Estadística aplicada a los negocios from Coursera

La toma de decisiones está en la esencia de los negocios. Gerenciar es tomar decisiones, muchas veces bajo presión, con información desordenada y en un contexto de incertidumbre. Un aspecto básico es entender y analizar la información, organizar los datos de forma de facilitar su posterior uso y la toma de decisiones. Si bien hay muchas otras dimensiones que entran en juego, el primer paso es formular bien el problema, estructurarlo y procesar la información. En este sentido, el principal objetivo de este curso es ayudarlo a ser un mejor tomador de decisiones a través de herramientas técnicas.

A lo largo de este curso el alumno desarrollará habilidades cuantitativas para la toma de decisiones, a través del aprendizaje de métodos estadísticos con aplicaciones a los negocios en Excel. El foco está en la comprensión y en el uso de herramientas básicas de análisis e inferencia estadística tratando de que el alumno sea un usuario de estos métodos, comprenda en qué consisten, cuál es la intuición, su uso y aplicaciones.

What's inside

Syllabus

Estadística Descriptiva

Bienvenidos al curso. En esta semana veremos los siguientes temas: organizar y presentar la información para la toma de decisiones; reducir lo máximo posible la información abundante, evitando omitir características importantes de los datos. Identificarás qué estadísticos y qué gráficos son más útiles de acuerdo al problema que se te presente; evaluarás, descriptivamente, cómo se relacionan dos variables; desarrollarás y aplicarás los distintos conceptos de estadística descriptiva para diferentes problemáticas vinculadas a los negocios.

Probabilidades y decisiones bajo incertidumbre

Bienvenidos a la semana 2 del curso. En esta semana veremos los siguientes temas: las principales funciones de probabilidad utilizadas en el campo de los negocios y las finanzas; los comportamientos de las variables y determinación de posibles ganancias o pérdidas; la toma de decisiones racionales en un contexto de incertidumbre; modelos de probabilidad para tomar decisiones que permitan incrementar la rentabilidad y éxito de un negocio; conceptos relacionados con la probabilidad para, entre otras cosas, medir el riesgo a través del Valor en Riesgo (o VaR, por sus siglas en inglés) y determinar el nivel de stock de cierto producto.

Inferencia estadística

Bienvenidos a la semana 3 de este curso. Esta semana veremos los siguientes temas: datos de una muestra para extrapolar las conclusiones para toda la población; intervalos de confianza para medias y proporciones; evaluación empíricamente las conjeturas o suposición que se realicen respecto de la media o proporción; toma de decisiones en base a la información proporcionada por los datos; importancia del tamaño de la muestra; errores que se pueden cometer en el proceso de inferencia estadística.

Introducción al análisis de regresión

• Aprenderás a estimar modelos de regresión con aplicaciones a negocios • Podrás describir relaciones entre variables, intentando medir el impacto que tiene una sobre la otra. • Analizarás qué factores determinan una variable • Realizarás predicciones en base a los modelos estimados

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Curso que explora los fundamentos de la toma de decisiones en entornos empresariales

Enseña métodos estadísticos para organizar y analizar datos, facilitando la toma de decisiones informada

Impartido por Magdalena Cornejo, experta en toma de decisiones y análisis de datos

El plan de estudios cubre conceptos esenciales de estadística descriptiva, inferencia estadística y análisis de regresión

Proporciona habilidades cuantitativas para mejorar la toma de decisiones en contextos empresariales

Puede requerir conocimientos previos en estadística básica

Reviews summary

Estadística para la toma de decisiones en los negocios

Los estudiantes valoran este curso por sus explicaciones claras y concisas, su enfoque práctico y su profesora dedicada. El curso proporciona una base sólida en conceptos estadísticos básicos y sus aplicaciones en el mundo de los negocios, lo que lo convierte en una opción valiosa para aquellos que buscan mejorar sus habilidades en la toma de decisiones basada en datos.

Requiere un compromiso de tiempo razonable, lo que lo hace accesible para los estudiantes con horarios ocupados.

"Buen curso, para profundizar entregan recomendación de libro, se hace aplicación con Excel eso es lo mejor"

"Muy buen alcalce de contenido y metodologíaagregaría un mapa conceptual que relaciones todos los temas del curso"

"Bastante completo y recomendado para recordar la estadística y ponerla en práctica"

Cuenta con una profesora experta que brinda explicaciones claras, brinda apoyo y crea un ambiente de aprendizaje atractivo.

