个结果，搜索词为 "knitr"
状态：新状态：免费试用Logical Operations
您将获得的技能: R Programming, R (Software), Data Science, Data Analysis, Statistical Modeling, Data Visualization, Statistical Analysis, Statistical Visualization, Regression Analysis, Statistical Machine Learning, Plot (Graphics), Data Structures, Computer Programming, Decision Tree Learning, Machine Learning Methods, Machine Learning, Software Development, Computer Programming Tools, Data Import/Export, Machine Learning Algorithms
状态：免费试用Johns Hopkins University
您将获得的技能: 数据可视化软件, 数据操作, 机器学习, Knitr, 绘图（图形）, 数据科学, R 语言程序设计（中文版）, 降维, 统计分析, Rmarkdown, Ggplot2, 探索性数据分析, 数据整合, 统计可视化, GitHub, 数据转换, 数据共享, 统计编程, 版本控制, 数据清理
状态：免费试用University of Colorado Boulder
您将获得的技能: Tidyverse (R Package), Rmarkdown, R Programming, Ggplot2, Data Import/Export, Data Visualization, Data Manipulation, Data Visualization Software, Data Analysis, Data Science, Data Storytelling, Statistical Analysis, Relational Databases, Data Cleansing, Data Transformation, Statistical Programming, Data Integration, Software Installation, Programming Principles, Communication
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：新状态：免费试用Logical Operations
您将获得的技能: R (Software), Data Processing, R Programming, Data Manipulation, Data Structures, Statistical Programming, Data Analysis, Data Analysis Software, Software Installation, Data Science, Development Environment, Computer Programming, Computer Programming Tools, Software Development
状态：新状态：免费试用Logical Operations
您将获得的技能: R Programming, R (Software), Plot (Graphics), Data Visualization, Statistical Visualization, Statistical Modeling, Data Analysis, Data Science, Statistical Analysis, Data Import/Export, Statistical Machine Learning, Machine Learning Methods, Machine Learning, Decision Tree Learning, Machine Learning Algorithms, Regression Analysis, Data Structures, Computer Programming, Computer Programming Tools, Software Development
是什么让您今天来到 Coursera？
状态：新状态：免费试用您将获得的技能: Exploratory Data Analysis, Financial Data, Data Analysis, Package and Software Management, R Programming, R (Software), Statistical Analysis, Expense Management, Financial Analysis, Tidyverse (R Package), Data Manipulation, Statistical Visualization, Data Import/Export
状态：新状态：免费试用您将获得的技能: Hugging Face, LLM Application, LangChain, Large Language Modeling, OpenAI, Natural Language Processing, Generative AI Agents, ChatGPT, Responsible AI, Embeddings, Application Programming Interface (API), Text Mining, Restful API, Agentic systems, Open Source Technology, Data Preprocessing, MLOps (Machine Learning Operations), Python Programming, Model Evaluation
状态：免费试用IBM
您将获得的技能: 数据操作, 数据分析, 统计建模, 数据导入/导出, 数据科学, 模型评估, R 语言程序设计（中文版）, 回归分析, 预测分析, 性能调整, 统计分析, 数据清理, 数据预处理, 数据转换, 数据整理, 预测, 探索性数据分析, 数据可视化
状态：免费试用您将获得的技能: 数据操作, SQL, 数据分析, 数据科学, 数据访问, R 语言程序设计（中文版）, 数据库, 数据库系统, 关系数据库, Query 语言, 数据库管理
状态：免费试用Johns Hopkins University
您将获得的技能: 数据操作, 数据可视化软件, 预测建模, 绘图（图形）, 统计建模, 数据科学, 数据导入/导出, 数据分析, 网页抓取, R 语言程序设计（中文版）, 回归分析, 统计假设检验, Ggplot2, 数据建模, 探索性数据分析, 数据分析软件, Tidyverse（R 软件包）, 数据整理, R（软件）, 数据可视化
状态：免费试用Johns Hopkins University
您将获得的技能: Knitr, 数据分析, R 语言程序设计（中文版）, 技术交流, 软件文档, 验证和确认, 统计分析, 数据共享, Rmarkdown, Data Validation, 定量研究, 统计报告
是什么让您今天来到 Coursera？
总之，以下是 10 最受欢迎的 knitr 课程
- R Programming for Data Science: Logical Operations
- 数据科学：使用 R 的基础: Johns Hopkins University
- Expressway to Data Science: R Programming and Tidyverse: University of Colorado Boulder
- Microsoft R Programming for Everyone: Microsoft
- R Programming: Setup and Data Processing: Logical Operations
- R Programming: Data Analysis and Modeling: Logical Operations
- Analyze Data: Visualize, Summarize, and R: Coursera
- Introduction to LLMs and Hugging Face: Edureka
- 使用 R 进行数据分析: IBM
- 使用 R 的数据科学 SQL: IBM
