Curso de Google para Analistas de Datos: Aprende a Analizar Datos

Author

Reads 591

Abstract visualization of data analytics with graphs and charts showing dynamic growth.
Credit: pexels.com, Abstract visualization of data analytics with graphs and charts showing dynamic growth.

Are you interested in becoming a data analyst? Google offers a course to help you develop the skills you need to analyze data and make informed decisions.

The Curso de Google para Analistas de Datos is a comprehensive course that covers the basics of data analysis, including how to collect, organize, and visualize data. This course is designed for beginners and professionals alike.

In this course, you'll learn how to use Google's tools, such as Google Data Studio and Google Sheets, to analyze data and create interactive dashboards. You'll also learn how to use SQL to extract data from databases and how to use machine learning to predict outcomes.

The course is self-paced, so you can learn at your own speed, and it's free, so you won't have to worry about any additional costs.

Curious to learn more? Check out: Nexus S

Objetivos del Curso

The main objective of this course is to equip students with important skills in data analysis that can be applied in the workforce.

You can complete the 8-class course in less than 6 months by dedicating at least 10 hours a week.

The course is designed to help you become proficient in data analysis and Python, making it particularly useful for those who study or work in programming, data analytics, or statistics.

Dirección a quién

Focused businesswoman on call analyzing financial data displayed on whiteboard charts.
Credit: pexels.com, Focused businesswoman on call analyzing financial data displayed on whiteboard charts.

This course is directed at people interested in data analysis and Python programming.

The course is specifically designed for professionals, particularly those who work with data in their professional environment.

Ingenieros, analistas, and those who work with data are the target audience for this course.

You'll need a good level of English to take the course, as it's taught in English.

Data Analyst Path

The Data Analyst Path is a great career choice, and this course can help you get there. It's free, so you can try it out without any financial risk.

The course is designed for those interested in data analysis and Python, and it's especially useful for programmers, analysts, and statisticians. You'll need to have some prior knowledge in the field and a good level of English to follow the course.

The course consists of 16 modules, and you'll need a computer with a stable internet connection to access the materials. Profesionals from Google Cloud will be guiding you through the learning process.

Credit: youtube.com, Data Analyst Career Paths

As a Data Analyst, you'll be gathering, processing, and analyzing data to inform business decisions. You'll also be creating visualizations and sharing insights with stakeholders. Some potential job titles in this field include:

  • Analista de datos junior
  • Analista de datos asociado
  • Científico de datos junior
  • Analista financiero
  • Analista de operaciones
  • Técnico de datos
  • Analista de rendimiento empresarial
  • Analista de marketing
  • Analista de inteligencia de negocios
  • Analista de atención de la salud

By taking this course, you'll be well on your way to a career in data analysis.

Contenido del Curso

The "Análisis de datos" course on Google is a comprehensive program that covers a wide range of topics. This course is designed to be completed in less than 6 months, with a minimum of 10 hours of study per week.

The course consists of 8 classes, which cover important skills that can be applied in a work setting. You can also watch the course with Spanish subtitles, making it more accessible to Spanish speakers.

Here are some of the key topics that you'll learn in the course:

  • Fundamentos de Big Data y Machine Learning de Google Cloud
  • Explorar y preparar sus datos con BigQuery
  • Creación de nuevos conjuntos de datos de BigQuery y visualización de estadísticas
  • Lograr información avanzada con BigQuery
  • Aplicar el aprendizaje automático a los datos con Google Cloud
  • Análisis y visualización de datos en Looker
  • Desarrollo de modelos de datos con LookML
  • Realizar tareas de datos básicas, aprendizaje automático e inteligencia artificial en Google Cloud

Course Outline

The course outline for the Data Analyst learning path is quite comprehensive. The course is designed to be completed in less than 6 months, with a minimum of 10 hours of study per week.

Credit: youtube.com, CourseSites: Estructura del Curso

You'll have the opportunity to learn from Google Cloud and explore various tools and technologies, including BigQuery, Looker, and Machine Learning.

The course covers a wide range of topics, including data analysis, visualization, and machine learning. You'll learn how to work with BigQuery, Looker, and Google Cloud to extract insights from data.

