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R courses

R is a language for data analysis, statistics, and machine learning. DataCamp’s expert-led R courses offer interactive practice with projects to build job-ready skills fast. Start learning R today and unlock new data science opportunities.

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Recomended For Starters

Become an R programmer and develop your R skills with interactive courses, tracks and projects, curated by real-world experts.

Courses

Introduction to R

พื้นฐานระดับทักษะ
4 hours
40.7K
Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.

Tracks

R Programming Fundamentals

22 hours
14.9K
Level-up your R programming skills! Learn how to work with common data structures, optimize code, and write your own functions.

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เรียกดูหลักสูตรและแทร็กของ R

Courses

Introduction to R

พื้นฐานระดับทักษะ
4 hours
40.7K
Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.

Courses

Intermediate R

พื้นฐานระดับทักษะ
6 hours
8.7K
Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.

Courses

Introduction to the Tidyverse

พื้นฐานระดับทักษะ
4 hours
8.2K
Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.

Courses

Data Manipulation with dplyr

พื้นฐานระดับทักษะ
4 hours
5K
Build Tidyverse skills by learning how to transform and manipulate data with dplyr.

Courses

Introduction to Statistics in R

ระดับกลางระดับทักษะ
4 hours
4.9K
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.

Courses

Introduction to Regression in R

ระดับกลางระดับทักษะ
4 hours
2.8K
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.

Courses

Introduction to Importing Data in R

พื้นฐานระดับทักษะ
3 hours
2.6K
In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.

Courses

Exploratory Data Analysis in R

ระดับกลางระดับทักษะ
4 hours
2.1K
Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

Courses

Joining Data with dplyr

พื้นฐานระดับทักษะ
4 hours
2K
Learn to combine data across multiple tables to answer more complex questions with dplyr.

Courses

Intermediate Data Visualization with ggplot2

ระดับกลางระดับทักษะ
4 hours
1.7K
Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.

Courses

Introduction to R for Finance

พื้นฐานระดับทักษะ
4 hours
1.2K
Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.

Courses

Hypothesis Testing in R

ระดับกลางระดับทักษะ
4 hours
1.2K
Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

Courses

Writing Efficient R Code

ระดับกลางระดับทักษะ
4 hours
1.2K
Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.

Courses

Cleaning Data in R

ระดับกลางระดับทักษะ
4 hours
1.1K
Learn to clean data as quickly and accurately as possible to help you move from raw data to awesome insights.

Courses

Reshaping Data with tidyr

ระดับกลางระดับทักษะ
4 hours
998
Transform almost any dataset into a tidy format to make analysis easier.

Courses

Intermediate Regression in R

ระดับกลางระดับทักษะ
4 hours
966
Learn to perform linear and logistic regression with multiple explanatory variables.

Courses

Sampling in R

ระดับกลางระดับทักษะ
4 hours
884
Master sampling to get more accurate statistics with less data.

Courses

Communicating with Data in the Tidyverse

พื้นฐานระดับทักษะ
4 hours
857
Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.

Courses

Linear Algebra for Data Science in R

ระดับกลางระดับทักษะ
4 hours
824
This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

Courses

Time Series Analysis in R

ระดับกลางระดับทักษะ
4 hours
791
Learn the core techniques necessary to extract meaningful insights from time series data.

Courses

Reporting with R Markdown

ระดับกลางระดับทักษะ
4 hours
776
R Markdown is an easy-to-use formatting language for authoring dynamic reports from R code.

Courses

Foundations of Probability in R

พื้นฐานระดับทักษะ
4 hours
717
In this course, youll learn about the concepts of random variables, distributions, and conditioning.

Courses

Introduction to Bioconductor in R

ระดับกลางระดับทักษะ
4 hours
634
Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!

Courses

Manipulating Time Series Data in R

ระดับกลางระดับทักษะ
4 hours
620
Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.

Courses

Building Web Applications with Shiny in R

ระดับกลางระดับทักษะ
4 hours
584
Shiny is an R package that makes it easy to build interactive web apps directly in R, allowing your team to explore your data as dashboards or visualizations.

Courses

Supervised Learning in R: Regression

ระดับกลางระดับทักษะ
4 hours
583
In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

Courses

Forecasting in R

พื้นฐานระดับทักษะ
5 hours
575
Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.

แหล่งข้อมูลที่เกี่ยวข้องบน R

R Project

blogs

The Top 8 R Project Ideas for 2026

Discover what R is and all the benefits for using it while giving examples and new ideas for a project.
Elena Kosourova's photo

Elena Kosourova

14 นาที

blogs

Python vs R for Data Science: Which Should You Learn?

This guide will help you answer one of the most frequently asked questions of newcomers in data science and help you choose between R and Python.
Javier Canales Luna's photo

Javier Canales Luna

10 นาที

cheat sheets

Getting Started with R Cheat Sheet

This cheat sheet will cover an overview of getting started with R. Use it as a handy, high-level reference for a quick start with R. For more detailed R Cheat Sheets, follow the highlighted cheat sheets below.
Richie Cotton's photo

Richie Cotton

9 นาที

Ready to apply your skills?

Projects allow you to apply your knowledge to a wide range of datasets
to solve real-world problems in your browser

    Frequently asked questions

    What is R?

    R is a statistical computing and graphics system, consisting of the R language and a run-time environment. Originally designed for statistical purposes, it excels in data analysis, mining, modeling, and creating visualizations. Primarily used for statistics and data science, its applications extend to AI, machine learning, financial analysis, and more. Being open-source and equipped with a wide array of functions and packages, R is popular across multiple fields including academia, finance, and social media.

    Do I need any prior programming experience to start learning R?

    No prior programming experience is required to start learning R. Our courses are designed to be accessible to beginners, with step-by-step guidance that makes learning R straightforward—even for those new to programming.

    How can learning R benefit my career?

    Learning R can significantly enhance your career, especially if you are interested in fields like data analysis, statistics, or research. As a language specifically designed for statistical analysis and data visualization, R skills are highly sought after in industries ranging from healthcare and finance to academia and marketing, opening up a wide range of job opportunities and pathways for professional growth.

    How do I get started with R?

    Beginning your journey with R first involves grasping its fundamental concepts—such as understanding vectors, factors, lists, and data frames. Our Introduction to R programming course covers these basics, providing a solid foundation for further exploration into the R programming language.

    What is the difference between R and Python?

    Python is a general-purpose programming language, developed to handle a wide range of tasks from data science to web development, making it highly versatile and popular for various applications. R, on the other hand, was created for statistical analysis and excels in data visualization and exploratory data analysis.

    Is R worth learning in 2025?

    Absolutely, R is worth learning in 2025, especially for those focused on specialized areas like statistical analysis, data visualization, and academic research. Despite the rapid growth of Python, R maintains a strong presence in data science and analytics, valued for its advanced statistical capabilities and dedicated community.

    Does Datacamp offer an R Certification?

    DataCamp offers two R certifications: Data Analyst and Data Scientist. Both are available in R or Python. If you are interested in either, check out our Certifications here.

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