"Excelente curso, las explicaciobnes y ejmplos muy claros"

"La manera de presentarlo me parece muy interesante"

"Excelente la Profesora, el formato, los materiales y los ejercicios."

Se centra en las aplicaciones del mundo real de las estadísticas en la toma de decisiones empresariales, lo que las hace relevantes y atractivas para los estudiantes.

"Excelente curso. Ahora un curso 2.0 para profundizar en él mas de lo que ya fue en este curso."

"Este curso es muy valioso para tomar decisiones basadas en datos en el mundo de los negocios."

"Me ha encantado, aunque deberian de poner mas ejercicios practicos o explicar mas"

Proporciona una comprensión clara y completa de los conceptos estadísticos básicos, incluidas las distribuciones de probabilidad, la inferencia y la regresión.

"Es un curso que aporta gran conocimiento y enfoque a los temas más usuales en la estadística aplicada a los negocios."

"Excelente desarrollo del curso. Me ayudó en mi formación y estoy seguro que me permitirá ampliar mis criterios para toma de decisiones, en la vida diaria, así como en el trabajo."

"Muy buen curso, con contenido bien organizado y explicaciones claras."

Hay quejas ocasionales sobre la retroalimentación tardía o falta de retroalimentación sobre las tareas evaluadas por los compañeros.

"Lo único que no me gusto es la parte de las tareas evaluadas por tus compañeros ya que en algunas ocasiones te califican y hacen observaciones por temas que no tienen nada que ver con la tarea."

"Gracias por el curso bien explicado, ejemplos claros y practicos, ejercicios acorde a lo explicado."

"falto algunas explicaciones sobre la utilización de las tablas de la normal estándar y la t-students."

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 Estadística aplicada a los negocios with these activities:

Revisar principios matemáticos básicos

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Repasar principios matemáticos básicos fortalece la base para comprender conceptos estadísticos.

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Revisar notas o libros de texto.
Resolver problemas de práctica.

Participar en un grupo de estudio

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Participar en un grupo de estudio proporciona apoyo y oportunidades para discutir conceptos.

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Formar o unirse a un grupo de estudio.
Establecer objetivos y horarios de reunión.
Compartir notas y materiales.
Discutir conceptos y resolver problemas juntos.

Crear una infografía sobre un concepto estadístico

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Crear una infografía ayuda a sintetizar y comunicar conceptos estadísticos de forma efectiva.

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Elegir un concepto estadístico.
Recopilar datos y crear gráficos.
Diseñar y crear la infografía.

One other activity

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Crear una presentación sobre un tema estadístico

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Crear una presentación ayuda a sintetizar y comunicar información estadística de manera efectiva.

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Elegir un tema estadístico.
Recopilar datos y crear gráficos.
Diseñar y crear la presentación.

Career center

Learners who complete Estadística aplicada a los negocios will develop knowledge and skills that may be useful to these careers:

Statistician

A Statistician collects, analyzes, and interprets data to provide insights into business problems. They develop statistical models and use them to make predictions and recommendations. The course in Applied Statistics for Business can help Statisticians develop the skills they need to analyze data, identify trends, and make recommendations that can help their clients make sound business decisions. The course will also help Statisticians develop the critical thinking and problem-solving skills that are essential for success in this role.

See salaries and explore the career path for Statistician

Data Scientist

A Data Scientist is responsible for developing and using statistical models to solve business problems. They use their expertise in statistics, computer science, and business to develop solutions that can help businesses improve their performance. The course in Applied Statistics for Business can help Data Scientists develop the skills they need to analyze data, identify trends, and make recommendations that can help their clients solve complex business problems. The course will also help Data Scientists develop the critical thinking and problem-solving skills that are essential for success in this role.

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Machine Learning Engineer

A Machine Learning Engineer is responsible for developing and deploying machine learning models. They use their expertise in statistics, computer science, and business to develop solutions that can help businesses automate tasks, improve efficiency, and make better decisions. The course in Applied Statistics for Business can help Machine Learning Engineers develop the skills they need to analyze data, identify trends, and make recommendations that can help their clients solve complex business problems. The course will also help Machine Learning Engineers develop the critical thinking and problem-solving skills that are essential for success in this role.

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Data Analyst

A Data Analyst is responsible for collecting, cleaning, and analyzing data. They use their findings to identify trends and patterns that can help businesses make better decisions. The course in Applied Statistics for Business can help Data Analysts develop the skills they need to analyze data, identify trends, and make recommendations that can help their clients improve their business performance. The course will also help Data Analysts develop the critical thinking and problem-solving skills that are essential for success in this role.

