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Google Career Certificates

Este es el quinto curso del certificado de Análisis computacional de datos de Google. En estos cursos obtendrás las habilidades necesarias para solicitar empleos de analista de datos de nivel introductorio. En este curso, explorarás la fase de “análisis” del proceso de análisis de datos. Aplicarás en tu análisis lo que aprendiste hasta el momento para darle sentido a los datos que recopilaste. Además, aprenderás cómo organizar y formatear tus datos por medio de hojas de cálculo y SQL para observarlos y analizarlos de diferentes maneras. También descubrirás cómo llevar a cabo cálculos complejos con respecto a los datos para lograr tus objetivos empresariales. Aprenderás a usar fórmulas, funciones y consultas de SQL a medida que lleves a cabo tu análisis. Los analistas de datos actuales de Google seguirán dándote instrucciones y te proporcionarán formas prácticas de llevar a cabo las tareas comunes de los analistas de datos con las mejores herramientas y recursos.

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Este es el quinto curso del certificado de Análisis computacional de datos de Google. En estos cursos obtendrás las habilidades necesarias para solicitar empleos de analista de datos de nivel introductorio. En este curso, explorarás la fase de “análisis” del proceso de análisis de datos. Aplicarás en tu análisis lo que aprendiste hasta el momento para darle sentido a los datos que recopilaste. Además, aprenderás cómo organizar y formatear tus datos por medio de hojas de cálculo y SQL para observarlos y analizarlos de diferentes maneras. También descubrirás cómo llevar a cabo cálculos complejos con respecto a los datos para lograr tus objetivos empresariales. Aprenderás a usar fórmulas, funciones y consultas de SQL a medida que lleves a cabo tu análisis. Los analistas de datos actuales de Google seguirán dándote instrucciones y te proporcionarán formas prácticas de llevar a cabo las tareas comunes de los analistas de datos con las mejores herramientas y recursos.

Los alumnos que completen este programa de certificados estarán listos para solicitar trabajos de nivel introductorio como analistas de datos. No se requiere experiencia previa.

Al final de este curso, serás capaz de:

- Aprender cómo organizar los datos para analizarlos.

- Descubrir los procesos de formateo y ajuste de datos.

- Comprender cómo realizar la agregación de datos en hojas de cálculo y por medio de SQL.

- Usar fórmulas y funciones en las hojas de cálculo para realizar cálculos en torno a los datos.

- Aprender a realizar cálculos por medio de consultas de SQL.

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What's inside

Syllabus

Organizar los datos para iniciar el análisis
Organizar los datos facilita el uso de los datos en tu análisis. En esta parte del curso, aprenderás la importancia de organizar tus datos a través de ordenación y filtrado. Explorarás estos procesos tanto en hojas de cálculo como en SQL a medida que prepares tus datos para el análisis.
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Formatear y ajustar datos
A medida que te acerques al análisis de tus datos, querrás tener los datos formateados y listos para avanzar. En esta parte del curso, aprenderás sobre la conversión y el formateo de los datos, incluso cómo las consultas en SQL pueden ayudarte a combinar datos. También descubrirás el valor de la retroalimentación y la colaboración de tus colegas y cómo puede conducir a nuevos aprendizajes para que apliques a tu trabajo.
Agregar datos para análisis
Como parte de tu análisis, a menudo tendrás que combinar datos para obtener información y completar objetivos de negocios. En esta parte del curso, explorarás las funciones, los procedimientos y la sintaxis involucrada en combinar, o agregar, datos. Aprenderás cómo hacerlo a partir de múltiples celdas en hojas de cálculo y múltiples tablas de bases de datos usando consultas de SQL.
Realizar cálculos de datos
Los cálculos son una de las tareas más comunes que realizan los analistas de datos durante el análisis. En esta parte del curso, explorarás fórmulas, funciones y tablas dinámicas en hojas de cálculo y consultas en SQL. Todo esto te ayudará a realizar los cálculos que necesites. También aprenderás sobre los beneficios de utilizar SQL para gestionar las tablas temporales.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Diseñado para preparar a los alumnos para puestos de analista de datos de nivel inicial, sin necesidad de experiencia previa
Desarrollado por Google Career Certificates, lo que indica un rigor y relevancia potencialmente altos
Impartido por analistas de datos actuales de Google, lo que aporta experiencia de la vida real y conocimientos prácticos
El quinto curso de un programa de certificación, que sugiere un enfoque integral de la analítica de datos
El contenido del curso cubre procesos esenciales de análisis de datos, como la organización y el formateo
Enfatiza el uso práctico de herramientas y recursos para realizar análisis de datos

