Acerca de este Curso
4.4
728 calificaciones
192 revisiones
100 % en línea

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Nivel intermedio

Nivel intermedio

Horas para completar

Aprox. 14 horas para completar

Sugerido: 9 hours/week...
Idiomas disponibles

Inglés (English)

Subtítulos: Inglés (English)

Habilidades que obtendrás

Data ManipulationRegular Expression (REGEX)R ProgrammingRstudio
100 % en línea

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Nivel intermedio

Nivel intermedio

Horas para completar

Aprox. 14 horas para completar

Sugerido: 9 hours/week...
Idiomas disponibles

Inglés (English)

Subtítulos: Inglés (English)

Programa - Qué aprenderás en este curso

Semana
1
Horas para completar
5 horas para completar

Basic R Language

In this module, you'll learn the basics of R, including syntax, some tidy data principles and processes, and how to read data into R. ...
Reading
1 video (Total 2 minutos), 27 readings, 1 quiz
Reading27 lecturas
Course Textbook: Mastering Software Development in R1m
Syllabus10m
Swirl Assignments10m
Datasets10m
Lesson Introduction2m
Evaluation3m
Objects1m
Numbers1m
Creating Vectors1m
Mixing Objects1m
Explicit Coercion3m
Matrices3m
Lists2m
Factors4m
Missing Values3m
Data Frames3m
Names4m
Attributes1m
Summary1m
The Importance of Tidy Data5m
The “Tidyverse”4m
Reading Tabular Data with the readr Package10m
Reading Web-Based Data1m
Flat files online10m
Requesting data through a web API10m
Scraping web data2m
Parsing JSON, XML, or HTML data3m
Quiz1 ejercicio de práctica
Swirl Lessonss
Semana
2
Horas para completar
4 horas para completar

Data Manipulation

During this module, you'll learn to summarize, filter, merge, and otherwise manipulate data in R, including working through the challenges of dates and times. ...
Reading
11 readings, 1 quiz
Reading11 lecturas
Basic Data Manipulation10m
Piping7m
Summarizing data10m
Selecting and filtering data10m
Adding, changing, or renaming columns7m
Spreading and gathering data10m
Merging datasets10m
Working with Dates, Times, Time Zones3m
Converting to a date or date-time class7m
Pulling out date and time elements5m
Working with time zones8m
Quiz1 ejercicio de práctica
Swirl Lessonss
Semana
3
Horas para completar
4 horas para completar

Text Processing, Regular Expression, & Physical Memory

During this module, you'll learn to use R tools and packages to deal with text and regular expressions. You'll also learn how to manage and get the most from your computer's physical memory when working in R. ...
Reading
9 readings, 1 quiz
Reading9 lecturas
Text Processing and Regular Expressions1m
Text Manipulation Functions in R10m
Regular Expressions15m
RegEx Functions in R5m
The stringr Package10m
Summary1m
The Role of Physical Memory10m
Back of the Envelope Calculations8m
Internal Memory Management in R5m
Quiz1 ejercicio de práctica
Swirl Lessonss
Semana
4
Horas para completar
5 horas para completar

Large Datasets

In this final module, you'll learn how to overcome the challenges of working with large datasets both in memory and out as well as how to diagnose problems and find help....
Reading
7 readings, 1 quiz
Reading7 lecturas
Working with Large Datasets2m
In-memory strategies10m
Out-of-memory strategies10m
Diagnosing Problems5m
How to Google Your Way Out of a Jam5m
Asking for Help5m
Quiz Instructionss
Quiz1 ejercicio de práctica
Reading and Summarizing Data20m
4.4
192 revisionesChevron Right
Dirección de la carrera

42%

comenzó una nueva carrera después de completar estos cursos
Beneficio de la carrera

33%

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

11%

consiguió un aumento de sueldo o ascenso

Principales revisiones

por VSMay 28th 2017

Good Practice..........!!!...really helpful for building data science concept through R Programming.........Really salute for hardworking of instructor..................!!!

por AHAug 5th 2017

The R Programing Environment is very supportive environment, and I appriciate the guideline and the materials. futhermore, the course was good begining. Thanks

Instructores

Avatar

Roger D. Peng, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health
Avatar

Brooke Anderson

Assistant Professor, Environmental & Radiological Health Sciences
Colorado State University

Acerca de Johns Hopkins University

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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