Acerca de este Curso
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Nivel intermedio

Aprox. 12 horas para completar

Sugerido: 4 hours/week...

Inglés (English)

Subtítulos: Inglés (English), Chino (simplificado)

Habilidades que obtendrás

Logic ProgrammingR ProgrammingObject-Oriented Programming (OOP)Functional Programming

100 % en línea

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Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Nivel intermedio

Aprox. 12 horas para completar

Sugerido: 4 hours/week...

Inglés (English)

Subtítulos: Inglés (English), Chino (simplificado)

Programa - Qué aprenderás en este curso

8 minutos para completar

Welcome to Advanced R Programming

This course covers advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. Topics covered include functional programming in R, robust error handling, object oriented programming, profiling and benchmarking, debugging, and proper design of functions. Upon completing this course you will be able to identify and abstract common data analysis tasks and to encapsulate them in user-facing functions. Because every data science environment encounters unique data challenges, there is always a need to develop custom software specific to your organization’s mission. You will also be able to define new data types in R and to develop a universe of functionality specific to those data types to enable cleaner execution of data science tasks and stronger reusability within a team.

1 video (Total 1 minutos), 3 readings
3 lecturas
Course Textbook: Mastering Software Development in R1m
swirl Assignments5m
2 horas para completar


This module begins with control structures in R for controlling the logical flow of an R program. We then move on to functions, their role in R programming, and some guidelines for writing good functions.

17 readings
17 lecturas
Control Structures Overview2m
for Loops10m
Nested for loops10m
next, break10m
Functions Overview2m
Function interface10m
Default values10m
Re-factoring code10m
Dependency Checking10m
Argument Checking10m
R package10m
When Should I Write a Function?10m
2 horas para completar

Functions: Lesson Choices

2 quizzes
1 ejercicio de práctica
Swirl Lesson1h
3 horas para completar

Functional Programming

Functional programming is a key aspect of R and is one of R's differentiating factors as a data analysis language. Understanding the concepts of functional programming will help you to become a better data science software developer. In addition, we cover error and exception handling in R for writing robust code.

19 readings
19 lecturas
What is Functional Programming?10m
Core Functional Programming Functions10m
Partial Application10m
Side Effects10m
Execution Environments10m
What is an error?10m
Generating Errors10m
When to generate errors or warnings10m
How should errors be handled?10m
3 horas para completar

Functional Programming: Lesson Choices

2 quizzes
1 ejercicio de práctica
Swirl Lesson1h 30m
2 horas para completar

Debugging and Profiling

Debugging tools are useful for analyzing your code when it exhibits unexpected behavior. We go through the various debugging tools in R and how they can be used to identify problems in code. Profiling tools allow you to see where your code spends its time and to optimize your code for maximum efficiency.

15 readings, 1 quiz
15 lecturas
Debugging Overview2m
Browsing a Function Environment10m
Tracing Functions10m
Using debug() and debugonce()10m
Final Thoughts on Debugging10m
Profiling Overview2m
Find out more10m
Non-standard evaluation10m
1 ejercicio de práctica
Debugging and Profiling30m
5 horas para completar

Object-Oriented Programming

Object oriented programming allows you to define custom data types or classes and a set of functions for handling that data type in a way that you define. R has a three different methods for implementing object oriented programming and we will cover them in this section.

11 readings, 1 quiz
11 lecturas
OOP Overview2m
Object Oriented Principles10m
Reference Classes10m
Reuse existing data structures10m
Compose simple functions with the pipe10m
Embrace functional programming10m
Design for humans10m
94 revisionesChevron Right


comenzó una nueva carrera después de completar estos cursos


consiguió un beneficio tangible en su carrera profesional gracias a este curso

Principales revisiones sobre Advanced R Programming

por FZJun 7th 2017

Very useful, I considered myself quite an advanced R user, but this class raised the level, especially with the R as OOB part. Good investment if you are not a beginner.

por JYMay 8th 2017

It is a good course that forced me to understand the s3 and s4 object of R and have gained an appreciation of "methods belonging to functions not belonging to objects".



Roger D. Peng, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health

Brooke Anderson

Assistant Professor, Environmental & Radiological Health Sciences
Colorado State University

Acerca de Universidad Johns Hopkins

The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world....

Acerca del programa especializado Mastering Software Development in R

This Specialization covers R software development for building data science tools. As the field of data science evolves, it has become clear that software development skills are essential for producing useful data science results and products. You will obtain rigorous training in the R language, including the skills for handling complex data, building R packages and developing custom data visualizations. You will learn modern software development practices to build tools that are highly reusable, modular, and suitable for use in a team-based environment or a community of developers....
Mastering Software Development in R

Preguntas Frecuentes

  • Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.

  • Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.

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