10最好的R教程推荐

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特写 iPhone，显示 Udemy 应用程序和带笔记本的笔记本电脑有数以千计的在线课程和课程可以帮助您提高 R 技能并获得 R 证书。

在这篇博客文章中，我们的专家汇总了 10 个精选列表 最好的 R 课程, 现在在线提供的教程、培训计划、课程和认证。

我们只包括那些符合我们高质量标准的课程。我们花了很多时间和精力来为您收集这些。这些课程适合所有级别的初学者、中级学习者和专家。

以下是这些课程以及它们为您提供的内容！

10最好的R教程推荐

课程名 在校生（人数） 评论（计数）
1. R Programming A-Z™: R For Data Science With Real Exercises! 我们的最佳选择 237716+ 47229+
2. R Programming For Absolute Beginners 153736+ 2738+
3. Statistics with R – Beginner Level 122264+ 1495+
4. Data Science and Machine Learning Bootcamp with R 83152+ 15164+
5. R Programming: Advanced Analytics In R For Data Science 56724+ 8011+
6. R Programming for Statistics and Data Science 2022 23932+ 4156+
7. R Level 1 – Data Analytics with R 14630+ 2859+
8. Introduction to Time Series Analysis and Forecasting in R 12512+ 2443+
9. Applied Statistical Modeling for Data Analysis in R 9811+ 1451+
10. Statistics for Data Analysis Using R 9596+ 1782+

1. R Programming A-Z™: R For Data Science With Real Exercises! 经过 “Kirill Eremenko, Ligency I Team, Ligency Team” Udemy课程 我们的最佳选择

“Learn Programming In R And R Studio. Data Analytics, Data Science, Statistical Analysis, Packages, Functions, GGPlot2”

截至目前，超过 237716+ 人们已经注册了这门课程，而且已经结束了 47229+ 评论.

课程内容
Hit The Ground Running
Core Programming Principles
Fundamentals Of R
Matrices
Data Frames
Advanced Visualization With GGPlot2
Homework Solutions
Bonus Tutorials

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2. R Programming For Absolute Beginners 经过 Bogdan Anastasiei Udemy课程

Learn the basics of writing code in R – your first step to become a data scientist

截至目前，超过 153736+ 人们已经注册了这门课程，而且已经结束了 2738+ 评论.

课程内容
Introduction
Getting Started with R
Vectors
Matrices and Arrays
Lists
Factors
Data Frames
Programming Structures
Working With Strings
Plotting in Base R
Download Links

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3. Statistics with R – Beginner Level 经过 Bogdan Anastasiei Udemy课程

Basic statistical analyses using the R program

截至目前，超过 122264+ 人们已经注册了这门课程，而且已经结束了 1495+ 评论.

课程内容
Introduction
Data Manipulation in R
Descriptive Statistics
Creating Frequency Tables and Cross Tables
Building Charts
Checking Assumptions
Performing Univariate Analyses
Course Materials

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4. Data Science and Machine Learning Bootcamp with R 经过 Jose Portilla Udemy课程

Learn how to use the R programming language for data science and machine learning and data visualization!

截至目前，超过 83152+ 人们已经注册了这门课程，而且已经结束了 15164+ 评论.

课程内容
Course Introduction
Course Best Practices
Windows Installation Set-Up
Mac OS Installation Set-Up
Linux Installation
Development Environment Overview
Introduction to R Basics
R Matrices
R Data Frames
R Lists
Data Input and Output with R
R Programming Basics
Advanced R Programming
Data Manipulation with R
Data Visualization with R
Data Visualization Project
Interactive Visualizations with Plotly
Capstone Data Project
Introduction to Machine Learning with R
Machine Learning with R – Linear Regression
Machine Learning Project – Linear Regression
Machine Learning with R – Logistic Regression
Machine Learning Project – Logistic Regression
Machine Learning with R – K Nearest Neighbors
Machine Learning Project – K Nearest Neighbors
Machine Learning with R – Decision Trees and Random Forests
Machine Learning Project – Decision Trees and Random Forests
Machine Learning with R – Support Vector Machines
Machine Learning Project – Support Vector Machines
Machine Learning with R – K-means Clustering
Machine Learning Project – K-means Clustering
Machine Learning with R – Natural Language Processing
Machine Learning with R – Neural Nets
Machine Learning Project – Neural Nets
Bonus Section

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5. R Programming: Advanced Analytics In R For Data Science 经过 “Kirill Eremenko, Ligency I Team, Ligency Team” Udemy课程

“Take Your R & R Studio Skills To The Next Level. Data Analytics, Data Science, Statistical Analysis in Business, GGPlot2”

截至目前，超过 56724+ 人们已经注册了这门课程，而且已经结束了 8011+ 评论.

