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.
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- 5 stars59.49%
- 4 stars25.08%
- 3 stars7.49%
- 2 stars3.22%
- 1 star4.70%
THE R PROGRAMMING ENVIRONMENT의 최상위 리뷰
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.
Very good overall. I feel that the first weeks are too easy relative to the last week - more involved practice and exercises would have been good before getting to the final quiz.
Excellent class. I had already done a lot of the swirls and would have liked that to be in my record somewhere, although it really wasn't hard--and was probably good--to repeat them.
First three weeks materials are amazing, and I like to interactive with swirl(). If there are some more videos rather than reading materials, it would be interesting.
Mastering Software Development in R 특화 과정 정보
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