R 课程
R 课程可以帮助您学习数据操作、统计分析、数据可视化和编程基础。您可以掌握创建可重复研究、执行 Regression 分析和实施机器学习算法的技能。许多课程都会介绍 RStudio 等工具以及 ggplot2 和 dplyr 等软件包，这些都能提高您分析数据集和有效展示研究结果的能力。
热门 R 课程和认证
状态：免费试用Meta
状态：免费试用Duke University
您将获得的技能: 生成式人工智能, 云计算, Docker (软件), 无服务器计算, 大型语言建模, 自然语言处理, Amazon Web Services, 数据管道, 测试案例, 应用程序部署, 拥抱的脸, 詹金斯, 拉斯特（编程语言）, 命令行界面, CI/CD, DevOps, 恢复性应用程序接口, 计算机编程, 集装箱化, 法学硕士申请
状态：新状态：免费试用您将获得的技能: Exploratory Data Analysis, Data Manipulation, Statistical Analysis, R (Software), Analytical Skills, Ggplot2, Data Storytelling, R Programming, Statistical Methods, Quantitative Research, Data Visualization Software, Data Science, Data Preprocessing, Probability & Statistics, Scatter Plots, Business Analytics, Statistical Visualization, Correlation Analysis, Descriptive Statistics, Data Analysis
状态：免费试用Duke University
您将获得的技能: 编程原则, 解决问题, 数据结构, 软件测试, 文件输入/输出, 用户界面（UI）, 算法, 操作系统, 调试, 软件工程, 软件开发, 可维护性, 系统编程, 命令行界面, 模拟, 软件设计, C（编程语言）, 计算机编程, Algorithm, 计划发展, 开发环境
状态：新状态：免费试用您将获得的技能: Shiny (R Package), Cloud Deployment, Interactive Data Visualization, Application Deployment, Data Visualization, Server Side, Performance Tuning, R (Software), Dashboard, Application Lifecycle Management, Data Visualization Software, User Interface (UI), Web Applications, Authentications, Application Development, User Interface (UI) Design, Exploratory Data Analysis, Interactive Design, R Programming, Data Management
状态：免费试用IBM
您将获得的技能: Java 编程, 面向对象编程（OOP）, 数据结构, Java, 集成开发环境, 文件输入/输出, 调试, 计算机编程, 开发环境
状态：免费试用您将获得的技能: Object Oriented Programming (OOP), File I/O, Data Persistence, Object Oriented Design, Java, Java Programming, File Management, Application Development, Maintainability, Software Design, Programming Principles, Development Environment, Program Development, Computer Programming, Data Structures, Data Management, Integrated Development Environments, Debugging, Data Validation
状态：新状态：免费试用您将获得的技能: Predictive Modeling, Model Evaluation, Data Visualization, Statistical Analysis, Predictive Analytics, Feature Engineering, Data Mining, Statistical Modeling, Risk Modeling, R Programming, Data Manipulation, Business Analytics, Data Analysis, Decision Tree Learning, Data Preprocessing, Data Cleansing, Probability & Statistics, Transaction Processing, Applied Machine Learning, Machine Learning
状态：免费试用University of Michigan
您将获得的技能: C (Programming Language), C++ (Programming Language), Object Oriented Programming (OOP), Data Structures, Programming Principles, Algorithms, Computer Programming, Software Design, Application Security, Other Programming Languages, Python Programming, Java Programming, System Programming, Computer Architecture, Performance Tuning, Unix, Computer Science, Debugging
状态：免费试用University of California, Santa Cruz
您将获得的技能: 编程原则, 软件文档
状态：新状态：免费试用您将获得的技能: Rmarkdown, Knitr, Model Evaluation, Data Wrangling, Tidyverse (R Package), Predictive Analytics, Data Analysis, Data Cleansing, Statistical Reporting, R Programming, Data Manipulation, Data Integration, Data Transformation, Statistical Modeling, Extract, Transform, Load, Data Pipelines, Performance Analysis, Performance Metric, Automation
状态：免费试用Duke University
您将获得的技能: Java 编程, 加密, 图像分析, Javascript, 集成开发环境, 数据处理, 层叠样式表（CSS）, 文件输入/输出, 事件驱动编程, 数据分析, 软件设计, 软件工程, 人工智能个性化, 调试, 算法, 数据导入/导出, 统计分析, Encryption, 计算机编程, 计划发展, 预测建模, Algorithm
总之，以下是 10 最受欢迎的 r programming 课程
- 用 Python 编程: Meta
- Rust 编程: Duke University
- Analyze and Apply R for Data Analytics: EDUCBA
- C 语言编程入门: Duke University
- Build and Evaluate R Shiny Data Apps: EDUCBA
- Java 编程入门: IBM
- Java Programming Fundamentals: IBM
- Apply R for Predictive Analytics and Machine Learning: EDUCBA
- C Programming for Everybody: University of Michigan
- 面向所有人的 C 语言，第 1 部分：编程基础: University of California, Santa Cruz
