筛选依据
主题必需的
语言必需的
在整个课程(说明和评估)中使用的语言。
了解产品必需的
级别必需的
课程长度必需的
技能必需的
字幕必需的
教师必需的
“tidyverse (r package)” 的结果
您将获得的技能: Data Visualization Software, Data Visualization, Ggplot2, Plot (Graphics), R Programming, Scatter Plots, Graphing, Data Analysis, Data Wrangling, Data Manipulation, Data Import/Export, Regression Analysis, Software Installation, Package and Software Management
- 状态:预览
Johns Hopkins University
您将获得的技能: R Programming, Statistical Programming, Statistical Analysis, Debugging, Data Analysis, Simulations, Integrated Development Environments, Data Import/Export, Data Structures, Data Manipulation, Computer Programming, Performance Tuning, Software Installation
- 状态:免费试用
Johns Hopkins University
您将获得的技能: 可维护性, Git(版本控制系统), R 语言程序设计(中文版), Knitr, Open Source 技术, GitHub, 持续集成, Rmarkdown, 软件文档, 技术文档, 版本控制, 可测试性, 软件包和软件管理
- 状态:新状态:免费试用
您将获得的技能: A/B Testing, Pandas (Python Package), Matplotlib, Plotly, Data Visualization, Statistical Methods, GitHub, Data Manipulation, Statistical Hypothesis Testing, Version Control, Statistical Analysis, Data Science, Interactive Data Visualization, Python Programming, NumPy, Data Analysis, Git (Version Control System), Jupyter, Data Transformation, Programming Principles
- 状态:预览
您将获得的技能: SAS (Software), Data Analysis Software, R (Software), Advanced Analytics, R Programming, Big Data, Image Analysis, Time Series Analysis and Forecasting, Natural Language Processing, Statistical Programming, Jupyter, Predictive Modeling, Predictive Analytics, Applied Machine Learning, Deep Learning, Data Processing, Restful API, Computer Vision, Artificial Neural Networks
您将获得的技能: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, R (Software), Tidyverse (R Package), Machine Learning, Data Science, Ggplot2, Exploratory Data Analysis, Classification And Regression Tree (CART), Feature Engineering, Random Forest Algorithm, Data Processing, Statistical Programming, Predictive Modeling, Data Manipulation
- 状态:免费试用
IBM
您将获得的技能: SQL, 交互式数据可视化, 探索性数据分析, 仪表板, 数据叙事, R 语言程序设计(中文版), 数据操作, 绘图(图形), 数据整理, 数据库设计, 数据分析, 数据展示, 网页抓取, 传单(软件), Ggplot2, 闪亮(R 套件), 数据可视化, 数据可视化软件, 关系数据库, 数据库
- 状态:免费试用
Duke University
您将获得的技能: R (Software), R Programming, Data Visualization Software, Data Visualization, Data Science, Ggplot2, Statistical Visualization, Tidyverse (R Package), Data Analysis, Data Wrangling, Statistical Programming, Data Transformation, Exploratory Data Analysis, Data-Driven Decision-Making, Descriptive Statistics, Statistical Analysis, Data Manipulation, Statistics, Probability & Statistics, GitHub
- 状态:免费试用
Johns Hopkins University
您将获得的技能: 数据结构, 数据处理, 数据操作, 文件管理, 面向对象编程(OOP), 编程原则, Python 程序设计, 软件包和软件管理, 脚本, 生物信息学, Jupyter
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
您将获得的技能: Data Cleansing, R Programming, Statistical Analysis, R (Software), Data Manipulation, Classification And Regression Tree (CART), Advanced Analytics, Statistical Modeling, Random Forest Algorithm, Statistical Methods, Predictive Modeling, Exploratory Data Analysis, Feature Engineering, Machine Learning, Dimensionality Reduction
- 状态:免费试用
Johns Hopkins University
您将获得的技能: 集成开发环境, 数据结构, 功能设计, 调试, 数据操作, R 语言程序设计(中文版), 面向对象编程(OOP), 软件文档, 编程原则, 性能调整, 软件设计模式
总之,以下是 10 最受欢迎的 tidyverse (r package) 课程
- How to Visualize Data with R: Packt
- R البرمجة باستخدام لغة: Johns Hopkins University
- 构建 R 软件包: Johns Hopkins University
- Python for Data Science (and Version Control with GitHub): Coursera
- Using SAS Viya REST APIs with Python and R: SAS
- Clustering and Classification with Machine Learning in R: Packt
- 使用 R 的应用数据科学: IBM
- Data Visualization and Transformation with R: Duke University
- 基因组数据科学 Python: Johns Hopkins University
- R Programming for Statistics and Data Science: Packt