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
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
您将获得的技能: Descriptive Statistics, Statistical Hypothesis Testing, Correlation Analysis, Tidyverse (R Package), Data Analysis, Regression Analysis, Probability & Statistics, Statistical Methods, Data Import/Export, Statistical Analysis, R Programming, Data Wrangling, Data Manipulation
您将获得的技能: Data Visualization Software, Data Visualization, Statistical Visualization, Ggplot2, Plot (Graphics), R Programming, Scatter Plots, Data Collection, Data Analysis, Data Manipulation, Data Import/Export, Regression Analysis, Data Preprocessing, Software Installation
Emory University
您将获得的技能: YAML, 技术文档, 技术写作, 层叠样式表（CSS）, Knitr, R 程序设计, 数据共享, 文件管理, 超文本标记语言（HTML）, 版本控制, 协作软件, Rmarkdown
您将获得的技能: Model Deployment, Analytics, R Programming, Google Sheets, Health Informatics, Predictive Modeling, Automation, Data Manipulation, GitHub, Gmail, Git (Version Control System), Command-Line Interface
Johns Hopkins University
您将获得的技能: 开放源码技术, Knitr, 技术文档, R 程序设计, 软件包和软件管理, GitHub, 版本控制, 单元测试, 软件版本控制, 软件文档, 开发测试, Rmarkdown, 跨平台开发, 持续集成
Johns Hopkins University
您将获得的技能: 查询语言, 应用编程接口 (API), 数据库, 关系数据库, R 程序设计, 非结构化数据, 可扩展标记语言（XML）, 网络抓取, Google 工作表, 数据转换, 电子表格软件, 数据导入/导出, 数据操作, 数据整合, Tidyverse（R 软件包）
您将获得的技能: Alteryx, Predictive Modeling, Scripting, R Programming, Predictive Analytics, Data Science, Advanced Analytics, Trend Analysis, Data Preprocessing, Data Integration, Exploratory Data Analysis, Data Manipulation, Data Visualization Software, Data Analysis, Model Evaluation, Data Cleansing, Risk Modeling, Machine Learning
您将获得的技能: Retrieval-Augmented Generation, Embeddings, Large Language Modeling, Prompt Engineering, Data Visualization, Generative AI, Vector Databases, Text Mining, Data Processing
您将获得的技能: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability
您将获得的技能: Exploratory Data Analysis, Statistical Modeling, Regression Analysis, Data Visualization, Model Evaluation, Data Analysis, Statistical Methods, Scatter Plots, R Programming, Statistical Analysis, Plot (Graphics), R (Software), Ggplot2
您将获得的技能: R Programming, Analysis, Mathematical Software, Data Analysis
总之，以下是 10 最受欢迎的 dplyr 课程
- 파이썬의 데이터 과학 소개: University of Michigan
- Data Analysis in R with RStudio & Tidyverse: Codio
- How to Visualize Data with R: Packt
- 可复制的分析和传播模板: Emory University
- Automate R scripts with GitHub Actions: Deploy a model: Coursera
- 构建 R 软件包: Johns Hopkins University
- 在 Tidyverse 中导入数据: Johns Hopkins University
- Scripting with Alteryx: Python and R for Advanced Workflows: Coursera
- Master Retrieval-Augmented Generation (RAG) Systems: Packt
- Using probability distributions for real world problems in R: Coursera
