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
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
您将获得的技能: Seaborn, Data Storytelling, Data Integration, A/B Testing, Data Import/Export, Statistical Hypothesis Testing, Statistical Methods, Text Mining, Data-Driven Decision-Making, Git (Version Control System), Data Presentation, Matplotlib, Data Visualization, Pandas (Python Package), Version Control, GitHub, Statistical Analysis, Exploratory Data Analysis, Jupyter, NumPy
University of Michigan
您将获得的技能: 数据分析, 数据转换, Pandas（Python 软件包）, 数据清理, 数据操作, NumPy, 统计分析, 数据导入/导出, 数据科学, Python 编程, 数据预处理, 编程原则, 透视表和图表
Logical Operations
您将获得的技能: Seaborn, NumPy, Matplotlib, Data Transformation, Data Manipulation, Data Visualization Software, Pandas (Python Package), Plot (Graphics), Data Visualization, Jupyter, Scatter Plots, Data Science, Data Processing, Data Analysis, Box Plots, Python Programming, Graphing, Computer Programming, Computer Programming Tools, Software Development
Duke University
您将获得的技能: 数据分析, 探索性数据分析, 统计资料, 描述性统计, 概率分布, 抽样（统计）, 统计推理, 贝叶斯统计, 统计分析, R（软件）, 概率, R 程序设计
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
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
Johns Hopkins University
您将获得的技能: 数据分析, 数据操作, 数据转换, 统计编程, 数据清理, 数据结构, 大数据, 网络抓取, 应用编程接口 (API), 数据导入/导出, R 程序设计, 文本挖掘, 性能调整, Tidyverse（R 软件包）
O.P. Jindal Global University
您将获得的技能: Sampling (Statistics), Statistical Analysis, Probability Distribution, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Correlation Analysis, Regression Analysis, R (Software), R Programming, Statistical Modeling, Statistical Inference, Probability, Big Data, Decision Tree Learning
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 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
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
总之，以下是 10 最受欢迎的 r for data science 课程
- Python for Data Science: Real Projects & Analytics: EDUCBA
- Python for Real-World Data Analysis: Coursera
- Python 中的数据科学导论: University of Michigan
- Using Data Science Tools in Python: Logical Operations
- 使用 R 的概率与数据入门: Duke University
- Introducción a Data Science: Programación Estadística con R: Universidad Nacional Autónoma de México
- Programming for Python Data Science: Principles to Practice: Duke University
- R 编程环境: Johns Hopkins University
- Statistical Methods and Data Analysis : O.P. Jindal Global University
- R Programming for Statistics and Data Science: Packt
