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
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Programa de cursos integrados Mastering Software Development in RUniversidade Johns HopkinsInformações sobre o curso
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Experimente o Coursera for BusinessHabilidades que você terá
- Data Manipulation
- Regular Expression (REGEX)
- R Programming
- Rstudio
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Programa - O que você aprenderá com este curso
Basic R Language
Basic R Language: Lesson Choices
Data Manipulation
Data Manipulation: Lesson Choices
Text Processing, Regular Expression, & Physical Memory
Text Processing, Regular Expression, & Physical Memory: Lesson Choices
Large Datasets
Avaliações
- 5 stars59,49%
- 4 stars25,08%
- 3 stars7,49%
- 2 stars3,22%
- 1 star4,70%
Principais avaliações do THE R PROGRAMMING ENVIRONMENT
The course is helpful for the R beginners. Learned a lot during the course, and the final week homework led me to review the past 3 weeks' lessons in a practical way. I recommand.
A thorough course that covers a lot of efficient data manipulation styles within the R environment. I learned a lot of neat tricks that help with quick analysis of large data frames.
Great course, and teaches the fundamentals. Google is your friend and websites like RFunction will supplement perfectly. Recommend the use of RStudio to work along course.
Great Introduction, may we worth clarifying that for Data Manipulation the script must be saved before entering submit() as you cannot make progress.
Sobre Programa de cursos integrados Mastering Software Development in R
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