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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 Analizar datos para responder preguntas with these activities:
Revise SQL syntax basics
Familiarize yourself with SQL basics before starting the course.
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  • Review syntax for basic commands such as SELECT, INSERT, UPDATE, and DELETE.
  • Practice writing simple SQL queries.
Review concepts of data organization and manipulation
Refresh your knowledge of data organization and manipulation.
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  • Review concepts of data types, tables, and relationships.
  • Practice manipulating data using basic SQL commands.
Complete SQL exercises
Practice SQL queries to reinforce your understanding.
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  • Find online SQL exercises or use resources from the course.
  • Solve the exercises and check your answers against provided solutions.
Five other activities
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Find a mentor in the data analysis field
Accelerate your learning by finding a mentor in the data analysis field.
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  • Identify potential mentors who have experience and expertise in your areas of interest.
  • Reach out to them and express your interest in mentorship.
  • Set up regular meetings to learn from their insights and guidance.
Follow tutorials on advanced SQL techniques
Expand your SQL knowledge by learning advanced techniques.
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  • Identify areas where you want to improve your SQL skills.
  • Find online tutorials or courses that cover those topics.
  • Follow the tutorials and practice the techniques.
Create a data visualization project
Showcase your data analysis skills by creating a data visualization.
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  • Choose a dataset that interests you.
  • Clean and prepare the data.
  • Use data visualization tools to create charts, graphs, or other visuals.
  • Present your data visualization and insights.
Mentor a junior data analyst
Share your knowledge and experience by mentoring a junior data analyst.
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  • Identify a junior data analyst who could benefit from your guidance.
  • Set up regular meetings to provide support and advice.
  • Share your experiences and best practices.
Contribute to an open-source data analysis project
Gain practical experience and contribute to the community by working on an open-source project.
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  • Find an open-source data analysis project that aligns with your interests.
  • Identify an area where you can contribute, such as bug fixing, documentation, or feature development.
  • Submit your contributions to the project.

