The R Programming Environment

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课程主页: https://www.coursera.org/archive/r-programming-environment

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Johns Hopkins University

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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.

R编程环境:本课程对R编程语言进行了严格的介绍,特别着重于在数据科学环境中使用R进行软件开发。无论您是数据科学团队的成员还是在开发人员社区中单独工作,本课程都将为您提供R的知识,以便在这些设置中做出有益的贡献。作为专业课程中的第一门课程,该课程为后续课程提供了R的基本基础。我们涵盖R的基本概念和语言基础,整洁数据和相关的“ tidyverse”工具等关键概念,复杂和大型数据集的处理和操纵,文本数据的处理以及基本数据科学任务。完成本课程后,学习者将能够熟练使用R控制台,并且能够从各种可能的数据源中创建整洁的数据集。

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