课程内容
Welcome To The Course
Data Preparation
Lists in R
“Apply” Family of Functions
Bonus Lectures

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6. R Programming for Statistics and Data Science 2022 经过 “365 Careers, 365 Simona (The 365 Team)” Udemy课程

R Programming for Data Science & Data Analysis. Applying R for Statistics and Data Visualization with GGplot2 in R

截至目前，超过 23932+ 人们已经注册了这门课程，而且已经结束了 4156+ 评论.

课程内容
Introduction
Getting started
The building blocks of R
Vectors and vector operations
Matrices
Fundamentals of programming with R
Data frames
Manipulating data
Visualizing data
Exploratory data analysis
Hypothesis Testing
Linear Regression Analysis

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7. R Level 1 – Data Analytics with R 经过 R-Tutorials Training Udemy课程

Use R for Data Analytics and Data Mining

截至目前，超过 14630+ 人们已经注册了这门课程，而且已经结束了 2859+ 评论.

课程内容
Introduction – the very Basics of R
Theoretical background
Creating objects
Functions in R
Loops
Apply family
Graphs in R
Advanced topic: working with strings
Using the R Commander GUI

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8. Introduction to Time Series Analysis and Forecasting in R 经过 R-Tutorials Training Udemy课程

“Work with time series and all sorts of time related data in R – Forecasting, Time Series Analysis, Predictive Analytics”

截至目前，超过 12512+ 人们已经注册了这门课程，而且已经结束了 2443+ 评论.

课程内容
Introduction
Working With Dates And Time In R
Time Series Data Pre-Processing and Visualization
Statistical Background For Time Series Analysis And Forecasting
Time Series Analysis And Forecasting
ARIMA Models
Multivariate Time Series Analysis
Neural Networks in Time Series Analysis

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9. Applied Statistical Modeling for Data Analysis in R 经过 Minerva Singh Udemy课程

Your Complete Guide to Statistical Data Analysis and Visualization For Practical Applications in R

截至目前，超过 9811+ 人们已经注册了这门课程，而且已经结束了 1451+ 评论.

课程内容
Introduction to the Basics of Applied Statistical Modelling
Section 2: The Essentials of the R Programming Language
Statistical Tools to Learn More About Your Data
Probability Distributions
Statistical Inference
Relationship Between Two Different Quantitative Variables
Other Types of Regression
Multivariate Analysis
Miscellaneous Lectures & Information

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10. Statistics for Data Analysis Using R 经过 “Sandeep Kumar, ­ Quality Gurus Inc.” Udemy课程

“Learn Programming in R & R Studio • Descriptive, Inferential Statistics • Plots for Data Visualization • Data Science”

截至目前，超过 9596+ 人们已经注册了这门课程，而且已经结束了 1782+ 评论.

课程内容
“1. Getting Started with R and R Studio
2. Bonus Section: Descriptive Statistics Theory (lessons from my other course)
3. Descriptive Statistics Using R
4. Vectors, Factors, Lists, Matrix and Data Frames in R
5. Data Visualization
6. Descriptive Statistics Re-visited
7. Bonus Section: Basic Probability Theory (lessons from my other course)
8. Probability Distributions
9. Inferential Statistics – Hypothesis Tests
Bonus Section”

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下面是一些关于学习的常见问题R

学习R需要多长时间？

“学习R需要多长时间”这个问题的答案是。 . .这取决于。每个人都有不同的需求，每个人都在不同的场景下工作，所以一个人的答案可能与另一个人的答案完全不同。

考虑这些问题：你想学习 R 是为了什么？你的出发点在哪里？您是初学者还是有使用 R 的经验？你能练习多少？每天1小时？每周40小时？ 查看本课程关于 R.

R 学起来容易还是难？

不，学习 R 对大多数人来说并不难。检查这个 关于如何学习的课程 R 立刻！

如何快速学习R？

学习 R 最快的方法是先得到这个 R 课程, 然后尽可能练习你学到的任何东西。即使每天只有 15 分钟的练习。一致性是关键.

在哪里学习 R？

如果您想探索和学习 R，那么 Udemy 为您提供了学习 R 的最佳平台。查看此 关于如何学习的课程 R 立刻！