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
University of Colorado Boulder
您将获得的技能: Pandas（Python 软件包）, 数据导入/导出, Python 编程, 数据操作, 数据科学, 软件包和软件管理, 数据可视化软件, Matplotlib, 绘图（图形）, NumPy, 数据可视化, 柱状图, Seaborn
University of Colorado Boulder
您将获得的技能: 数据分析, 数据操作, 数据转换, 数据可视化软件, 统计编程, 软件安装, R 程序设计, Ggplot2, Rmarkdown, 数据可视化, 编程原则, Tidyverse（R 软件包）
您将获得的技能: Data Visualization Software, Data Visualization, Statistical Visualization, Ggplot2, Plot (Graphics), R Programming, Scatter Plots, Data Collection, Data Analysis, Data Manipulation, Data Import/Export, Regression Analysis, Data Preprocessing, Software Installation
Coursera
您将获得的技能: R (Software), Data Import/Export, Package and Software Management, R Programming, Data Structures, Data-oriented programming, Statistical Programming, Data Analysis Software, Data Analysis, Data Science
University of Colorado Boulder
您将获得的技能: 统计分析, 数据建模, 回归分析, 数据科学, 模型评估, 统计方法, 概率与统计, 统计推理, 统计建模, 数据伦理, 数学建模, R 程序设计, 预测建模, 功能工程, Model Evaluation
您将获得的技能: Rmarkdown, R (Software), Data Import/Export, R Programming, Ggplot2, Data Manipulation, Plotly, Data Visualization, Web Scraping, Interactive Data Visualization, Data Visualization Software, Data Cleansing, Data Preprocessing, Data Transformation, Statistical Programming, Programming Principles, Data Structures
Duke University
您将获得的技能: Exploratory Data Analysis, Ggplot2, Data Visualization Software, Tidyverse (R Package), Data Visualization, Version Control, Data Analysis, Statistical Methods, Data Wrangling, R Programming, GitHub, Data Transformation, Statistical Analysis, Git (Version Control System), Data Manipulation, Statistical Programming
Johns Hopkins University
您将获得的技能: 应用编程接口 (API), 数据操作, 统计编程, 网络抓取, 数据转换, 数据清理, 数据分析, 数据导入/导出, R 程序设计, 大数据, 文本挖掘, 数据结构, 性能调整, Tidyverse（R 软件包）
Johns Hopkins University
您将获得的技能: 数据操作, 面向对象编程（OOP）, 调试, 功能设计, 数据结构, R 程序设计, 软件设计模式, 编程原则, 性能调整, 性能测试
您将获得的技能: Sampling (Statistics), Matplotlib, Data Analysis, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Probability, Python Programming, Scikit Learn (Machine Learning Library), Data Preprocessing, Linear Algebra, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)
Logical Operations
您将获得的技能: R Programming, R (Software), Plot (Graphics), Data Visualization, Statistical Visualization, Statistical Modeling, Data Analysis, Data Science, Statistical Analysis, Data Import/Export, Statistical Machine Learning, Machine Learning Methods, Machine Learning, Decision Tree Learning, Machine Learning Algorithms, Regression Analysis, Data Structures, Computer Programming, Computer Programming Tools, Software Development
University of Colorado Boulder
您将获得的技能: R Programming, Rmarkdown, Tidyverse (R Package), Ggplot2, Data Import/Export, Data Visualization, Data Analysis, Data Visualization Software, Data Science, Data Manipulation, Data Storytelling, Statistical Analysis, Data Cleansing, Data Integration, Data Transformation, Communication
总之，以下是 10 最受欢迎的 r for data science 课程
- 数据科学 Python 软件包: University of Colorado Boulder
- R 编程和 Tidyverse 简介: University of Colorado Boulder
- How to Visualize Data with R: Packt
- Getting Started with R: Coursera
- 用 R 进行现代回归分析: University of Colorado Boulder
- Foundations of R Programming and Basic Data Manipulation: Packt
- Data Visualization and Transformation with R: Duke University
- R 编程环境: Johns Hopkins University
- 高级 R 编程: Johns Hopkins University
- AI Machine Learning with R & Python Projects: EDUCBA
