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Anita Quevedo Solidoro

Al final de este proyecto, tú entenderás y aplicarás el servicio de Amazon Athena para poder analizar tus propia data y generar insigths de la misma.

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What's inside

Syllabus

Project Overview
Aquí se describirá de qué se trata el proyecto. Debe ser una descripción general de los logros que alcanzará el estudiante al finalizar el proyecto. En este curso se aprenderá a usar Amazon Athena para analizar los datos de Amazon S3 utilizando SQL estándar.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Este curso te enseñará a utilizar Amazon Athena para analizar datos de Amazon S3 con SQL estándar, lo que es una habilidad esencial en la industria
El curso está dirigido a personas que buscan aprender una herramienta valiosa para el análisis de datos y obtener información valiosa
El plan de estudios del curso cubre los conceptos básicos de Amazon Athena y proporciona ejemplos prácticos, lo que lo hace adecuado para principiantes

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Reviews summary

In-depth athena introduction

This course offers learners a concise and useful introduction to Amazon Athena, allowing them to begin using SQL to analyze their own data almost immediately.
Concise and to the point.
"...Focused and useful project..."
Clear instruction and an easy-to-follow format.
"...Good introductory course and quite well explained..."

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 Análisis serverless de data en Amazon S3 usando Athena with these activities:
Organiza tus materiales de estudio
Organizar tus materiales de estudio te ayudará a mantenerte organizado y a encontrar la información que necesitas fácilmente.
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  • Recopila todos tus materiales de estudio, incluidos apuntes, diapositivas y tareas.
  • Crea un sistema para organizar tus materiales, como carpetas o un cuaderno.
Revisa los conceptos básicos de SQL
Repasar los conceptos básicos de SQL te ayudará a refrescar tu memoria y fortalecer tu comprensión antes de comenzar el curso.
Browse courses on SQL
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  • Revisa tus notas o materiales de estudio anteriores sobre SQL.
  • Completa cuestionarios o ejercicios de práctica para evaluar tu comprensión.
Tuturiales introductorios a Amazon Athena
Comienza tu aprendizaje con tutoriales guiados para familiarizarte con los conceptos básicos de Amazon Athena.
Browse courses on Amazon Athena
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  • Identifica los recursos de aprendizaje.
  • Completa los tutoriales introductorios.
Nine other activities
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Sigue tutoriales introductorios
Seguir tutoriales en línea te ayudará a familiarizarte con los conceptos básicos de SQL y Athena, lo que facilitará el aprendizaje del curso.
Browse courses on SQL
Show steps
  • Busca tutoriales para principiantes sobre SQL y Athena.
  • Completa los tutoriales en orden.
Ejercicios prácticos con SQL
Refuerza tus habilidades de SQL resolviendo ejercicios prácticos que te ayudarán a comprender mejor su sintaxis y funcionalidad.
Browse courses on SQL
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  • Recopila problemas de práctica.
  • Resuelve los ejercicios de práctica.
  • Revisa tus soluciones.
Realiza ejercicios de práctica
Los ejercicios de práctica te permitirán aplicar tus conocimientos de SQL y Athena en escenarios prácticos, reforzando tu comprensión.
Browse courses on Athena
Show steps
  • Busca conjuntos de datos de ejemplo en línea.
  • Crea consultas SQL para recuperar y analizar los datos.
Comienza un proyecto de análisis de datos
Iniciar un proyecto de análisis de datos te permitirá aplicar tus conocimientos y habilidades de Athena en un escenario práctico.
Browse courses on Athena
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  • Define un problema de análisis de datos.
  • Recopila y carga los datos necesarios.
  • Crea consultas SQL para analizar los datos.
  • Interpreta los resultados y extrae información valiosa.
  • Crea un informe o presentación para comunicar tus hallazgos.
Taller: Técnicas avanzadas de análisis de datos con Amazon Athena
Asiste a un taller para obtener capacitación práctica y profundizar tus conocimientos sobre técnicas avanzadas de análisis de datos con Amazon Athena.
Browse courses on Amazon Athena
Show steps
  • Localiza talleres relevantes.
  • Regístrate en el taller.
  • Asiste al taller.
Asiste a talleres sobre Athena y SQL
Asistir a talleres te brindará oportunidades prácticas para aprender de expertos y mejorar tus habilidades en el uso de Athena y SQL.
Browse courses on Athena
Show steps
  • Busca talleres sobre Athena y SQL en tu área o en línea.
  • Inscríbete en los talleres que te interesen.
  • Asiste a los talleres y participa activamente.
Proyecto: Analiza un conjunto de datos con Amazon Athena
Aplica tus conocimientos creando un proyecto que implique analizar un conjunto de datos utilizando Amazon Athena. Esto te brindará experiencia práctica y te ayudará a consolidar tu comprensión.
Browse courses on Amazon Athena
Show steps
  • Define el alcance de tu proyecto.
  • Recopila el conjunto de datos.
  • Analiza los datos con Amazon Athena.
  • Interpreta los resultados.
Construye un panel de control para visualizar datos de Amazon Athena
Desarrolla un proyecto más desafiante que involucre la creación de un panel de control para visualizar los datos analizados con Amazon Athena, lo que te permitirá presentar los insights de tus análisis de manera efectiva.
Show steps
  • Selecciona la herramienta de visualización.
  • Diseña el panel de control.
  • Conecta el panel de control a Amazon Athena.
  • Implementa el panel de control.
Comparte tus conocimientos ayudando a otros
Compartiendo tus conocimientos con otros, no solo reforzarás tu comprensión, sino que también ayudarás a otros a aprender y crecer.
Show steps
  • Ofrécete como voluntario para ayudar a otros estudiantes en foros o grupos de estudio.
  • Comparte tus experiencias y conocimientos con otros que recién comienzan.

