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María Ignacia España
En este curso basado en un proyecto y de 1,5 horas de duración, aprenderás las bases de R, aprenderás desde cero cómo comenzar a trabajar con R, los distintos tipos de datos, funciones, ciclos, entre otros temas. A lo largo del proyecto realizaremos distintos ejemplos, los cuales puedes seguir en tiempo real, además de repetirlos hasta que lo comprendas a cabalidad. Este es un curso de bases, por lo cual no necesitas tener conocimientos previos de R.
Register for this course and see more details by visiting:
OpenCourser.com/course/n2uuat/bases
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What's inside
Syllabus
Project Overview
En este proyecto aprenderás a trabajar con R, desde las bases, a crear scripts, los tipos de datos que se pueden utilizar, contenedores, ciclos y pruebas lógicas.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Ideal para principiantes que buscan establecer una base en R
Se enfoca en aspectos fundamentales de R, como tipos de datos, funciones y ciclos
Incluye ejemplos prácticos y ejercicios para reforzar el aprendizaje
Save this course
Save Bases y primeros pasos en R to your list so you can find it easily later:
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Reviews summary
Solid foundation in r
This course provides a solid foundation in R programming for beginners, with clear explanations and hands-on examples. While it is a introductory course, it covers a range of essential concepts and practical applications.
Excellent course for those new to R.
"This is a course of bases, so you don't need to have previous knowledge of R."
Well-explained concepts with easy-to-follow examples.
"The explanations are clear and concise, and the examples are easy to follow."
Hands-on learning through practical projects.
"Throughout the project, we will carry out different examples, which you can follow in real time, as well as repeat them until you fully understand them."
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 Bases y primeros pasos en R with these
activities:
Revise Variables y Tipos de datos
Show steps
Revisa los conceptos básicos de variables y tipos de datos en R para reforzar tu comprensión de los fundamentos del lenguaje.
Browse courses on
Variables
Show steps
-
Repasa los distintos tipos de variables (numéricas, lógicas, carácter, etc.)
-
Practica la creación y asignación de valores a variables
-
Explora los diferentes tipos de datos y sus propiedades
Crea un script de ejemplo
Show steps
Crea un script de ejemplo que automatice una tarea común en R, como la limpieza o el análisis de datos, para reforzar tus habilidades de programación y automatización.
Browse courses on
Scripts
Show steps
-
Define el objetivo del script
-
Escribe el código R para automatizar la tarea
-
Prueba y depura el script
Show all two activities
Revise Variables y Tipos de datos
Show steps
Revisa los conceptos básicos de variables y tipos de datos en R para reforzar tu comprensión de los fundamentos del lenguaje.
Browse courses on
Variables
Show steps
Show steps
Show steps
- Repasa los distintos tipos de variables (numéricas, lógicas, carácter, etc.)
- Practica la creación y asignación de valores a variables
- Explora los diferentes tipos de datos y sus propiedades
Crea un script de ejemplo
Show steps
Crea un script de ejemplo que automatice una tarea común en R, como la limpieza o el análisis de datos, para reforzar tus habilidades de programación y automatización.
Browse courses on
Scripts
Show steps
Show steps
Show steps
- Define el objetivo del script
- Escribe el código R para automatizar la tarea
- Prueba y depura el script
Show all two activities
Career center
Learners who complete Bases y primeros pasos en R will develop knowledge and skills
that may be useful to these careers:
Epidemiologist
Epidemiologist
Epidemiologists investigate the causes and spread of diseases to develop prevention and control strategies. They use statistical software, such as R, to collect, analyze, and interpret data. This course can help aspiring Epidemiologists build a strong foundation in R, which is a valuable tool for collecting and analyzing data.
Research Analyst
Research Analyst
Research Analysts conduct research and analyze data to provide insights and recommendations to businesses and organizations. They use statistical software, such as R, to collect, analyze, and interpret data. This course can help aspiring Research Analysts build a strong foundation in R, which is a valuable tool for collecting and analyzing data.
Financial Analyst
Financial Analyst
Financial Analysts examine and interpret financial data to make investment decisions. They use various statistical and programming tools, such as R, to collect, clean, and analyze data. This course can help aspiring Financial Analysts build a strong foundation in R, which is a valuable tool for working with financial data and extracting meaningful insights.
Market Researcher
Market Researcher
Market Researchers conduct surveys and analyze data to understand consumer behavior and market trends. They use statistical software, such as R, to collect, analyze, and interpret data. This course can help aspiring Market Researchers build a strong foundation in R, which is a valuable tool for collecting and analyzing data.
Business Analyst
Business Analyst
Business Analysts examine and interpret data to help businesses make better decisions. They use various statistical and programming tools, such as R, to collect, clean, and analyze data. This course can help aspiring Business Analysts build a strong foundation in R, which is a valuable tool for working with data and extracting meaningful insights.
