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
IBM
您将获得的技能: 云计算, 数据科学, Python 编程, 开放源码技术, R 程序设计, 数据可视化软件, 应用编程接口 (API), Git（版本控制系统）, 其他编程语言, GitHub, 计算机编程工具, 统计编程, 开发环境, 数据分析软件, Jupyter, 云平台
Duke University
您将获得的技能: Data Ethics, Exploratory Data Analysis, Data-Driven Decision-Making, Logistic Regression, Statistical Modeling, Web Scraping, Ggplot2, Model Evaluation, Data Visualization Software, Predictive Modeling, Tidyverse (R Package), Data Visualization, Data Analysis, Regression Analysis, Responsible AI, Data Transformation, R Programming, Data Science, Data Wrangling, Version Control
您将获得的技能: Pandas（Python 软件包）, 统计分析, Matplotlib, 统计资料, 数据分析, 概率与统计, 统计假设检验, 回归分析, 数据科学, 数据可视化软件, 概率分布, 描述性统计, 相关性分析, 统计编程, 数据可视化, Jupyter
Università di Napoli Federico II
您将获得的技能: Unsupervised Learning, Supervised Learning, Object Oriented Programming (OOP), PyTorch (Machine Learning Library), R Programming, Convolutional Neural Networks, NumPy, R (Software), Image Analysis, Pandas (Python Package), Matplotlib, Python Programming, Deep Learning, Computer Programming, Scripting Languages, Computer Vision, Artificial Neural Networks, Transfer Learning, Programming Principles, Data Management
University of Michigan
您将获得的技能: R (Software), Model Evaluation, Statistical Modeling, Statistics, Data Visualization, Data Wrangling, Data Manipulation, Correlation Analysis, Histogram, Data Analysis, Statistical Analysis, Biostatistics, Statistical Hypothesis Testing, Scripting, Package and Software Management, Data Import/Export
University of Michigan
您将获得的技能: Pandas（Python 软件包）, 统计分析, 数据科学, Python 编程, 数据分析, 数据预处理, 数据转换, 数据操作, 编程原则, NumPy, 数据导入/导出, 数据清理, 透视表和图表
Universidad Nacional Autónoma de México
您将获得的技能: R Programming, Statistical Programming, Ggplot2, Plot (Graphics), Data Manipulation, Simulations, Statistical Software, Statistical Visualization, Data Processing, Graphing, Programming Principles, Data Import/Export, Scripting, Exploratory Data Analysis, Data Structures, Software Installation
Fractal Analytics
您将获得的技能: Pandas（Python 软件包）, 数据科学, Matplotlib, 商业分析, 统计假设检验, 统计资料, 探索性数据分析, 统计分析, 数据分析, 数据预处理, 数据操作, 描述性统计, 数据转换, 相关性分析, 数据可视化软件, 数据整理, 功能工程, 数据清理, Jupyter, Seaborn
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
您将获得的技能: A/B Testing, Pandas (Python Package), Matplotlib, Plotly, Data Visualization, Statistical Methods, GitHub, Data Manipulation, Version Control, Statistical Analysis, Data Science, Python Programming, NumPy, Data Analysis, Jupyter, Programming Principles, Data Cleansing, Exploratory Data Analysis, Scripting
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
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
总之，以下是 10 最受欢迎的 r for data science 课程
- 数据科学工具: IBM
- Data Science with R: Duke University
- 使用 Python 进行数据科学统计: IBM
- Data Science con Python e R: Università di Napoli Federico II
- Data Science for Health Research: University of Michigan
- Python 中的数据科学导论: University of Michigan
- Introducción a Data Science: Programación Estadística con R: Universidad Nacional Autónoma de México
- 数据科学 Python: Fractal Analytics
- R Programming for Statistics and Data Science: Packt
- Python for Data Science (and Version Control with GitHub): Coursera
