Dplyr 课程
Dplyr课程可以帮助您学习R语言中的数据操作、过滤、汇总数据和Transformer数据集。您可以掌握创建数据管道、处理缺失值和执行分组操作的技能。许多课程都会介绍 RStudio 和各种数据 Visualization 包等工具，展示如何有效地分析和呈现数据见解。
热门Dplyr课程和认证
状态：免费试用您将获得的技能: Statistical Inference, Regression Analysis, Logistic Regression, R Programming, Statistical Analysis, Statistical Modeling, R (Software), Predictive Modeling, Model Evaluation, Statistical Hypothesis Testing, Probability Distribution, Probability
状态：新状态：免费试用您将获得的技能: Version Control, Software Documentation, Microsoft Copilot, Microsoft Visual Studio, Program Development, Statistical Analysis, Descriptive Statistics, Statistical Programming, Debugging
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
状态：免费试用您将获得的技能: NumPy, Plot (Graphics), Pandas (Python Package), Scientific Visualization, Data Manipulation, Scatter Plots, Machine Learning, Data Science, Data Analysis Software, Histogram, Numerical Analysis, Probability Distribution, Linear Algebra, Classification Algorithms, Regression Analysis
状态：免费试用Imperial College London
您将获得的技能: 描述性统计, 公共卫生, 数据整理, 回归分析, R 语言程序设计（中文版）, 概率与统计, R（软件）, 统计分析, 生物统计学, 逻辑回归, 模型评估, 统计方法, 探索性数据分析, 时间序列分析和预测
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：免费试用Johns Hopkins University
您将获得的技能: 数据整理, 数据可视化软件, 散点图, R 语言程序设计（中文版）, 图形软件, 图形工具, 热图, Ggplot2, 绘图（图形）, 数据可视化, Tidyverse（R 软件包）
状态：免费试用Johns Hopkins University
您将获得的技能: 交互式数据可视化, 数据可视化软件, 散点图, R 语言程序设计（中文版）, Plotly, 数据操作, Ggplot2, 数据映射, 动画, 空间数据分析, 统计可视化, Rmarkdown, 地理空间信息与技术, Tidyverse（R 软件包）
状态：免费试用Johns Hopkins University
您将获得的技能: 数据结构, R 语言程序设计（中文版）, 数据操作, 编程原则, 面向对象编程（OOP）, 性能调整, 调试, 软件设计模式, 性能测试, 功能设计
状态：免费试用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
状态：免费试用University of Michigan
您将获得的技能: 散点图, 数据可视化软件, 趋势分析, 公共行政, R 语言程序设计（中文版）, 数据展示, Ggplot2, 平面和视觉设计, 政策分析, R（软件）, 探索性数据分析, 绘图（图形）, 柱状图, 数据可视化, 数据分析, Tidyverse（R 软件包）, 统计可视化
状态：预览University of Michigan
您将获得的技能: Pandas (Python Package), NumPy, Data Manipulation, Statistical Analysis, Jupyter, Data Structures, Data Cleansing, Pivot Tables And Charts, Data Analysis, Data Preprocessing, Exploratory Data Analysis, Python Programming, Probability & Statistics, Data Import/Export
总之，以下是 10 最受欢迎的 dplyr 课程
- Variable Selection, Model Validation, Nonlinear Regression: Illinois Tech
- R Programming Essentials with Microsoft Tools: Microsoft
- R Programming for Statistics and Data Science: Packt
- NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt
- 用 R 进行公共卫生生存分析: Imperial College London
- Data Science con Python e R: Università di Napoli Federico II
- 用 ggplot2 在 R 中实现数据可视化: Johns Hopkins University
- 使用 R 进行高级数据可视化: Johns Hopkins University
- 高级 R 编程: Johns Hopkins University
- Statistics and Data Analysis with R: University of Colorado Boulder
