In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples.
oferecido por
Universidade Johns HopkinsInformações sobre o curso
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Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Nível intermediário
Familiarity with regression is recommended.
Aprox. 57 horas para completar
Inglês
Legendas: Árabe, Francês, Portuguese (European), Chinês (simplificado), Italiano, Português (Brasil), Vietnamita, Coreano, Alemão, Russo, Inglês, Espanhol, Japonês
O que você vai aprender
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 você terá
- Data Analysis
- Debugging
- R Programming
- Rstudio
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Nível intermediário
Familiarity with regression is recommended.
Aprox. 57 horas para completar
Inglês
Legendas: Árabe, Francês, Portuguese (European), Chinês (simplificado), Italiano, Português (Brasil), Vietnamita, Coreano, Alemão, Russo, Inglês, Espanhol, Japonês
oferecido por
Universidade 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.
Programa - O que você aprenderá com este curso
25 horas para concluir
Week 1: Background, Getting Started, and Nuts & Bolts
This week covers the basics to get you started up with R. The Background Materials lesson contains information about course mechanics and some videos on installing R. The Week 1 videos cover the history of R and S, go over the basic data types in R, and describe the functions for reading and writing data. I recommend that you watch the videos in the listed order, but watching the videos out of order isn't going to ruin the story.
25 horas para concluir
28 vídeos (Total 129 mín.), 9 leituras, 8 testes
12 horas para concluir
Week 2: Programming with R
Welcome to Week 2 of R Programming. This week, we take the gloves off, and the lectures cover key topics like control structures and functions. We also introduce the first programming assignment for the course, which is due at the end of the week.
12 horas para concluir
13 vídeos (Total 91 mín.), 3 leituras, 5 testes
9 horas para concluir
Week 3: Loop Functions and Debugging
We have now entered the third week of R Programming, which also marks the halfway point. The lectures this week cover loop functions and the debugging tools in R. These aspects of R make R useful for both interactive work and writing longer code, and so they are commonly used in practice.
9 horas para concluir
8 vídeos (Total 61 mín.), 2 leituras, 4 testes
11 horas para concluir
Week 4: Simulation & Profiling
This week covers how to simulate data in R, which serves as the basis for doing simulation studies. We also cover the profiler in R which lets you collect detailed information on how your R functions are running and to identify bottlenecks that can be addressed. The profiler is a key tool in helping you optimize your programs. Finally, we cover the str function, which I personally believe is the most useful function in R.
11 horas para concluir
6 vídeos (Total 42 mín.), 4 leituras, 5 testes
Avaliações
- 5 stars68,09%
- 4 stars22,17%
- 3 stars5,84%
- 2 stars2,07%
- 1 star1,80%
Principais avaliações do LINGUAGEM R
por ML2 de nov de 2018
This is a very thorough introduction to R. There are plenty of exercises to quickly get familiar with the language. Some good guided assignments really help getting familiar with coding functions.
por AK26 de mai de 2017
This was very engaging, however, the level of expectation and effort needed is much greater than course 1 - ToolBox.
This is perhaps the best course on R Programming designed for a small duration.
por BP3 de jul de 2019
This course was almost excellent. The tutorials were amazing. I am just going to complain about Assignment 2; inverted matrices weren't a pre-requisite so it was hard to understand that assignment
por GP6 de mai de 2017
Helpful in learning the basics and then some. However, the course assumes you know certain things about the R language and a lot of catching up had to be done (learning from outside sources etc.).
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