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Nestor Nicolas Campos Rojas
En este proyecto de 1 hora, vamos a explorar y usar el servicio Forecast de AWS para poder entrenar y usar un modelo de predicciones en base a series de tiempo.
Register for this course and see more details by visiting:
OpenCourser.com/course/i1hbm4/generando
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What's inside
Syllabus
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Este curso te brindará las bases necesarias para comprender y utilizar el servicio de Forecast de AWS para predecir series temporales
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Reviews summary
Introducción práctica a amazon forecast
Según los estudiantes, este proyecto de una hora ofrece una excelente introducción práctica al servicio Amazon Forecast de AWS. Los participantes destacan que es un curso muy directo y paso a paso, ideal para aprender rápidamente lo básico y ver el servicio en acción. Muchos aprecian las instrucciones claras y que los laboratorios funcionen correctamente. Sin embargo, algunos mencionan que, debido a su duración, el curso es superficial en la teoría de modelos predictivos y que puede requerir conocimientos previos de AWS para evitar dificultades. Es más una demostración funcional que una inmersión profunda.
Requiere cierta familiaridad previa con el entorno de AWS.
"El curso es útil, pero tuve problemas con el entorno de AWS. Faltan algunas explicaciones para principiantes en la nube."
"Fue clave para mí tener un poco de experiencia previa con AWS para seguir el ritmo y no perderme."
"Al inicio, me costó un poco navegar la consola de AWS sin una guía más detallada, aunque luego pude avanzar."
Permite adquirir las bases de forma ágil y eficiente.
"Aprendí lo básico de Forecast en muy poco tiempo. ¡Muy recomendado!"
"Excelente curso para una introducción rápida a Forecast. Ideal para ver cómo funciona el servicio."
"Me guió paso a paso y obtuve una comprensión inicial del servicio rápidamente."
Curso muy directo y orientado a la aplicación del servicio.
"Excelente curso para una introducción rápida a Forecast. Los pasos son claros y el laboratorio funciona perfectamente."
"Muy práctico y al grano. Para ser un proyecto de una hora está muy bien."
"Sencillo y directo. Justo lo que necesitaba para una primera aproximación a Amazon Forecast."
Ofrece una visión general sin profundizar en conceptos.
"Me hubiera gustado un poco más de teoría sobre los modelos..."
"Muy superficial. No explica bien los conceptos detrás de Forecast. No es para quienes buscan entender el ML."
"Entiendo que es un proyecto y no un curso completo, así que ajusto mis expectativas sobre la profundidad."
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 Generando predicciones con Amazon Forecast with these
activities:
Revise Time Series Analysis Fundamentals
Show steps
Review the core concepts and techniques in time series analysis to strengthen your foundation.
Browse courses on
Time Series Analysis
Show steps
-
Explore online resources (e.g., tutorials, articles) on time series analysis.
-
Review textbooks or lecture notes on time series modeling and forecasting.
-
Practice solving problems related to time series analysis.
Peer-to-Peer Forecast Model Discussion
Show steps
Engage with peers to discuss and compare different forecast models, share insights, and learn from each other.
Show steps
-
Join a study group or online forum related to time series forecasting.
-
Present your forecast model and findings to peers.
-
Seek feedback and suggestions on model improvement.
-
Collaborate with peers on developing more effective forecasting approaches.
Show all two activities
Revise Time Series Analysis Fundamentals
Show steps
Review the core concepts and techniques in time series analysis to strengthen your foundation.
Browse courses on
Time Series Analysis
Show steps
Show steps
Show steps
- Explore online resources (e.g., tutorials, articles) on time series analysis.
- Review textbooks or lecture notes on time series modeling and forecasting.
- Practice solving problems related to time series analysis.
Peer-to-Peer Forecast Model Discussion
Show steps
Engage with peers to discuss and compare different forecast models, share insights, and learn from each other.
Show steps
Show steps
Show steps
- Join a study group or online forum related to time series forecasting.
- Present your forecast model and findings to peers.
- Seek feedback and suggestions on model improvement.
- Collaborate with peers on developing more effective forecasting approaches.
Show all two activities
Career center
Learners who complete Generando predicciones con Amazon Forecast will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist is responsible for collecting, analyzing, and interpreting large amounts of data to uncover hidden patterns and trends. This course on Generando predicciones con Amazon Forecast provides a solid foundation in time series forecasting, which is a key skill for Data Scientists. By understanding how to build and evaluate forecasting models, you will be well-equipped to extract meaningful insights from data and make informed decisions.
Data Analyst
Data Analyst
Data Analysts use data to solve business problems and improve decision-making. This course on Generando predicciones con Amazon Forecast will help you develop the skills to analyze time series data, identify trends, and make predictions. These skills are essential for Data Analysts who want to gain insights from data and make recommendations to businesses.
Business Analyst
Business Analyst
Business Analysts use data to understand business needs and improve operations. This course on Generando predicciones con Amazon Forecast will help you develop the skills to analyze time series data, identify trends, and make predictions. These skills are essential for Business Analysts who want to make data-driven recommendations and improve business outcomes.
Financial Analyst
Financial Analyst
Financial Analysts use data to make investment decisions and provide financial advice. This course on Generando predicciones con Amazon Forecast will help you develop the skills to analyze time series data, identify trends, and make predictions. These skills are essential for Financial Analysts who want to make informed investment decisions and provide sound financial advice.
