones trigonométricas inversas con Python from Coursera

En la matemática escolar es importante abordar varias perspectivas y técnicas para asimilar los conceptos matemáticos, realizar procedimientos con entendimiento e interpretar los resultados. Por ejemplo, las funciones matemáticas pueden ser estudiadas mediante expresiones algebraicas y trascendentes y representadas en listas, tablas y gráficas.

En este proyecto guiado aprenderás a programa interfaces interactivas para explorar tablas de funciones trigonométricas inversas. El proyecto está dirigido a los docentes de la escuela secundaria con conocimientos básicos de programación de computadoras, tales como operaciones aritméticas y sentencias condicionales. Utilizarás el lenguaje Python 3.9 en Jupyter Notebook con interfaces de ipywidgets, arreglos numéricos de Numpy y tablas de pandas para realizar tareas de análisis y de programación mediante guías en vídeos y en un cuaderno de prácticas que incluye enlaces a recursos informáticos y matemáticos. Los vídeos duran aproximadamente una hora y las tareas requieren dedicar alrededor de dos horas. Al finalizar el proyecto estarás en capacidad de programar interfaces básicas para ayudar a los estudiantes a descubrir propiedades y patrones matemáticos en las tablas de funciones trigonométricas inversas.

Nota: los proyectos guiados de la serie "Explorando/Descubriendo/Tabulando/Graficando funciones ... con Python" contienen varias tareas similares para que puedan ser elegidos independientemente y solo los necesarios.

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Syllabus

Visión general del proyecto

En este proyecto guiado aprenderás a programa interfaces interactivas para explorar tablas de funciones trigonométricas inversas. El proyecto está dirigido a los docentes de la escuela secundaria con conocimientos básicos de programación de computadoras, tales como operaciones aritméticas y sentencias condicionales. Utilizarás el lenguaje Python 3.9 en Jupyter Notebook con interfaces de ipywidgets, arreglos numéricos de NumPy y tablas de pandas para realizar tareas de análisis y de programación mediante guías en vídeos y en un cuaderno de prácticas que incluye enlaces a recursos informáticos y matemáticos. Los vídeos duran aproximadamente una hora y las tareas requieren dedicar alrededor de dos horas. Al finalizar el proyecto estarás en capacidad de programar interfaces básicas para ayudar a los estudiantes a descubrir propiedades y patrones matemáticos en las tablas de funciones trigonométricas inversas.

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Diseñado para profesores de secundaria con conocimientos básicos de programación

Utiliza Python 3.9, Jupyter Notebook, ipywidgets, NumPy y Pandas como lenguajes y herramientas

Proporciona guías en vídeo y un cuaderno de prácticas con enlaces a recursos informáticos y matemáticos

Brinda explicaciones de los conceptos matemáticos y guías para realizar tareas de análisis y programación

Facilita el diseño de interfaces básicas para que los estudiantes exploren tablas de funciones trigonométricas inversas y descubran propiedades y patrones matemáticos

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 Tabulando funciones trigonométricas inversas con Python with these activities:

Exploración guiada de la documentación de ipywidgets

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Familiarízate con la biblioteca ipywidgets para crear interfaces interactivas en Python.

Browse courses on ipywidgets

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Revisa la documentación oficial de ipywidgets.
Experimenta con diferentes widgets interactivos en un cuaderno de Jupyter.

Documentación de la interfaz interactiva creada

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Documenta las características y funcionalidades de la interfaz creada para facilitar su uso por otros.

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Escribe una guía de usuario paso a paso.
Crea un tutorial en video que demuestre el uso de la interfaz.

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Career center

Learners who complete Tabulando funciones trigonométricas inversas con Python will develop knowledge and skills that may be useful to these careers:

Data Scientist

A Data Scientist performs scientific methods on structured and unstructured data to extract insights from it. In this role, one can build interfaces in Python which interact with a variety of functions to analyze and visualize data. This course teaches programming basics in Python which can help prepare one for this role.

See salaries and explore the career path for Data Scientist

Software Engineer

A Software Engineer creates and maintains web applications. In this role, one may write code to interact with complex mathematical functions and represent data in tables or graphs. The course teaches Python programming basics which can help build a foundation for this role.

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Quantitative Analyst

A Quantitative Analyst uses mathematical and statistical methods to evaluate risks and make investment decisions. In this role, one must understand how to perform mathematical operations, analyze data, and visualize findings. This course may be helpful for learning Python to perform mathematical operations and analyze data.

See salaries and explore the career path for Quantitative Analyst

Business Analyst

A Business Analyst helps organizations improve their performance by analyzing data and identifying areas for improvement. In this role, one may use Python to analyze data, create visualizations, and make recommendations. This course may be helpful in learning Python for data analysis and visualization.

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Statistician

A Statistician collects, analyzes, interprets, and presents data. In this role, one must understand how to perform mathematical operations and analyze data. This course may be helpful in learning Python to perform mathematical operations and analyze data.

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Financial Analyst

A Financial Analyst helps businesses make financial decisions by analyzing data and identifying trends. In this role, one must understand how to perform mathematical operations, analyze data, and make recommendations. This course may be helpful in learning Python for data analysis and visualization.

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Data Analyst

A Data Analyst collects, analyzes, interprets, and presents data. In this role, one must understand how to perform mathematical operations and analyze data. This course may be helpful in learning Python for data analysis.

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Operations Research Analyst

An Operations Research Analyst uses mathematical and statistical methods to solve business problems. In this role, one must understand how to perform mathematical operations and analyze data. This course may be helpful in learning Python for data analysis and solving business problems.

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Risk Analyst

A Risk Analyst evaluates risks and makes recommendations for mitigating them. In this role, one must understand how to perform mathematical operations and analyze data. This course may be helpful in learning Python for data analysis and risk assessment.

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Data Engineer

A Data Engineer designs and builds data pipelines. In this role, one must understand how to perform mathematical operations and analyze data. This course may be helpful in learning Python for data engineering and analysis.

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Machine Learning Engineer

A Machine Learning Engineer develops and maintains machine learning models. In this role, one must understand how to perform mathematical operations, analyze data, and build machine learning models. This course may be helpful in learning Python for data analysis and machine learning model development.

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Actuary

An Actuary evaluates risks and makes financial decisions for insurance companies. In this role, one must understand how to perform mathematical operations and analyze data. This course may be helpful in learning Python for data analysis and financial modeling.

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Financial Risk Manager

A Financial Risk Manager evaluates and manages financial risks. In this role, one must understand how to perform mathematical operations and analyze data. This course may be helpful in learning Python for data analysis and risk management.

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Regulatory Compliance Analyst

A Regulatory Compliance Analyst ensures that companies comply with regulations. In this role, one must understand how to analyze data and identify risks. This course may be helpful in learning Python for data analysis and compliance.

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Quantitative Trader

A Quantitative Trader uses mathematical and statistical methods to trade financial assets. In this role, one must understand how to perform mathematical operations and analyze data. This course may be helpful in learning Python for data analysis and financial trading.

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Tabulando funciones trigonométricas inversas con Python

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