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Research Analyst

A Research Analyst is responsible for conducting research and providing insights into business problems. They use their expertise in statistics, research methods, and business to develop solutions that can help businesses make better decisions. The course in Applied Statistics for Business can help Research Analysts develop the skills they need to analyze data, identify trends, and make recommendations that can help their clients solve complex business problems. The course will also help Research Analysts develop the critical thinking and problem-solving skills that are essential for success in this role.

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Financial Analyst

A Financial Analyst provides financial advice to individuals and organizations. They analyze financial data and make recommendations on investments, insurance, and other financial products. The course in Applied Statistics for Business can help Financial Analysts develop the skills they need to analyze data, identify trends, and make recommendations that can help their clients make sound financial decisions. The course will also help Financial Analysts develop the critical thinking and problem-solving skills that are essential for success in this role.

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Product Manager

A Product Manager is responsible for the development and marketing of a product. They work with engineers, designers, and marketers to create a product that meets the needs of the customer. The course in Applied Statistics for Business can help Product Managers develop the skills they need to analyze data, identify trends, and make decisions that can help them develop and market successful products. The course will also help Product Managers develop the critical thinking and problem-solving skills that are essential for success in this role.

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Quantitative Analyst

A Quantitative Analyst is responsible for developing and using mathematical and statistical models to solve financial problems. They use their expertise in statistics, computer science, and finance to develop solutions that can help businesses make better investment decisions. The course in Applied Statistics for Business can help Quantitative Analysts develop the skills they need to analyze data, identify trends, and make recommendations that can help their clients improve their financial performance. The course will also help Quantitative Analysts develop the critical thinking and problem-solving skills that are essential for success in this role.

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Risk Manager

A Risk Manager is responsible for identifying and managing risks that could affect a business. They analyze data and develop strategies to mitigate risks and protect the business from financial losses. The course in Applied Statistics for Business can help Risk Managers develop the skills they need to analyze data, identify trends, and make recommendations that can help their clients manage risk and protect their business. The course will also help Risk Managers develop the critical thinking and problem-solving skills that are essential for success in this role.

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Market Researcher

A Market Researcher conducts research to understand consumer behavior and market trends. They use this information to develop marketing campaigns and strategies that are designed to reach the target audience. The course in Applied Statistics for Business can help Market Researchers develop the skills they need to collect and analyze data, identify trends, and make recommendations that can help their clients reach their marketing goals. The course will also help Market Researchers develop the critical thinking and problem-solving skills that are essential for success in this role.

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Operations Research Analyst

An Operations Research Analyst uses mathematical and statistical techniques to solve business problems. They develop models that can be used to optimize operations, improve efficiency, and reduce costs. The course in Applied Statistics for Business can help Operations Research Analysts develop the skills they need to analyze data, identify trends, and make recommendations that can help their clients improve their business performance. The course will also help Operations Research Analysts develop the critical thinking and problem-solving skills that are essential for success in this role.

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Business Analyst

A Business Analyst is responsible for analyzing business processes and identifying areas for improvement. They use their understanding of business and technology to develop solutions that meet the needs of the business. The course in Applied Statistics for Business can provide Business Analysts with the skills they need to analyze data, identify trends, and make recommendations that can improve business performance. The course will also help Business Analysts develop the critical thinking and problem-solving skills that are essential for success in this role.

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Sales Manager

A Sales Manager is responsible for leading and motivating a sales team to achieve sales goals. They develop sales strategies, track sales performance, and provide coaching and support to their team. The course in Applied Statistics for Business can help Sales Managers develop the skills they need to analyze data, identify trends, and make decisions that can help them develop and implement successful sales strategies. The course will also help Sales Managers develop the critical thinking and problem-solving skills that are essential for success in this role.

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Software Engineer

A Software Engineer is responsible for designing, developing, and maintaining software applications. They use their expertise in computer science to develop solutions that can help businesses improve their efficiency and productivity. The course in Applied Statistics for Business may be useful for Software Engineers who want to develop a better understanding of how data can be used to improve the design and development of software applications.

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Web Developer

A Web Developer is responsible for designing and developing websites. They use their expertise in computer science to develop solutions that can help businesses reach their target audience and achieve their business goals. The course in Applied Statistics for Business may be useful for Web Developers who want to develop a better understanding of how data can be used to improve the design and development of websites.

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