Market Researcher
Market Researcher
Market Researchers use data to understand consumer behavior and market trends. This course on Generando predicciones con Amazon Forecast will help you develop the skills to analyze time series data, identify trends, and make predictions. These skills are essential for Market Researchers who want to gain insights into consumer behavior and make informed decisions about marketing strategies.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use data to improve the efficiency and effectiveness of operations. This course on Generando predicciones con Amazon Forecast will help you develop the skills to analyze time series data, identify trends, and make predictions. These skills are essential for Operations Research Analysts who want to optimize operations and make data-driven decisions.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use data to develop mathematical models and make predictions. This course on Generando predicciones con Amazon Forecast will help you develop the skills to analyze time series data, identify trends, and make predictions. These skills are essential for Quantitative Analysts who want to build and evaluate mathematical models.
Risk Analyst
Risk Analyst
Risk Analysts use data to identify and assess risks. This course on Generando predicciones con Amazon Forecast will help you develop the skills to analyze time series data, identify trends, and make predictions. These skills are essential for Risk Analysts who want to make informed decisions about risk management.
Statistician
Statistician
Statisticians use data to collect, analyze, and interpret data. This course on Generando predicciones con Amazon Forecast will help you develop the skills to analyze time series data, identify trends, and make predictions. These skills are essential for Statisticians who want to make informed decisions about data and make recommendations.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers use data to develop and deploy machine learning models. This course on Generando predicciones con Amazon Forecast provides a solid foundation in time series forecasting, which is a key area of machine learning. By understanding how to build and evaluate forecasting models, you will be well-equipped to develop and deploy machine learning models for a variety of applications.
Data Engineer
Data Engineer
Data Engineers design and build data pipelines to store and process data. This course on Generando predicciones con Amazon Forecast will help you develop the skills to work with time series data, which is a common type of data used in forecasting. By understanding how to store and process time series data, you will be well-equipped to build data pipelines for a variety of applications.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course on Generando predicciones con Amazon Forecast will help you develop the skills to work with time series data, which is a common type of data used in forecasting. By understanding how to work with time series data, you will be well-equipped to develop software applications for a variety of industries.
Product Manager
Product Manager
Product Managers oversee the development and launch of products. This course on Generando predicciones con Amazon Forecast will help you develop the skills to understand how to use time series forecasting to make informed decisions about product development and launch.
Marketing Manager
Marketing Manager
Marketing Managers develop and execute marketing campaigns. This course on Generando predicciones con Amazon Forecast will help you develop the skills to understand how to use time series forecasting to make informed decisions about marketing campaigns.
Sales Manager
Sales Manager
Sales Managers oversee sales teams and develop sales strategies. This course on Generando predicciones con Amazon Forecast will help you develop the skills to understand how to use time series forecasting to make informed decisions about sales strategies.
For more career information including salaries, visit:
OpenCourser.com/course/i1hbm4/generando
Reading list
We've selected 12 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
Generando predicciones con Amazon Forecast.
Save
Este libro proporciona una introducción completa a los principios y prácticas de la previsión. Cubre temas como la preparación de datos, la selección de modelos y la evaluación del rendimiento.
Este libro es un texto fundamental sobre aprendizaje automático. Cubre temas como la regresión lineal, la clasificación, los árboles de decisión y los métodos de agrupación.
Save
Este libro es un texto fundamental sobre aprendizaje profundo. Cubre temas como redes neuronales, aprendizaje de representación y procesamiento del lenguaje natural.
Save
Este libro de texto ampliamente utilizado proporciona una introducción completa a los métodos teóricos y prácticos del análisis de series de tiempo. Cubre temas fundamentales y aplicaciones en diversas áreas.
Este libro es una introducción integral al aprendizaje por refuerzo. Cubre temas como la programación dinámica, el aprendizaje por diferencias temporales y las redes neuronales de valor.
Este libro explora el uso de técnicas de aprendizaje automático para pronósticos de series de tiempo. Proporciona una descripción general de los algoritmos y métodos más populares.
Este libro ofrece una visión general de los diferentes métodos de pronóstico de series temporales basados en el aprendizaje automático. Cubre técnicas como los modelos ARIMA, los modelos LSTM y los árboles de decisión.
Save
Este libro es una guía práctica para crear y desplegar modelos predictivos. Cubre temas como la preparación de datos, la selección de modelos y la evaluación del rendimiento.
Este libro es una guía práctica para implementar soluciones de aprendizaje automático en el mundo real. Cubre temas como la preparación de datos, la selección de modelos y la evaluación del rendimiento.
Save
Este libro presenta una perspectiva econométrica sobre el análisis de series de tiempo. Proporciona una base teórica sólida para comprender los modelos de series de tiempo y sus aplicaciones en econometría.
Este libro práctico guía a los estudiantes y profesionales a través del análisis de series de tiempo utilizando R. Proporciona ejemplos prácticos y un enfoque paso a paso para comprender los métodos y técnicas de pronóstico.
Este libro es una introducción accesible al aprendizaje automático para principiantes. Cubre temas como el aprendizaje supervisado, el aprendizaje no supervisado y la inteligencia artificial.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/i1hbm4/generando
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Effort
1 hora de trabajo
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Nestor Nicolas Campos Rojas
Language
Español
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