用于数据分析的 R 课程
数据分析 R 课程可以帮助您学习数据操作、统计分析建模、数据可视化和假设检验。您可以掌握清理数据集、执行 Regression 分析和创建信息图表的技能。许多课程都会介绍 RStudio 等工具以及 ggplot2 和 dplyr 等软件包，展示这些工具如何促进高效的数据分析并增强研究结果的展示效果。
热门数据分析 R 课程与认证
您将获得的技能: Data Storytelling, Data Visualization, Data Presentation, Matplotlib, Plotly, Seaborn, Plot (Graphics), Exploratory Data Analysis, Dashboard Creation
Johns Hopkins University
您将获得的技能: 编程原则, 调试, R（软件）, R 程序设计, 代码重用性, 性能测试, 性能调整, 面向对象编程（OOP）, 功能设计, 面向对象设计, 数据结构
Università di Napoli Federico II
您将获得的技能: Unsupervised Learning, Supervised Learning, R Programming, R (Software), Machine Learning Methods, Statistical Machine Learning, Artificial Neural Networks, Applied Machine Learning, Transfer Learning, Machine Learning, Machine Learning Algorithms, Exploratory Data Analysis, Tidyverse (R Package), Deep Learning, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Wrangling, Data Manipulation
University of Colorado Boulder
您将获得的技能: R Programming, Rmarkdown, R (Software), Tidyverse (R Package), Ggplot2, Data Import/Export, Data Visualization, Plot (Graphics), Statistical Visualization, Data Analysis, Statistical Reporting, Data Visualization Software, Data Presentation, Data Science, Data Manipulation, Statistical Analysis, Data Wrangling, Data Cleansing, Data Integration, Communication
您将获得的技能: Data Cleansing, Data Wrangling, R Programming, Data Preprocessing, Applied Machine Learning, Statistical Analysis, R (Software), Model Evaluation, Statistical Machine Learning, Classification And Regression Tree (CART), Statistical Programming, Statistical Modeling, Logistic Regression, Machine Learning Methods, Random Forest Algorithm, Data Transformation, Statistical Methods, Model Training, Predictive Modeling, Machine Learning
您将获得的技能: Matplotlib, Seaborn, Exploratory Data Analysis, Data Visualization, Pandas (Python Package), Plot (Graphics), Statistical Visualization, Data Visualization Software, Analysis, Data Analysis, Statistical Analysis, Python Programming
您将获得的技能: Data Visualization, Data Presentation, Pandas (Python Package), Data Analysis, Data-Driven Decision-Making, Exploratory Data Analysis, Analytical Skills, Data Wrangling, Case Studies, Data Manipulation, Data Cleansing, Python Programming, Data Import/Export, Promotional Strategies
Johns Hopkins University
您将获得的技能: 数据库, 数据转换, 数据整合, Tidyverse（R 软件包）, 网络抓取, R（软件）, 数据操作, 文件输入/输出, 数据导入/导出, 查询语言, JSON, 数据整理, R 程序设计, 电子表格软件, 应用编程接口 (API), Google 工作表, 关系数据库, 非结构化数据, 可扩展标记语言（XML）, 数据结构
Johns Hopkins University
您将获得的技能: 数据转换, 统计编程, Tidyverse（R 软件包）, 数据操作, 数据整理, R（软件）, 数据分析, R 程序设计, 相关性分析, 数据预处理, 数据处理, 探索性数据分析, 文本挖掘
您将获得的技能: Data Mining, Data Cleansing, Transaction Processing, Unsupervised Learning, Data Preprocessing, R Programming, Data Analysis, Market Analysis, Data Visualization, Data Manipulation, Model Training, Statistical Visualization, Data Quality, Consumer Behaviour, Model Optimization
Johns Hopkins University
您将获得的技能: 数据分析, Tidyverse（R 软件包）, 数据驱动决策, 数据建模, 数据科学, 预测分析, R 程序设计, 机器学习, 统计推理, 抽样（统计）, Rmarkdown, 应用机器学习, 模型评估, 预测建模, 统计方法, 探索性数据分析, 统计建模, 统计假设检验, 回归分析, Model Evaluation
您将获得的技能: Rmarkdown, Plot (Graphics), Statistical Visualization, Data Presentation, Box Plots, Scatter Plots, Data Visualization, Interactive Data Visualization, Dashboard Creation, Histogram, Descriptive Statistics, Data Visualization Software, R (Software), R Programming, Data Science
总之，以下是 10 最受欢迎的 r for data analysis 课程
- Python for Data Visualization and Analysis: Edureka
- 高级 R 编程: Johns Hopkins University
- Machine Learning e Data Mining in R: Università di Napoli Federico II
- R Programming and Tidyverse Capstone Project: University of Colorado Boulder
- Regression Analysis for Statistics & Machine Learning in R: Packt
- Conducting Exploratory Data Analysis: Coursera
- Data Analysis with Python: Inform a Business Decision: Coursera
- 在 Tidyverse 中导入数据: Johns Hopkins University
- 在 Tidyverse 中管理数据: Johns Hopkins University
- Analyze Market Basket Data Using R: EDUCBA
