R for Data Science 课程可以帮助您学习数据操作、统计分析、数据可视化和机器学习技术。您可以掌握探索性数据分析、假设检验和预测建模的技能。许多课程都会介绍 RStudio 等工具以及 ggplot2 和 dplyr 等软件包,它们支持创建数据 Visualization 和执行复杂的数据 Transformer。通过使用这些工具和方法,您可以有效地分析数据集,并获得有意义的见解。

您将获得的技能: Data Manipulation, Statistical Analysis, R (Software), Ggplot2, R Programming, Data Visualization Software, Data Science, Data Preprocessing, Probability & Statistics, Data Analysis, Statistics, Statistical Modeling, Regression Analysis, Data-Driven Decision-Making, Machine Learning, Descriptive Statistics, Probability Distribution, Time Series Analysis and Forecasting
初级 · 课程 · 1-3 个月

Johns Hopkins University
您将获得的技能: 统计分析, 模型评估, 统计假设检验, 探索性数据分析, R 程序设计, 机器学习, GitHub, Plotly, 概率与统计, 统计机器学习, Rmarkdown, 交互式数据可视化, 预测建模, 统计推理, 机器学习算法, 回归分析, 统计建模, 闪亮(R 套件), 数据展示, 数据可视化
中级 · 专项课程 · 3-6 个月

您将获得的技能: 统计假设检验, 统计编程, 数据可视化软件, 统计分析, 数据科学, 数据分析, Matplotlib, 概率分布, 概率与统计, 统计资料, 描述性统计, 回归分析, 相关性分析, Jupyter, Pandas(Python 软件包), 数据可视化
混合 · 课程 · 1-3 个月

IBM
您将获得的技能: Python 编程, 统计编程, 数据可视化软件, Git(版本控制系统), 应用编程接口 (API), 开放源码技术, 开发环境, R 程序设计, 数据科学, GitHub, 云计算, 计算机编程工具, 云平台, 数据分析软件, 其他编程语言, Jupyter
初级 · 课程 · 1-3 个月

Logical Operations
您将获得的技能: Seaborn, NumPy, Matplotlib, Data Transformation, Data Manipulation, Data Visualization Software, Pandas (Python Package), Plot (Graphics), Data Visualization, Jupyter, Scatter Plots, Data Science, Data Processing, Data Analysis, Box Plots, Python Programming, Graphing, Computer Programming, Computer Programming Tools, Software Development
中级 · 专项课程 · 1-3 个月

Johns Hopkins University
您将获得的技能: 调试, 数据可视化软件, R 程序设计, 开放源码技术, 数据预处理, 数据清理, 单元测试, 面向对象编程(OOP), 可视化(计算机制图), 数据地图, 技术文档, 数据操作, Ggplot2, 传单(软件), 交互式数据可视化, 网络抓取, 软件文档, 软件包和软件管理, Tidyverse(R 软件包), 数据可视化
初级 · 专项课程 · 3-6 个月

您将获得的技能: Data Visualization, Statistical Analysis, Predictive Modeling, R Programming, Data Manipulation, Business Analytics, Data Analysis, Probability & Statistics, Regression Analysis, Time Series Analysis and Forecasting, Case Studies, Decision Tree Learning, Data Structures
初级 · 课程 · 1-4 周

您将获得的技能: Analytical Skills, Statistical Methods, Exploratory Data Analysis, Business Analytics, Data Analysis, Statistical Analysis, R Programming, Visualization (Computer Graphics), Predictive Analytics, Statistical Modeling, Data Structures, Time Series Analysis and Forecasting, Regression Analysis, Programming Principles, Decision Tree Learning
初级 · 课程 · 1-4 周

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
初级 · 专业证书 · 3-6 个月

您将获得的技能: Descriptive Statistics, Model Evaluation, Feature Engineering, Probability & Statistics, Supervised Learning, Statistical Hypothesis Testing, Exploratory Data Analysis, Box Plots, Regression Analysis, Statistics, Predictive Modeling, Time Series Analysis and Forecasting, Data Science, Histogram, Data Visualization, Statistical Analysis, Integrated Development Environments, Computer Networking, Python Programming, Server Side
初级 · 专项课程 · 3-6 个月

O.P. Jindal Global University
您将获得的技能: Sampling (Statistics), Statistical Analysis, Probability Distribution, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Correlation Analysis, Regression Analysis, R (Software), R Programming, Statistical Modeling, Statistical Inference, Probability, Big Data, Decision Tree Learning
攻读学位
混合 · 课程 · 1-3 个月

Duke University
您将获得的技能: Matplotlib, Pandas (Python Package), NumPy, Data Visualization, Data Cleansing, Data Structures, Data Visualization Software, Predictive Analytics, Debugging, Object Oriented Programming (OOP), Data Manipulation, Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Data Analysis
初级 · 专项课程 · 3-6 个月