This course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting. Whether you are part of a data science team or working individually within a community of developers, this course will give you the knowledge of R needed to make useful contributions in those settings. As the first course in the Specialization, the course provides the essential foundation of R needed for the following courses. We cover basic R concepts and language fundamentals, key concepts like tidy data and related "tidyverse" tools, processing and manipulation of complex and large datasets, handling textual data, and basic data science tasks. Upon completing this course, learners will have fluency at the R console and will be able to create tidy datasets from a wide range of possible data sources.
Este curso faz parte do Programa de cursos integrados Mastering Software Development in R
The R Programming Environment
oferecido por
Informações sobre o curso
4.4
747 classificações
Habilidades que você terá
Data ManipulationRegular Expression (REGEX)R ProgrammingRstudio
Programa - O que você aprenderá com este curso
Semana
1Basic 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.
1 vídeo (total de (Total 2 mín.) min), 27 leituras
1 vídeos
27 leituras
Course Textbook: Mastering Software Development in R1min
Syllabus10min
Swirl Assignments10min
Datasets10min
Lesson Introduction2min
Evaluation3min
Objects1min
Numbers1min
Creating Vectors1min
Mixing Objects1min
Explicit Coercion3min
Matrices3min
Lists2min
Factors4min
Missing Values3min
Data Frames3min
Names4min
Attributes1min
Summary1min
The Importance of Tidy Data5min
The “Tidyverse”4min
Reading Tabular Data with the readr Package10min
Reading Web-Based Data1min
Flat files online10min
Requesting data through a web API10min
Scraping web data2min
Parsing JSON, XML, or HTML data3min
Basic R Language: Lesson Choices
2 testes
1 exercício prático
Swirl Lessonss
Semana
2Data 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.
11 leituras
11 leituras
Basic Data Manipulation10min
Piping7min
Summarizing data10min
Selecting and filtering data10min
Adding, changing, or renaming columns7min
Spreading and gathering data10min
Merging datasets10min
Working with Dates, Times, Time Zones3min
Converting to a date or date-time class7min
Pulling out date and time elements5min
Working with time zones8min
Data Manipulation: Lesson Choices
2 testes
1 exercício prático
Swirl Lessonss
Semana
3Text 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.
9 leituras
9 leituras
Text Processing and Regular Expressions1min
Text Manipulation Functions in R10min
Regular Expressions15min
RegEx Functions in R5min
The stringr Package10min
Summary1min
The Role of Physical Memory10min
Back of the Envelope Calculations8min
Internal Memory Management in R5min
Text Processing, Regular Expression, & Physical Memory: Lesson Choices
Choice 1: Get credit while using swirl | Choice 2: Get credit by providing a code from swirl
2 testes
1 exercício prático
Swirl Lessonss
Semana
4Large 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.
7 leituras, 1 teste
7 leituras
Working with Large Datasets2min
In-memory strategies10min
Out-of-memory strategies10min
Diagnosing Problems5min
How to Google Your Way Out of a Jam5min
Asking for Help5min
Quiz Instructionss
1 exercício prático
Reading and Summarizing Data20min
45%
comecei uma nova carreira após concluir estes cursos
40%
consegui um benefício significativo de carreira com este curso
13%
recebi um aumento ou promoção
Melhores avaliações
por MV•Dec 26th 2018
Very Very Rigorous Course for a beginner on R language and because of its nature, after completing just one course, I feel like I have gained a lot of knowledge and also familiarity with R language.
por VS•May 28th 2017
Good Practice..........!!!...really helpful for building data science concept through R Programming.........Really salute for hardworking of instructor..................!!!
Instrutores
Roger D. Peng, PhD
Associate Professor, BiostatisticsBloomberg School of Public Health
Brooke Anderson
Assistant Professor, Environmental & Radiological Health SciencesColorado State University
Sobre 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.
Sobre o Programa de cursos integrados 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.
Perguntas Frequentes – FAQ
Quando terei acesso às palestras e às tarefas?
Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.
O que recebo ao me inscrever nesta Especialização?
Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.
Qual é a política de reembolso?
Existe algum auxílio financeiro disponível?
Mais dúvidas? Visite o Central de Ajuda ao Aprendiz.
O Coursera proporciona acesso universal à melhor educação do mundo fazendo parcerias com as melhores universidades e organizações para oferecer cursos on-line.
© 2019 Coursera Inc. Todos os direitos reservados.
