用于数据科学课程的 R
R for Data Science 课程可以帮助您学习数据操作、统计分析、数据可视化和机器学习技术。您可以掌握探索性数据分析、假设检验和预测建模的技能。许多课程都会介绍 RStudio 等工具以及 ggplot2 和 dplyr 等软件包，它们支持创建数据 Visualization 和执行复杂的数据 Transformer。通过使用这些工具和方法，您可以有效地分析数据集，并获得有意义的见解。
数据科学的热门 R 课程和认证
状态：免费试用Johns Hopkins University
您将获得的技能: 数据可视化软件, R 语言程序设计（中文版）, 技术文档, 软件测试, 软件文档, 持续集成, 传单（软件）, 数据预处理, 代码审查, 数据清理, GitHub
状态：免费试用Duke University
您将获得的技能: 描述性统计, 统计分析, 概率分布, 抽样（统计）, 统计, R 语言程序设计（中文版）, 贝叶斯统计, 数据分析, R（软件）, 探索性数据分析, 统计推理, 概率
- 状态：预览
Duke University
您将获得的技能: Exploratory Data Analysis, Sampling (Statistics), Probability Distribution, Bayesian Statistics, Data Analysis, Statistical Analysis, Probability, R Programming, Statistics, Quantitative Research, Descriptive Statistics, Statistical Inference
状态：免费试用Johns Hopkins University
您将获得的技能: 数据叙事, 数据可视化软件, 数据导入/导出, 数据展示, 数据扫盲, R 语言程序设计（中文版）, 数据操作, 数据综合, Ggplot2, 数据分析, 故事板, 数据转换, 数据清理, 统计可视化, 数据预处理, 统计报告, 仪表板, Tidyverse（R 软件包）, 制图
状态：免费试用DeepLearning.AI
您将获得的技能: Pandas (Python Package), Data Visualization, Time Series Analysis and Forecasting, Matplotlib, Data Visualization Software, Statistical Inference, Statistical Analysis, Seaborn, Exploratory Data Analysis, Descriptive Statistics, Statistical Modeling, Data Manipulation, Programming Principles, Python Programming, Regression Analysis, Forecasting
状态：免费试用您将获得的技能: Descriptive Statistics, Statistical Hypothesis Testing, Correlation Analysis, Tidyverse (R Package), Data Analysis, Regression Analysis, Probability & Statistics, Statistical Methods, Data Import/Export, Statistical Analysis, R Programming, Data Wrangling, Data Manipulation
状态：免费试用Johns Hopkins University
您将获得的技能: 数据可视化软件, 数据共享, 数据展示, UI 组件, 应用程序开发, 闪亮（R 套件）, Ggplot2, 应用程序部署, 交互式数据可视化, 仪表板
状态：免费试用Case Western Reserve University
您将获得的技能: Geostatistics, Exploratory Data Analysis, Spatial Analysis, Descriptive Statistics, Box Plots, Statistical Modeling, Geospatial Information and Technology, R Programming, Plot (Graphics), Rmarkdown, Data Analysis, Data Cleansing, Statistical Methods, Simulations
状态：预览Ball State University
您将获得的技能: Data Ethics, Data Collection, Probability & Statistics, Statistics, Sampling (Statistics), Data Science, R Programming, Statistical Methods, Data Structures, Data Analysis, Data Capture, Information Privacy, Tidyverse (R Package), Data Quality, Informed Consent, Social Impact, Ethical Standards And Conduct, Data Validation, Algorithms, Big Data
状态：免费试用Università di Napoli Federico II
您将获得的技能: Unsupervised Learning, Supervised Learning, R Programming, R (Software), Artificial Neural Networks, Transfer Learning, Machine Learning, Exploratory Data Analysis, Tidyverse (R Package), Deep Learning, Predictive Modeling, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Wrangling, Data Modeling
状态：免费试用University of Colorado Boulder
您将获得的技能: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Modeling, Statistical Methods, Tidyverse (R Package), Data Literacy, Plot (Graphics), Statistics, Data Manipulation, Data Analysis, Statistical Inference, Data Structures
状态：免费试用University of Colorado Boulder
您将获得的技能: 数据导入/导出, 关系数据库, R 语言程序设计（中文版）, 数据操作, Ggplot2, 数据分析, 数据转换, 数据结构, 数据清理, 编程原则, Tidyverse（R 软件包）
总之，以下是 10 最受欢迎的 r for data science 课程
- 掌握 R 语言软件开发: Johns Hopkins University
- 使用 R 的概率与数据入门: Duke University
- R을 사용한 확률 및 데이터 소개: Duke University
- 数据可视化毕业设计: Johns Hopkins University
- Python for Data Analytics: DeepLearning.AI
- Data Analysis in R with RStudio & Tidyverse: Codio
- 用 Shiny 和 flexdashboard 在 R 中发布可视化内容: Johns Hopkins University
- Using R for Geostatistical Geospatial Modeling : Case Western Reserve University
- Introduction to Data Science: Ball State University
- Machine Learning e Data Mining in R: Università di Napoli Federico II