Here's a breakdown of the course topics:

  • Un recorrido por Qwiklabs y Google Cloud
  • Fundamentos de Big Data y Machine Learning de Google Cloud
  • Explorar y preparar sus datos con BigQuery
  • Creación de nuevos conjuntos de datos de BigQuery y visualización de estadísticas
  • Lograr información avanzada con BigQuery
  • Aplicar el aprendizaje automático a los datos con Google Cloud
  • Análisis y visualización de datos en Looker
  • Desarrollo de modelos de datos con LookML
  • Realizar tareas de datos básicas, aprendizaje automático e inteligencia artificial en Google Cloud
  • Exploración de datos con Looker
  • Información valiosa de los datos con BigQuery
  • BigQuery para el aprendizaje automático
  • Aplicación de conceptos avanzados de LookML en Looker
  • Fundamentos del catálogo de datos
  • Cree objetos LookML en Looker
  • Administrar modelos de datos en Looker

Dataflow Processing

Dataflow is a fully-managed service that allows you to transform and enrich data in stream or batch mode.

You can use Dataflow to process large-scale data sets and integrate with other Google Cloud services like BigQuery and Cloud Storage.

Dataflow is particularly useful for processing IoT data, which can be a complex and time-consuming task due to its high volume and velocity.

With Dataflow, you can build pipelines that process IoT data in real-time, making it easier to gain insights and make informed decisions.

Dataflow integrates with TensorFlow, a popular open-source machine learning library, allowing you to build and deploy machine learning models directly within the pipeline.

Here are some key features of Dataflow:

  • Support for batch and stream processing
  • Integration with BigQuery and Cloud Storage
  • Ability to process IoT data in real-time
  • Integration with TensorFlow for machine learning

Acceso y Uso

Credit: youtube.com, Google Data Analytics Professional Certificate | My Honest Opinion

The course on data analysis by Google is completely free, and you can access it without any cost.

The course is imparted by Google Cloud, and you can participate in it for free.

To further enhance your learning experience, you can also consider other free courses, such as the one on data analysis for Excel or the one on data analysis with Python.

Curious to learn more? Check out: Nexus One

Consigue Un Trabajo En Análisis De Datos

Consigue un trabajo en análisis de datos con la ayuda de Google. Aprende los aspectos básicos del análisis de datos e incorpora las habilidades necesarias para impulsar tu carrera profesional en un campo de rápido crecimiento.

La carrera de analista de datos es emocionante y en constante evolución. Los analistas de datos preparan, procesan y analizan datos para guiar decisiones comerciales.

Algunos empleos en demanda en análisis de datos incluyen:

  • Analista de datos junior
  • Analista de datos asociado
  • Científico de datos junior
  • Analista financiero
  • Analista de operaciones
  • Técnico de datos
  • Analista de rendimiento empresarial
  • Analista de marketing
  • Analista de inteligencia de negocios
  • Analista de atención de la salud

Los certificados en análisis de datos pueden ser una excelente opción para aquellos que buscan desarrollar una carrera profesional en este campo. Algunos ejemplos de historias de éxito incluyen: Rachel L., quien encontró que el certificado fue "una introducción fabulosa, además de inspiradora" para sus primeros pasos como analista de datos.

Acceso Al Curso

Laptop displaying Google Analytics in a modern workspace, highlighting digital analytics and technology.
Credit: pexels.com, Laptop displaying Google Analytics in a modern workspace, highlighting digital analytics and technology.

You can access the course to become a Data Analyst by Google for free. The course is offered by Google Cloud and both registration and participation are completely free.

The course is imparted by Google Cloud, so you know it's going to be high-quality.

Frequently Asked Questions

¿Cuánto cuesta un curso de análisis de datos para Google?

El costo de un curso de análisis de datos para Google es $49 al mes después de un período de prueba gratuito de 7 días. Puedes completarlo en menos de 6 meses con menos de 10 horas semanales de estudio.

¿Cuánto cuesta el certificado profesional de análisis de datos de Google?

El certificado profesional de Análisis de datos de Google cuesta $300/mes con tu suscripción a Coursera. Obtén conocimientos y habilidades en análisis de datos con el certificado de Google.

Lee Mohr

Writer

Lee Mohr is a skilled writer with a passion for technology and innovation. With a keen eye for detail and a knack for explaining complex concepts, Lee has established himself as a trusted voice in the industry. Their writing often focuses on Azure Virtual Machine Management, helping readers navigate the intricacies of cloud computing and virtualization.

Love What You Read? Stay Updated!

Join our community for insights, tips, and more.