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R para principiantes

Introducción a R y RStudio

María Ignacia España

Este proyecto guiado R para principiantes: Introducción a R y RStudio está diseñado para estudiantes sin conocimientos previos de R. En este curso basado en proyecto de casi 2 horas aprenderás a:

1. Conocer qué es R y para qué se utiliza

Este proyecto guiado R para principiantes: Introducción a R y RStudio está diseñado para estudiantes sin conocimientos previos de R. En este curso basado en proyecto de casi 2 horas aprenderás a:

1. Conocer qué es R y para qué se utiliza

2. Utilizar RStudio, conocer sus principales beneficios

3. Utilizar comandos básicos de R para análisis de datos

Para lograr esto trabajaremos las siguientes tareas:

1. Conociendo R

2. Conociendo RStudio

3. Utilizando operadores aritméticos y comparativos en R

4. Utilizando contenedores de datos en R

5. Conociendo los ciclos en R

Este es un curso único ya que podrás aprender de manera práctica y simple cómo trabajar con regresiones en R, es por esto que está recomendado para ti si no tienes conocimientos previos en R pero si ganas de aprendera trabajar con esta herramienta, mediante RStudio y comandos básicos que luego podrás utilizar en análisis de datos.

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What's inside

Syllabus

Module 1

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Curso introductorio que desarrolla habilidades para análisis de datos de manera práctica y accesible

Enseña el uso de RStudio, una herramienta esencial para el análisis de datos en R

Dirigido a principiantes sin experiencia previa en R, permitiendo un aprendizaje gradual

Incluye ejercicios prácticos que facilitan la comprensión y aplicación de los conceptos

Abarca temas fundamentales de R, como operadores, contenedores de datos y ciclos

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Activities

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Career center

Learners who complete R para principiantes: Introducción a R y RStudio will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists use various techniques to extract knowledge and insights from data. This course is a good starting point for those interested in a career as a Data Scientist, as it provides a foundation in R and RStudio, which are widely used in the field.

See salaries and explore the career path for Data Scientist

Data Visualization Specialist

Data Visualization Specialists create visual representations of data to communicate insights. This course can help build a foundation for a career as a Data Visualization Specialist, as it provides a foundation in data analysis and visualization.

See salaries and explore the career path for Data Visualization Specialist

Data Analyst

Data Analysts translate raw data into information that businesses can use to make better decisions. A background in R and RStudio is common because it is a platform that allows for the analysis, cleaning, and representation of data. Taking this course R para principiantes: Introducción a R y RStudio will help build a foundation for success in this role.

See salaries and explore the career path for Data Analyst

Machine Learning Engineer

Machine Learning Engineers apply machine learning algorithms to solve problems. This course can help build a foundation for a career as a Machine Learning Engineer, as it provides a foundation in R, which is a popular language for machine learning.

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Biostatistician

Biostatisticians apply statistical methods to solve problems in the health sciences. This course can help build a foundation for a career as a Biostatistician, as it provides a foundation in data analysis and interpretation.

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Business Analyst

Business Analysts bridge the gap between business and IT by analyzing data to identify inefficiencies and create solutions. The course's focus on using R for data analysis and visualization can be helpful for those interested in a career as a Business Analyst.

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Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze financial data. This course can help build a foundation for a career as a Quantitative Analyst, as it provides a foundation in R, which is used in some quantitative analysis applications.

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Epidemiologist

Epidemiologists investigate the causes and distribution of diseases and injuries in populations. This course can help build a foundation for a career in Epidemiology, as it provides a foundation in data analysis and interpretation.

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Market Researcher

Market Researchers analyze market trends, customer behaviors, and industry data to help businesses make informed decisions. This course can help build a foundation for a career in Market Research because of its focus on data analysis and interpretation.

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Risk Analyst

Risk Analysts identify, assess, and mitigate risks. This course can help build a foundation for a career as a Risk Analyst, as it provides a foundation in data analysis and interpretation.

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Actuary

Actuaries use mathematical and statistical techniques to assess risk and uncertainty. The course's focus on using R for data analysis and interpretation can be helpful for those interested in a career as an Actuary, as it is a common tool in the field.

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Statistician

Statisticians collect, interpret, and present data. They also develop and apply statistical methods, theories, and techniques to solve problems in various fields. Because of the course's focus on using R for data analysis, it may be useful for those interested in a career as a Statistician.

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Data Engineer

Data Engineers build, maintain, and manage data systems. This course may be useful for those interested in a career as a Data Engineer, as it provides a foundation in R.

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Financial Analyst

Financial Analysts make recommendations on investments, analyze market trends, and forecast financial performance. This course may be useful for those interested in a career as a Financial Analyst, as it provides a foundation in data analysis and interpretation.

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Software Engineer

Software Engineers design, develop, and maintain software systems. This course may be useful for those interested in a career as a Software Engineer, as it provides a foundation in R, which is used in some software development applications.

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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 R para principiantes: Introducción a R y RStudio.

Understanding the impact of planted forest on...