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
Coursera
您将获得的技能: Ggplot2, Data Cleansing, Tidyverse (R Package), Data Wrangling, Data Transformation, Data Visualization, R Programming, Data Manipulation, Data Analysis, Data Management, Pivot Tables And Charts
状态：免费试用Johns Hopkins University
您将获得的技能: 功能设计, 数据操作, 数据结构, 性能测试, 调试, R 程序设计, 性能调整, 面向对象编程（OOP）, 软件设计模式, 编程原则
Coursera
您将获得的技能: Data Cleansing, Data Manipulation, Data Integration, R Programming, Data Preprocessing, Tidyverse (R Package), Data Management
状态：免费试用Imperial College London
您将获得的技能: 数据分析, 回归分析, 统计建模, 描述性统计, 模型评估, 生物统计学, 数据导入/导出, 探索性数据分析, 统计分析, 相关性分析, R 程序设计, R（软件）, 概率与统计, Model Evaluation
状态：免费试用Johns Hopkins University
您将获得的技能: 数据可视化软件, 热图, 数据可视化, 绘图（图形）, Ggplot2, 散点图, 图形软件, 图形工具, R 程序设计, Tidyverse（R 软件包）, 数据整理
状态：免费试用Johns Hopkins University
您将获得的技能: 散点图, 数据可视化软件, Ggplot2, 数据可视化, 数据导入/导出, 数据操作, Rmarkdown, 柱状图, 统计报告, R 程序设计, Tidyverse（R 软件包）, 统计可视化, 数据整理
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：免费试用Johns Hopkins University
您将获得的技能: 数据分析, 数据导入/导出, 数据操作, 数据结构, 网络抓取, R 程序设计, 数据清理, 性能调整, Tidyverse（R 软件包）, 文本挖掘, 应用编程接口 (API), 数据转换, 大数据, 统计编程
状态：预览Johns Hopkins University
您将获得的技能: R Programming, Statistical Programming, Statistical Analysis, Data Analysis Software, Debugging, Software Installation, Simulations, Integrated Development Environments, Programming Principles, Data Manipulation, Program Development, Data Import/Export, Performance Tuning, File I/O
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：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：新您将获得的技能: Model Evaluation, Classification Algorithms, R Programming, Apache Spark, Deep Learning, Applied Machine Learning, Keras (Neural Network Library), Unsupervised Learning, Apache Hadoop, Data Preprocessing, Data Science, Machine Learning, Tensorflow, Data Mining, Tidyverse (R Package), Statistical Methods, Regression Analysis, Data Analysis, Bayesian Network, Logistic Regression
总之，以下是 10 最受欢迎的 r 课程
- Tidy Messy Data using tidyr in R: Coursera
- 高级 R 编程: Johns Hopkins University
- Joining Data in R using dplyr: Coursera
- 公共卫生领域的 R 线性回归: Imperial College London
- 用 ggplot2 在 R 中实现数据可视化: Johns Hopkins University
- 开始使用 R 进行数据可视化: Johns Hopkins University
- Using R for Geostatistical Geospatial Modeling : Case Western Reserve University
- R 编程环境: Johns Hopkins University
- R 프로그래밍: Johns Hopkins University
- Apply R for Predictive Analytics and Machine Learning: EDUCBA
