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
状态：免费试用您将获得的技能: Rmarkdown, Box Plots, Plot (Graphics), Descriptive Statistics, Scatter Plots, Histogram, Jupyter, Matplotlib, Data Presentation, Ggplot2, Statistical Visualization, Data Manipulation, Statistical Hypothesis Testing, Regression Analysis, Correlation Analysis, Data Visualization, Data Visualization Software, Data Analysis, R Programming, Python Programming
状态：免费试用Fractal Analytics
您将获得的技能: 描述性统计, Matplotlib, 统计分析, 数据可视化软件, 统计, 统计假设检验, 商业分析, 数据操作, 相关性分析, 数据整理, 功能工程, 数据分析, 数据转换, Pandas（Python 软件包）, Jupyter, 数据清理, Seaborn, 探索性数据分析, 数据预处理, 数据科学
状态：免费试用您将获得的技能: SQL, R 语言程序设计（中文版）, 数据访问, 数据建模, 关系数据库, 数据库设计, 数据操作, 数据分析, 数据库, Query 语言, 数据库管理, 数据科学
状态：免费试用Duke University
您将获得的技能: Matplotlib, Pandas (Python Package), NumPy, Data Visualization, Data Cleansing, Data Structures, Data Visualization Software, Predictive Analytics, Debugging, Object Oriented Programming (OOP), Data Manipulation, Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Data Preprocessing, Exploratory Data Analysis, Predictive Modeling, Data Analysis
状态：免费试用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, Computer Vision, Artificial Neural Networks, Transfer Learning, Scripting, Programming Principles, Data Management
状态：新状态：免费试用University of Pittsburgh
您将获得的技能: Statistical Analysis, Statistical Modeling, Predictive Modeling, Data Analysis, Statistics, Integral Calculus, Probability & Statistics, Data Science, Probability Distribution, Calculus, Mathematics and Mathematical Modeling, Applied Mathematics, Derivatives, Mathematical Modeling, Machine Learning, Algorithms
状态：新状态：免费试用您将获得的技能: Descriptive Statistics, Model Evaluation, Feature Engineering, Probability & Statistics, Supervised Learning, Statistical Hypothesis Testing, Exploratory Data Analysis, Box Plots, Regression Analysis, Statistics, Predictive Modeling, Time Series Analysis and Forecasting, Data Science, Histogram, Data Visualization, Statistical Analysis, Integrated Development Environments, Computer Networking, Python Programming, Server Side
状态：免费试用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
状态：免费试用Microsoft
您将获得的技能: Rmarkdown, Version Control, Web Scraping, Regression Analysis, Knitr, Exploratory Data Analysis, Statistical Analysis, Data Manipulation, Dimensionality Reduction, Ggplot2, Geospatial Information and Technology, Time Series Analysis and Forecasting, Plotly, Microsoft Azure, Data Cleansing, Data Visualization, Software Documentation, R Programming, Data Quality, Microsoft Copilot
状态：免费试用Johns Hopkins University
您将获得的技能: 数据可视化软件, 数据导入/导出, 数据整理, R 语言程序设计（中文版）, 数据操作, 散点图, Ggplot2, 统计报告, Rmarkdown, Tidyverse（R 软件包）, 统计可视化, 柱状图, 数据可视化
状态：免费试用University of Colorado Boulder
您将获得的技能: 软件安装, 数据可视化软件, R 语言程序设计（中文版）, 统计编程, 数据操作, Ggplot2, 数据分析, 数据转换, Rmarkdown, 编程原则, 数据可视化, Tidyverse（R 软件包）
状态：免费试用University of Michigan
您将获得的技能: 统计分析, 数据导入/导出, NumPy, Python 程序设计, 数据操作, Pandas（Python 软件包）, 数据分析, 透视表和图表, 编程原则, 数据清理, 数据预处理, 数据转换, 数据科学
与 r for data science 相关的搜索
总之，以下是 10 最受欢迎的 r for data science 课程
- Data Science and Analysis Tools - from Jupyter to R Markdown: Codio
- 适用于数据科学的 Python: Fractal Analytics
- 使用 R 的数据科学 SQL: IBM
- Programming for Python Data Science: Principles to Practice: Duke University
- Data Science con Python e R: Università di Napoli Federico II
- Statistics and Calculus Methods for Data Analysis: University of Pittsburgh
- Python for Data Science: Real Projects & Analytics: EDUCBA
- Data Science for Health Research: University of Michigan
- Microsoft R Programming for Everyone: Microsoft
- 开始使用 R 进行数据可视化: Johns Hopkins University
