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.
이 강좌는 Mastering Software Development in R 특화 과정의 일부입니다.
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이 강좌에 대하여
직원에게 수요가 높은 기술을 교육하면 회사가 이점을 얻을 수 있습니까?
비즈니스를 위한 Coursera 경험해 보기귀하가 습득할 기술
- Data Manipulation
- Regular Expression (REGEX)
- R Programming
- Rstudio
직원에게 수요가 높은 기술을 교육하면 회사가 이점을 얻을 수 있습니까?
비즈니스를 위한 Coursera 경험해 보기제공자:
강의 계획표 - 이 강좌에서 배울 내용
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
검토
- 5 stars59.49%
- 4 stars25.08%
- 3 stars7.49%
- 2 stars3.22%
- 1 star4.70%
THE R PROGRAMMING ENVIRONMENT의 최상위 리뷰
The content of the course is very interesting and useful, for those who want to learn a tool that allows them to perform data analysis, just a small detail that is in one of the assignments
Good Practice..........!!!...really helpful for building data science concept through R Programming.........Really salute for hardworking of instructor..................!!!
I liked the swirl() package a lot, made me jump into writing codes into RStudio straight away. My only wish was to have some videos that would push me further
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.
Mastering Software Development in R 특화 과정 정보

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