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Generando predicciones con Amazon Forecast

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.

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What's inside

Syllabus

Visión general del proyecto
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.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
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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Activities

Coming soon We're preparing activities for Generando predicciones con Amazon Forecast. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Generando predicciones con Amazon Forecast will develop knowledge and skills that may be useful to these careers:
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 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 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 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 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 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 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 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
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 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 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 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 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 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 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.

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.
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.
Este libro es un texto fundamental sobre aprendizaje profundo. Cubre temas como redes neuronales, aprendizaje de representación y procesamiento del lenguaje natural.
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.
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.
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.

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