Career center

Learners who complete Análisis serverless de data en Amazon S3 usando Athena will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts typically gather and explore data, analyze it, and create data-driven insights to help make business decisions. Amazon Athena is a fully managed interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. As a Data Analyst, taking this course can provide you with valuable skills to effectively analyze data and extract meaningful insights for decision-making. It can also introduce you to the concepts of serverless data analysis, which is becoming increasingly important in the field.
Data Engineer
Data Engineers design and build data pipelines that collect, process, and store data. They also work with data scientists and analysts to develop data models and create reports. This course can help you build a foundation in serverless data analysis using Amazon Athena, a valuable skill for Data Engineers. By understanding how to use Athena, you can effectively analyze data in Amazon S3 and contribute to the development of data pipelines.
Business Intelligence Analyst
Business Intelligence Analysts use data analysis techniques to help businesses make informed decisions. They gather and analyze data from various sources, including Amazon S3, to identify trends and patterns. This course can provide you with hands-on experience in analyzing data using Amazon Athena, which can enhance your skills in data analysis and business intelligence.
Database Administrator
Database Administrators maintain and optimize databases, ensuring that they are available, reliable, and secure. As a Database Administrator, taking this course can help you gain a better understanding of data analysis and SQL, which can be beneficial for managing and maintaining databases.
Software Engineer
Software Engineers design, develop, and maintain software systems. This course can help you build a foundation in serverless data analysis, which can be useful for developing data-driven applications and systems. By understanding how to use Amazon Athena, you can effectively analyze data in Amazon S3 and integrate it into your software solutions.
Data Scientist
Data Scientists use scientific methods and statistical techniques to extract knowledge and insights from data. This course can help you develop skills in data analysis and SQL, which are essential for Data Scientists. By understanding how to use Amazon Athena, you can effectively analyze large datasets in Amazon S3 and apply your scientific knowledge to uncover valuable insights.
Cloud Architect
Cloud Architects design, plan, and manage cloud computing systems. This course can help you build a foundation in serverless data analysis on the cloud, which can be valuable for Cloud Architects. By understanding how to use Amazon Athena, you can effectively analyze data in Amazon S3 and design cloud systems that meet the data analysis needs of your organization.
Data Warehouse Engineer
Data Warehouse Engineers design, develop, and maintain data warehouses, which are large-scale data repositories that store and organize data from various sources. This course can help you gain experience in analyzing data using Amazon Athena, which can be useful for designing and maintaining data warehouses. By understanding how to use Athena, you can effectively analyze data and optimize the performance of data warehouses.
Product Manager
Product Managers are responsible for managing the development and launch of new products or features. This course can help you develop skills in data analysis and SQL, which can be useful for understanding user behavior and making data-driven product decisions. By understanding how to use Amazon Athena, you can effectively analyze data from Amazon S3 and use it to inform product decisions.