Career center

Learners who complete Analizar datos para responder preguntas will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts work closely with data to help make faster, more informed decisions. They help find insights from raw data that can be used to develop actionable insights that can have a positive influence on an organization's bottom line. This course helps students develop these skills by teaching the process of data analysis, organizing data, formatting it and adjusting when necessary, aggregating data, and performing calculations on that data through using formulas and functions in SQL or spreadsheets.
Data Scientist
Data Scientists make use of scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This course can help students begin developing their skills by introducing them to organizing, formatting, aggregating, and performing calculations on data, all of which Data Scientists regularly perform on the job.
Data Engineer
Data Engineers design, construct, deploy, manage, and maintain the data infrastructure used by an organization, including data pipelines, databases, and data warehouses. This course helps students develop the necessary foundational skills, including organizing, formatting, and aggregating data. These are skills that Data Engineers need to perform their jobs effectively.
Business Analyst
Business Analysts blend IT and business skills to understand how a business can use technology to improve its performance. They use data to help translate business requirements into technical solutions. This course helps students learn how to organize, format, aggregate, and perform calculations on data, all of which are helpful skills for Business Analysts to have, especially when working with IT staff.
Statistician
Statisticians collect, analyze, interpret, and present data. They use statistical techniques to transform raw data into useful information. This course helps students build a foundation in data analysis through teaching them to organize, format, aggregate, and perform calculations on data.
Market Researcher
Market Researchers design and conduct research studies to collect data about the needs and wants of consumers. They use this data to make recommendations to help businesses make better decisions. This course can help students develop the skills needed to organize, format, aggregate, and perform calculations on data, all of which are essential skills for Market Researchers.
Financial Analyst
Financial Analysts use their knowledge of financial markets and investment principles to help individuals and organizations make informed decisions about their finances. This course helps students develop the skills needed to organize, format, aggregate, and perform calculations on data, which are essential skills for Financial Analysts.
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve complex problems in various industries, including manufacturing, logistics, and healthcare. This course helps students develop the skills needed to organize, format, aggregate, and perform calculations on data, which are essential skills for Operations Research Analysts.
Software Engineer
Software Engineers design, develop, and maintain software systems. They use their knowledge of programming languages and software development tools to create software that meets the needs of users. This course may be helpful for Software Engineers who want to develop their skills in organizing, formatting, aggregating, and performing calculations on data, all of which are useful skills for Software Engineers to have.
Computer Programmer
Computer Programmers write and maintain the code that makes software and applications run. They use their knowledge of programming languages and software development tools to create software that meets the needs of users. This course may be helpful for Computer Programmers who want to develop their skills in organizing, formatting, aggregating, and performing calculations on data, all of which are useful skills for Computer Programmers to have.
Database Administrator
Database Administrators design, implement, and maintain databases. They use their knowledge of database management systems to ensure that data is stored, organized, and retrieved efficiently. This course may be helpful for Database Administrators who want to develop their skills in organizing, formatting, aggregating, and performing calculations on data, all of which are useful skills for Database Administrators to have.
Information Security Analyst
Information Security Analysts protect computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. They use their knowledge of security principles and technologies to implement and maintain security measures. This course may be helpful for Information Security Analysts who want to develop their skills in organizing, formatting, aggregating, and performing calculations on data, all of which are useful skills for Information Security Analysts to have.
Web Developer
Web Developers design and develop websites. They use their knowledge of HTML, CSS, and JavaScript to create websites that are both visually appealing and functional. This course may be helpful for Web Developers who want to develop their skills in organizing, formatting, aggregating, and performing calculations on data, all of which are useful skills for Web Developers to have.
Computer Systems Analyst
Computer Systems Analysts design, implement, and maintain computer systems. They use their knowledge of hardware and software to create systems that meet the needs of users. This course may be helpful for Computer Systems Analysts who want to develop their skills in organizing, formatting, aggregating, and performing calculations on data, all of which are useful skills for Computer Systems Analysts to have.
Network Administrator
Network Administrators design, implement, and maintain computer networks. They use their knowledge of networking technologies to create networks that are both reliable and secure. This course may be helpful for Network Administrators who want to develop their skills in organizing, formatting, aggregating, and performing calculations on data, all of which are useful skills for Network Administrators to have.

Reading list

We've selected ten 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 Analizar datos para responder preguntas.
This practical guide teaches the fundamentals of machine learning with Python, including supervised and unsupervised learning algorithms. It valuable resource for both beginners and experienced data scientists.
Provides a comprehensive introduction to statistical learning, covering supervised and unsupervised learning algorithms. It valuable resource for data scientists and machine learning practitioners.
Provides a comprehensive overview of data science, covering the process of collecting, cleaning, analyzing, and visualizing data to solve business problems.
Provides a comprehensive introduction to reinforcement learning, covering the fundamental concepts and algorithms used in this field.
Provides a comprehensive introduction to causal inference, covering the fundamental concepts and methods used in this field.
Provides a practical guide to predictive modeling, covering the entire process from data preparation to model evaluation.
Provides a comprehensive introduction to Bayesian data analysis, covering the fundamental concepts and methods used in this field.
Una guía práctica para el análisis de datos utilizando Python, que cubre la importación, limpieza, exploración y visualización de datos, así como el aprendizaje automático básico.

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