Graficando 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 programar interfaces interactivas para explorar gráficas de funciones trigonométricas inversas. El proyecto está dirigido especialmente 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 gráficos del módulo pyplot de matplotlib 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 gráficas 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.

What's inside

Syllabus

Visión general del proyecto

En este proyecto guiado aprenderás a programar interfaces interactivas para explorar gráficas de funciones trigonométricas inversas. El proyecto está dirigido especialmente 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 gráficos del módulo pyplot de matplotlib 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 gráficas de funciones trigonométricas inversas.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

La interfaz interactiva programada facilita la exploración práctica del comportamiento de las funciones trigonométricas inversas

Este proyecto guiado ofrece una base práctica para los educadores, especialmente para aquellos con conocimientos básicos de programación

El uso de Python 3.9 y herramientas avanzadas como NumPy y Matplotlib brinda a los estudiantes exposición a tecnologías valiosas

Este proyecto guiado está dirigido a fortalecer las habilidades analíticas y de programación de los participantes

Los vídeos y tareas proporcionan un equilibrio entre la entrega de conceptos y la práctica

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 Graficando funciones trigonométricas inversas con Python with these activities:

Revise trigonometric functions and inverse trigonometric functions

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Starting with a strong understanding of trigonometric and inverse trigonometric functions will improve learning outcomes in this course.

Browse courses on Trigonometric Functions

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Review the definitions of trigonometric and inverse trigonometric functions.
Practice finding the values of trigonometric and inverse trigonometric functions using a calculator.
Graph the trigonometric and inverse trigonometric functions.

Explore interactive tutorials on graphing trigonometric functions

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Guided tutorials can provide a deeper understanding of the concepts covered in this course.

Browse courses on Trigonometric Functions

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Find and watch video tutorials that explain how to graph trigonometric functions.
Follow along with the tutorials and try to graph the functions yourself.
Use the tutorials to answer questions about the graphs of trigonometric functions.

Solve practice problems on graphing trigonometric functions

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Solving practice problems can help you master the skills needed to graph trigonometric functions.

Browse courses on Trigonometric Functions

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Find practice problems on graphing trigonometric functions.
Solve the practice problems and check your answers.
Review the solutions to the practice problems and identify any areas where you need additional practice.

Four other activities

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Create a visual representation of the graphs of trigonometric functions

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Creating a visual representation of the graphs of trigonometric functions can help you visualize and understand the concepts covered in this course.

Browse courses on Trigonometric Functions

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Choose a trigonometric function to graph.
Use a graphing calculator or software to plot the graph of the function.
Create a visual representation of the graph, such as a drawing, painting, or sculpture.

Create a project to explore the graphs of trigonometric functions

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Creating a project can help you apply your knowledge of trigonometric functions and develop your programming skills.

Browse courses on Trigonometric Functions

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Choose a topic for your project, such as graphing the inverse trigonometric functions or exploring the relationship between the graphs of trigonometric functions and their inverses.
Develop a plan for your project, including the steps you will take to complete it.
Implement your project using Python and Jupyter Notebook.
Write a report on your project, including your findings and conclusions.

Develop a presentation on the graphs of trigonometric functions

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Developing a presentation on the graphs of trigonometric functions can help you organize your knowledge and communicate your understanding of the concepts covered in this course.

Browse courses on Trigonometric Functions

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Choose a topic for your presentation, such as the different types of trigonometric functions or the applications of trigonometric functions.
Research your topic and gather information from reliable sources.
Create a presentation using slides, images, and other visuals.
Practice your presentation and get feedback from others.

Organize your notes and materials from this course

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Organizing your notes and materials can help you study more effectively and retain the information you learn in this course.

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Review your notes and materials from this course.
Organize your notes and materials into a logical order.
Create a study guide or other resource that you can use to review the material before exams.

Career center

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

Data Visualization Engineer

A Data Visualization Engineer designs and develops data visualizations. The course can be useful for Data Visualization Engineers who want to learn how to use Python libraries such as ipywidgets, NumPy, and matplotlib to create interactive data visualizations. These skills can be useful for developing interactive dashboards or other data visualization tools.

See salaries and explore the career path for Data Visualization Engineer

Machine Learning Engineer

A Machine Learning Engineer develops and deploys machine learning models. The course can be useful for Machine Learning Engineers who want to learn how to use Python libraries such as ipywidgets, NumPy, and matplotlib to create interactive data visualizations. These skills can be useful for developing interactive dashboards or other data visualization tools.