Statistician
Statistician
Statisticians collect, analyze, and interpret data to provide insights and recommendations to businesses and organizations. They use statistical software, such as R, to collect, analyze, and interpret data. This course can help build a foundation in R for those interested in working with this software as a Statistician.
Data Analyst
Data Analyst
Data Analysts examine and interpret data to identify patterns and trends to help businesses make better decisions. They use various statistical and programming tools, such as R, to collect, clean, and analyze data. This course can help aspiring Data Analysts build a strong foundation in R, which is a valuable tool for working with data and extracting meaningful insights.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use statistical and programming skills to analyze financial data and make investment decisions. They commonly use R for data analysis and modeling. This course can help build a foundation in R for those interested in working with this software as a Quantitative Analyst.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use statistical and programming skills to analyze data and make recommendations to improve business operations. They use programming languages, such as R, to develop and implement these models. This course provides foundational knowledge in R, which is a valuable tool for Operations Research Analysts.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and maintain machine learning models to automate tasks and improve decision-making. They use programming languages, such as R, to develop and implement these models. This course provides foundational knowledge in R, which is a valuable tool for Machine Learning Engineers.
Data Engineer
Data Engineer
Data Engineers build and maintain data pipelines to make data available for analysis. They use programming languages, such as R, to develop and implement these pipelines. This course provides foundational knowledge in R, which is a valuable tool for Data Engineers.
Bioinformatics Scientist
Bioinformatics Scientist
Bioinformatics Scientists use computational tools to analyze biological data, such as DNA and protein sequences. They use programming languages, such as R, to develop and implement these tools. This course provides foundational knowledge in R, which is a valuable tool for Bioinformatics Scientists.
Biostatistician
Biostatistician
A Biostatistician designs and carries out experiments and studies to find treatments for and prevent diseases. They use statistical methods to collect, analyze, and interpret data. Biostatisticians commonly work in healthcare and scientific research settings and use a variety of software tools to do their jobs, including R. This course can help build a foundation in R for those interested in working with this software as a Biostatistician.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They use programming languages, such as R, to implement these applications. This course provides foundational knowledge in R, which is a valuable tool for Software Engineers.
Data Scientist
Data Scientist
Data Scientists use statistical and programming skills to extract knowledge from data. They work in a variety of industries, including technology, finance, and healthcare. This course provides foundational knowledge in R, a statistical programming language commonly used by Data Scientists. This course may be helpful for those interested in entering this field.
For more career information including salaries, visit:
OpenCourser.com/course/n2uuat/bases
Reading list
We've selected 11 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
Bases y primeros pasos en R.
Este libro es una guía completa para el uso de R para el aprendizaje automático. Cubre una amplia gama de temas, desde los modelos lineales hasta las redes neuronales.
Save
Este libro es una guía práctica para el uso de R para la ciencia de datos. Cubre el procesamiento de datos, la visualización de datos y el modelado estadístico, y está escrito por dos de los expertos más importantes en R.
Save
Este libro es una guía para el uso de R para el aprendizaje profundo. Cubre una amplia gama de temas, desde los modelos básicos de aprendizaje profundo hasta las aplicaciones avanzadas.
Save
Este libro es una guía avanzada para el uso de R. Cubre temas avanzados como la programación funcional, el procesamiento paralelo y el desarrollo de paquetes.
Este libro es una introducción al pensamiento bayesiano y al uso de R y Stan para el modelado bayesiano. Cubre los conceptos básicos del pensamiento bayesiano y cómo utilizar R y Stan para realizar análisis bayesianos.
Save
Este libro es un manual completo de R, que cubre todo, desde la introducción hasta el uso avanzado. Está escrito por un autor experimentado y está lleno de ejemplos prácticos.
Este libro es una guía para el uso de ggplot2, una biblioteca para la creación de gráficos en R. Cubre los conceptos básicos de ggplot2 y cómo utilizarlos para crear gráficos efectivos y hermosos.
Este libro es una guía para el uso de R para el aprendizaje automático. Cubre una amplia gama de temas, desde los modelos lineales hasta el aprendizaje profundo.
Save
Este libro es una colección de recetas para la creación de gráficos en R. Cubre una amplia gama de temas, desde gráficos básicos hasta gráficos avanzados.
Save
Este libro es una introducción a R para principiantes. Cubre los conceptos básicos de R y proporciona una visión general de la ciencia de datos.
Este libro es una introducción a R para principiantes. Cubre los conceptos básicos de R, el procesamiento de datos y la visualización de datos.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/n2uuat/bases
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Effort
2 horas
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
María Ignacia España
Language
Español
Good to know
Ideal para principiantes que buscan establecer una base en R
Se enfoca en aspectos fundamentales de R, como tipos de datos, funciones y ciclos
Incluye ejemplos prácticos y ejercicios para reforzar el aprendizaje
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