Tabulando funciones cuadráticas 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 tablas de funciones cuadráticas. 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 las funciones cuadráticas.

Nota: los proyectos guiados de la serie "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

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Este proyecto está dirigido a profesores de secundaria con conocimientos básicos de programación, lo que sugiere que es adecuado para aquellos que ya tienen una base en programación

Utiliza Python 3.9, un lenguaje de programación popular y muy utilizado en la industria, lo que lo hace relevante para los estudiantes que buscan desarrollar habilidades prácticas

Proporciona una base sólida para que los profesores comprendan las tablas de funciones cuadráticas y adquieran habilidades de programación para desarrollar interfaces interactivas

Requiere conocimientos previos de operaciones aritméticas y sentencias condicionales en programación, lo que puede ser una barrera para los principiantes absolutos

Se centra en explorar tablas de funciones cuadráticas, lo que limita su alcance a un tema específico

No proporciona una cobertura integral de otros tipos de funciones o conceptos matemáticos más amplios

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 cuadráticas con Python with these activities:

Explorar los tutoriales de Jupyter Notebook

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Familiarizarte con Jupyter Notebook te permitirá crear y ejecutar código de Python de manera interactiva, lo que es esencial para programar interfaces interactivas.

Browse courses on Jupyter Notebook

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Seguir los tutoriales oficiales de Jupyter Notebook
Experimentar con diferentes tipos de celdas
Crear un cuaderno de práctica

Explorar la documentación de Pandas

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Familiarizarse con las capacidades de Pandas para manipular y analizar datos tabulares mejorará tu capacidad para crear interfaces interactivas para explorar tablas de funciones cuadráticas.

Browse courses on Pandas

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Visita el sitio web oficial de Pandas
Lee la documentación de la API
Sigue los tutoriales de introducción

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Career center

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

Data Analyst

Data Analysts play a crucial role in extracting meaningful insights from data and presenting it in a manner that aids decision-making. This course on Tabulating Quadratic Functions with Python aligns well with the analytical skills required for data analysis. By gaining proficiency in programming interfaces, you can develop interactive tools to analyze and visualize data, a valuable skill set for Data Analysts.

See salaries and explore the career path for Data Analyst

Quantitative Analyst

Quantitative Analysts utilize mathematical and statistical models to solve complex problems in finance and risk management. The course's focus on programming interfaces aligns well with the need for Quantitative Analysts to develop tools for data analysis and modeling. Understanding how to tabulate quadratic functions can aid in developing models for financial analysis and risk assessment.

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Data Scientist

Data Scientists leverage various techniques to extract insights from data and solve complex problems. This course on Tabulating Quadratic Functions with Python complements a Data Scientist's skill set by providing a foundation in programming interfaces for data analysis and visualization. Understanding how to tabulate quadratic functions can be beneficial in developing models and algorithms for data analysis.

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Software Engineer

Software Engineers design, develop, and maintain software systems. This course provides a foundation in programming interfaces, which is essential for Software Engineers to build user-friendly and interactive software applications. The course's focus on Python, a widely used programming language, further enhances its relevance to the field.

See salaries and explore the career path for Software Engineer

Business Analyst

Business Analysts help organizations understand their business needs and develop solutions to improve efficiency and profitability. The course's focus on programming interfaces aligns with the need for Business Analysts to develop tools for data analysis and visualization. Understanding how to tabulate quadratic functions can aid in modeling business processes and forecasting trends.

See salaries and explore the career path for Business Analyst

Financial Analyst

Financial Analysts evaluate financial data and provide recommendations for investment and financial planning. This course on Tabulating Quadratic Functions with Python provides a foundation in programming interfaces, which is helpful for Financial Analysts to develop tools for data analysis and modeling. Understanding how to tabulate quadratic functions can aid in developing models for financial forecasting and risk assessment.

See salaries and explore the career path for Financial Analyst

Statistician

Statisticians collect, analyze, interpret, and present data to inform decision-making. This course on Tabulating Quadratic Functions with Python may be useful for Statisticians who want to enhance their programming skills for data analysis and visualization. The course's focus on Python, a widely used language in statistical computing, further enhances its relevance to the field.

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Operations Research Analyst

Operations Research Analysts develop and apply mathematical and analytical techniques to solve complex problems in various industries. This course on Tabulating Quadratic Functions with Python may be useful for Operations Research Analysts who want to enhance their programming skills for data analysis and modeling. Understanding how to tabulate quadratic functions can be beneficial in developing models for optimization and decision-making.

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Machine Learning Engineer

Machine Learning Engineers design and develop machine learning models to solve complex problems. This course on Tabulating Quadratic Functions with Python may be useful for Machine Learning Engineers who want to enhance their programming skills for data analysis and modeling. Understanding how to tabulate quadratic functions can be beneficial in developing models for machine learning algorithms.

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Data Engineer

Data Engineers design, build, and maintain data pipelines and infrastructure to support data analysis and machine learning. This course on Tabulating Quadratic Functions with Python may be useful for Data Engineers who want to enhance their programming skills for data analysis and modeling. Understanding how to tabulate quadratic functions can be beneficial in developing efficient data pipelines.

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Actuary

Actuaries use mathematical and statistical methods to assess and manage risk. This course on Tabulating Quadratic Functions with Python may be useful for Actuaries who want to enhance their programming skills for data analysis and modeling. Understanding how to tabulate quadratic functions can be beneficial in developing models for risk assessment and insurance pricing.

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Quantitative Researcher

Quantitative Researchers develop and apply mathematical and statistical models to analyze financial data and make investment decisions. This course on Tabulating Quadratic Functions with Python may be useful for Quantitative Researchers who want to enhance their programming skills for data analysis and modeling. Understanding how to tabulate quadratic functions can be beneficial in developing models for portfolio optimization and risk management.

See salaries and explore the career path for Quantitative Researcher

Financial Risk Manager

Financial Risk Managers assess and manage financial risks faced by organizations. This course on Tabulating Quadratic Functions with Python may be useful for Financial Risk Managers who want to enhance their programming skills for data analysis and modeling. Understanding how to tabulate quadratic functions can be beneficial in developing models for risk assessment and risk management.

See salaries and explore the career path for Financial Risk Manager

Investment Analyst

Investment Analysts evaluate and make recommendations on investment opportunities. This course on Tabulating Quadratic Functions with Python may be useful for Investment Analysts who want to enhance their programming skills for data analysis and modeling. Understanding how to tabulate quadratic functions can be beneficial in developing models for portfolio analysis and investment decision-making.

See salaries and explore the career path for Investment Analyst

Risk Analyst

Risk Analysts identify, assess, and manage risks faced by organizations. This course on Tabulating Quadratic Functions with Python may be useful for Risk Analysts who want to enhance their programming skills for data analysis and modeling. Understanding how to tabulate quadratic functions can be beneficial in developing models for risk assessment and risk management.

See salaries and explore the career path for Risk Analyst

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