Acerca de este Curso

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Resultados profesionales del estudiante

36%

comenzó una nueva carrera después de completar estos cursos

35%

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

11%

consiguió un aumento de sueldo o ascenso
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel intermedio

Familiarity with regression is recommended.

Aprox. 58 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Chino (simplificado), Portugués (de Brasil), Vietnamita, Inglés (English), Español (Spanish), Japonés...

Qué aprenderás

  • Understand critical programming language concepts

  • Configure statistical programming software

  • Make use of R loop functions and debugging tools

  • Collect detailed information using R profiler

Habilidades que obtendrás

Data AnalysisDebuggingR ProgrammingRstudio

Resultados profesionales del estudiante

36%

comenzó una nueva carrera después de completar estos cursos

35%

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

11%

consiguió un aumento de sueldo o ascenso
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel intermedio

Familiarity with regression is recommended.

Aprox. 58 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Chino (simplificado), Portugués (de Brasil), Vietnamita, Inglés (English), Español (Spanish), Japonés...

ofrecido por

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Universidad Johns Hopkins

Programa - Qué aprenderás en este curso

Calificación del contenidoThumbs Up94%(85,415 calificaciones)Info
Semana
1

Semana 1

25 horas para completar

Week 1: Background, Getting Started, and Nuts & Bolts

25 horas para completar
28 videos (Total 129 minutos), 9 lecturas, 8 cuestionarios
28 videos
Installing R on Windows3m
Installing R Studio (Mac)1m
Writing Code / Setting Your Working Directory (Windows)7m
Writing Code / Setting Your Working Directory (Mac)7m
Introduction1m
Overview and History of R16m
Getting Help13m
R Console Input and Evaluation4m
Data Types - R Objects and Attributes4m
Data Types - Vectors and Lists6m
Data Types - Matrices3m
Data Types - Factors4m
Data Types - Missing Values2m
Data Types - Data Frames2m
Data Types - Names Attribute1m
Data Types - Summary43s
Reading Tabular Data5m
Reading Large Tables7m
Textual Data Formats4m
Connections: Interfaces to the Outside World4m
Subsetting - Basics4m
Subsetting - Lists4m
Subsetting - Matrices2m
Subsetting - Partial Matching1m
Subsetting - Removing Missing Values3m
Vectorized Operations3m
Introduction to swirl1m
9 lecturas
Welcome to R Programming10m
About the Instructor10m
Pre-Course Survey10m
Syllabus10m
Course Textbook10m
Course Supplement: The Art of Data Science10m
Data Science Podcast: Not So Standard Deviations10m
Getting Started and R Nuts and Bolts10m
Practical R Exercises in swirl Part 110m
1 ejercicio de práctica
Week 1 Quiz40m
Semana
2

Semana 2

12 horas para completar

Week 2: Programming with R

12 horas para completar
13 videos (Total 91 minutos), 3 lecturas, 5 cuestionarios
13 videos
Control Structures - If-else1m
Control Structures - For loops4m
Control Structures - While loops3m
Control Structures - Repeat, Next, Break4m
Your First R Function10m
Functions (part 1)9m
Functions (part 2)7m
Scoping Rules - Symbol Binding10m
Scoping Rules - R Scoping Rules8m
Scoping Rules - Optimization Example (OPTIONAL)9m
Coding Standards8m
Dates and Times10m
3 lecturas
Week 2: Programming with R10m
Practical R Exercises in swirl Part 210m
Programming Assignment 1 INSTRUCTIONS: Air Pollution10m
2 ejercicios de práctica
Week 2 Quiz20m
Programming Assignment 1: Quiz20m
Semana
3

Semana 3

10 horas para completar

Week 3: Loop Functions and Debugging

10 horas para completar
8 videos (Total 61 minutos), 2 lecturas, 4 cuestionarios
8 videos
Loop Functions - apply7m
Loop Functions - mapply4m
Loop Functions - tapply3m
Loop Functions - split9m
Debugging Tools - Diagnosing the Problem12m
Debugging Tools - Basic Tools6m
Debugging Tools - Using the Tools8m
2 lecturas
Week 3: Loop Functions and Debugging10m
Practical R Exercises in swirl Part 310m
1 ejercicio de práctica
Week 3 Quiz10m
Semana
4

Semana 4

11 horas para completar

Week 4: Simulation & Profiling

11 horas para completar
6 videos (Total 42 minutos), 4 lecturas, 5 cuestionarios
6 videos
Simulation - Generating Random Numbers7m
Simulation - Simulating a Linear Model4m
Simulation - Random Sampling2m
R Profiler (part 1)10m
R Profiler (part 2)10m
4 lecturas
Week 4: Simulation & Profiling10m
Practical R Exercises in swirl Part 410m
Programming Assignment 3 INSTRUCTIONS: Hospital Quality10m
Post-Course Survey10m
2 ejercicios de práctica
Week 4 Quiz20m
Programming Assignment 3: Quiz20m

Revisiones

Principales revisiones sobre PROGRAMACIÓN R

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