Market Researcher
Market Researchers conduct research studies to gather information about the market, customers, and competitors. This course can help you develop skills in data analysis and SQL, which can be useful for analyzing market data and identifying trends. By understanding how to use Amazon Athena, you can effectively analyze data from Amazon S3 and gain insights into the market.
Financial Analyst
Financial Analysts evaluate financial data and make recommendations for investments or financial planning. This course can help you develop skills in data analysis and SQL, which can be useful for analyzing financial data and making informed decisions. By understanding how to use Amazon Athena, you can effectively analyze financial data from Amazon S3 and gain insights into investment opportunities.
Statistician
Statisticians collect, analyze, and interpret data. This course can help you develop skills in data analysis and SQL, which can be useful for analyzing statistical data and drawing meaningful conclusions. By understanding how to use Amazon Athena, you can effectively analyze large datasets in Amazon S3 and apply statistical techniques to uncover patterns and trends.
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve complex problems in business and industry. This course can help you develop skills in data analysis and SQL, which can be useful for analyzing operational data and identifying areas for improvement. By understanding how to use Amazon Athena, you can effectively analyze operational data from Amazon S3 and develop solutions to optimize processes and increase efficiency.
Epidemiologist
Epidemiologists investigate the causes and spread of diseases in populations. This course may be useful for Epidemiologists who want to develop skills in data analysis and SQL, which can be useful for analyzing epidemiological data and identifying patterns of disease spread. By understanding how to use Amazon Athena, Epidemiologists can effectively analyze data from Amazon S3 and contribute to the understanding and prevention of diseases.
UX Researcher
UX Researchers study how users interact with products and services. This course may be useful for UX Researchers who want to develop skills in data analysis and SQL, which can be useful for analyzing user experience data and identifying areas for improvement. By understanding how to use Amazon Athena, UX Researchers can effectively analyze data from Amazon S3 and gain insights into user behavior.

Reading list

We've selected nine 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 Análisis serverless de data en Amazon S3 usando Athena.
Este libro ofrece una base sólida en SQL, el lenguaje utilizado para consultar datos en Amazon Athena, cubriendo desde conceptos básicos hasta técnicas avanzadas.
Este libro proporciona una introducción a la computación de alto rendimiento en el contexto del big data, cubriendo técnicas y tecnologías relevantes para el análisis de datos con Amazon Athena.
Este libro se centra en la visualización de datos, un aspecto esencial del análisis de datos, proporcionando técnicas y herramientas para presentar información de manera efectiva.
Este libro se centra en el análisis de datos con Apache Spark, una plataforma de procesamiento de big data que proporciona información valiosa sobre las técnicas y los algoritmos que subyacen a Amazon Athena.
Este libro proporciona una visión general de la ciencia de datos, cubriendo los principios y las técnicas que son aplicables al análisis de datos con Amazon Athena.
Este libro ofrece una introducción práctica al análisis de big data, cubriendo las herramientas y técnicas necesarias para trabajar con grandes conjuntos de datos, como los que se analizan con Amazon Athena.

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