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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

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

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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Save R para principiantes: Introducción a R y RStudio to your list so you can find it easily later:

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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 R para principiantes: Introducción a R y RStudio with these activities:

Revise basic arithmetic and algebra

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Solid arithmetic and algebra skills will help with understanding statistical concepts.

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Review basic operations such as addition, subtraction, multiplication, and division.
Practice solving simple equations.

Watch video tutorials on R basics

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Watching video tutorials will help you grasp the fundamentals of R and RStudio.

Browse courses on R

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Find video tutorials on YouTube or other online platforms.
Watch tutorials on topics such as data types, operators, and control flow.

Solve coding exercises on R exercises

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Solving coding exercises will help you apply your understanding of R and improve your problem-solving skills.

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Find coding exercises on websites like HackerRank or LeetCode.
Solve exercises on topics such as data manipulation, visualization, and statistical analysis.

Five other activities

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Create a cheat sheet of R commands

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Creating a cheat sheet will help you memorize and quickly reference important R commands.

Browse courses on R

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List down frequently used R commands.
Organize commands by topic or function.

Build a small data analysis project

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Building a data analysis project will help you apply your skills and showcase your understanding of R.

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Choose a dataset and research a topic.
Clean and explore the data.
Perform statistical analysis and visualize the results.

Join a study group or online forum

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Participating in a study group or online forum will allow you to connect with peers, ask questions, and learn from others.

Browse courses on R

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Find a study group or online forum dedicated to R or data analysis.
Participate in discussions and ask questions.

Help other students in R or data analysis

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Mentoring others will reinforce your understanding of R and help you develop your communication skills.

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Offer to help classmates or join a mentoring program.
Provide guidance on R concepts, coding exercises, or data analysis projects.

Contribute to open-source R projects

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Contributing to open-source projects will expose you to real-world code and best practices.

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Find open-source R projects on GitHub or other platforms.
Contribute by fixing bugs, adding features, or improving documentation.

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.

See salaries and explore the career path for Machine Learning Engineer

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.

See salaries and explore the career path for Biostatistician

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.

See salaries and explore the career path for Business Analyst

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.

See salaries and explore the career path for Quantitative Analyst

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.

See salaries and explore the career path for Epidemiologist

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.

See salaries and explore the career path for Actuary

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.

See salaries and explore the career path for Statistician

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.

See salaries and explore the career path for Data Engineer

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.

See salaries and explore the career path for Financial Analyst

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.

See salaries and explore the career path for Software Engineer

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...

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Este libro es la documentación oficial del lenguaje y el entorno R. Proporciona una referencia completa de la sintaxis y las funciones de R. Es un recurso valioso para aquellos que buscan una comprensión profunda del lenguaje R.

R para principiantes

Introducción a R y RStudio

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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