See salaries and explore the career path for Machine Learning Engineer

Data Engineer

A Data Engineer designs, builds, and maintains data pipelines. The course can be useful for Data Engineers who want to learn how to use Python libraries such as ipywidgets, NumPy, and matplotlib to create interactive data visualizations. These skills can be useful for developing interactive dashboards or other data visualization tools.

See salaries and explore the career path for Data Engineer

Software Engineer

A Software Engineer designs, develops, tests, and maintains software and applications. The course may be useful for Software Engineers who want to learn how to use Python libraries such as ipywidgets, NumPy, and matplotlib to create interactive data visualizations. These skills can be useful for developing interactive dashboards or other data visualization tools.

See salaries and explore the career path for Software Engineer

Quantitative Analyst

A Quantitative Analyst uses mathematical and statistical models to analyze data and make predictions. The course can be useful for Quantitative Analysts who want to learn how to use Python libraries such as ipywidgets, NumPy, and matplotlib to create interactive data visualizations. These skills can be useful for developing interactive dashboards or other data visualization tools.

See salaries and explore the career path for Quantitative Analyst

Software Developer

A Software Developer designs, develops, tests, and maintains software and applications. The course can be useful for Software Developers who want to learn how to use Python libraries such as ipywidgets, NumPy, and matplotlib to create interactive data visualizations. These skills can be useful for developing interactive dashboards or other data visualization tools.

See salaries and explore the career path for Software Developer

Computer Programmer

A Computer Programmer designs, develops, tests, and maintains software and applications. The course can be useful for Computer Programmers who want to learn how to use Python libraries such as ipywidgets, NumPy, and matplotlib to create interactive data visualizations. These skills can be useful for developing interactive dashboards or other data visualization tools.

See salaries and explore the career path for Computer Programmer

Financial Analyst

A Financial Analyst evaluates financial data and makes recommendations to clients. The course can be useful for Financial Analysts who want to learn how to use Python libraries such as ipywidgets, NumPy, and matplotlib to create interactive data visualizations. These skills can be useful for developing interactive dashboards or other data visualization tools.

See salaries and explore the career path for Financial Analyst

Research Scientist

A Research Scientist conducts research in a variety of fields. The course can be useful for Research Scientists who want to learn how to visualize complex data using Python libraries. For example, the course can help Research Scientists create interactive visualizations of trigonometric functions, which can be useful for understanding periodic trends or patterns.

See salaries and explore the career path for Research Scientist

Actuary

An Actuary analyzes financial data and calculates risks. The course can be useful for Actuaries who want to learn how to visualize complex data using Python libraries. For example, the course can help Actuaries create interactive visualizations of trigonometric functions, which can be useful for understanding periodic trends or patterns.

See salaries and explore the career path for Actuary

Business Analyst

A Business Analyst analyzes business processes and makes recommendations for improvement. The course can be useful for Business Analysts who want to learn how to visualize complex data using Python libraries. For example, the course can help Business Analysts create interactive visualizations of trigonometric functions, which can be useful for understanding periodic trends or patterns.

See salaries and explore the career path for Business Analyst

Data Scientist

A Data Scientist analyzes data to help organizations make better decisions. The course can be helpful for Data Scientists who want to learn how to visualize complex data using Python libraries. For example, the course can help Data Scientists create interactive visualizations of trigonometric functions, which can be useful for understanding periodic trends or patterns.

See salaries and explore the career path for Data Scientist

Market Researcher

A Market Researcher conducts research to understand consumer behavior and trends. The course can be useful for Market Researchers who want to learn how to visualize complex data using Python libraries. For example, the course can help Market Researchers create interactive visualizations of trigonometric functions, which can be useful for understanding periodic trends or patterns.

See salaries and explore the career path for Market Researcher

Data Analyst

A Data Analyst collects, processes, analyzes, and interprets data to help organizations make informed decisions. The course can be useful for Data Analysts who want to learn how to visualize complex data using Python libraries. For example, the course can help Data Analysts create interactive visualizations of trigonometric functions, which can be useful for understanding periodic trends or patterns.

See salaries and explore the career path for Data Analyst

Statistician

A Statistician collects, analyzes, and interprets data. The course can be useful for Statisticians who want to learn how to visualize complex data using Python libraries. For example, the course can help Statisticians create interactive visualizations of trigonometric functions, which can be useful for understanding periodic trends or patterns.

See salaries and explore the career path for Statistician

Graficando funciones trigonométricas inversas con Python

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