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
Duke University
您将获得的技能: 统计资料, 统计推理, 统计分析, 数据分析, 探索性数据分析, 描述性统计, 概率分布, R 程序设计, 概率, R（软件）, 贝叶斯统计, 抽样（统计）
University of Colorado Boulder
您将获得的技能: 数据分析, Ggplot2, 数据可视化, Rmarkdown, R 程序设计, 软件安装, 统计编程, 编程原则, 数据转换, 数据操作, Tidyverse（R 软件包）, 数据可视化软件
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
Johns Hopkins University
您将获得的技能: Ggplot2, Rmarkdown, 数据整理, 数据可视化, R 程序设计, 统计报告, 数据导入/导出, 散点图, 统计可视化, 数据操作, Tidyverse（R 软件包）, 柱状图, 数据可视化软件
University of Colorado Boulder
您将获得的技能: Pandas（Python 软件包）, 数据可视化, 数据科学, Python 编程, Matplotlib, 数据导入/导出, 绘图（图形）, NumPy, 软件包和软件管理, 数据操作, 柱状图, Seaborn, 数据可视化软件
您将获得的技能: R Programming, Ggplot2, Data Visualization, Data Manipulation, Exploratory Data Analysis, Statistical Programming, Data Science, Tidyverse (R Package), Statistical Modeling, Data Analysis, Regression Analysis, Data Structures, Statistical Analysis, Descriptive Statistics, Programming Principles, Data Transformation, Probability & Statistics
University of Leeds
您将获得的技能: Jupyter, Programming Principles, Computer Programming, Python Programming, Development Environment, Scripting, Software Installation, Data Structures, Data Science
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
Universitat Politècnica de València
您将获得的技能: R Programming, R (Software), Statistical Analysis, Ggplot2, Data Import/Export, Data Structures, Programming Principles, Data Preprocessing, Data Science, Model Evaluation, Machine Learning, Data Manipulation, Exploratory Data Analysis, Data Visualization Software
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
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
Università di Napoli Federico II
您将获得的技能: PyTorch (Machine Learning Library), Convolutional Neural Networks, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Deep Learning, Computer Vision, Transfer Learning, Keras (Neural Network Library), Jupyter, Data Manipulation, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Transformation, Model Evaluation
总之，以下是 10 最受欢迎的 r for data science 课程
- 使用 R 的概率与数据入门: Duke University
- R 编程和 Tidyverse 简介: University of Colorado Boulder
- Getting Started with R: Coursera
- 开始使用 R 进行数据可视化: Johns Hopkins University
- 数据科学 Python 软件包: University of Colorado Boulder
- R Programming for Statistics and Data Science: Packt
- Programming for Data Science: University of Leeds
- Data Visualization and Transformation with R: Duke University
- Introducción a R para ciencia de datos: Universitat Politècnica de València
- Machine Learning e Data Mining in R: Università di Napoli Federico II
