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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.

Kurs

Introduction to R

GrundläggandeKunskapsnivå
4.8+
2 365 recensioner
4 tim
Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.

Lärstig

Grunderna i R-programmering

4.4+
14 recensioner
22 tim
Ta dina R-programmeringskunskaper till nästa nivå! Lär dig att arbeta med vanliga datastrukturer, optimera kod och skriva egna funktioner.

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Utforska kurser och inlärningsvägar inom R

Kurs

Introduction to R

GrundläggandeKunskapsnivå
4.8+
2 365 recensioner
4 tim
Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.

Kurs

Introduction to the Tidyverse

GrundläggandeKunskapsnivå
4.8+
1 116 recensioner
4 tim
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.

Kurs

Intermediate R

GrundläggandeKunskapsnivå
4.8+
957 recensioner
6 tim
Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.

Kurs

Introduction to Statistics in R

MedelnivåKunskapsnivå
4.7+
2 021 recensioner
4 tim
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.

Kurs

Introduction to Regression in R

MedelnivåKunskapsnivå
4.8+
1 429 recensioner
4 tim
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.

Kurs

Data Manipulation with dplyr

GrundläggandeKunskapsnivå
4.8+
689 recensioner
4 tim
Build Tidyverse skills by learning how to transform and manipulate data with dplyr.

Kurs

Hypothesis Testing in R

MedelnivåKunskapsnivå
4.7+
940 recensioner
4 tim
Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

Kurs

Introduction to Importing Data in R

GrundläggandeKunskapsnivå
4.7+
351 recensioner
3 tim
In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.

Kurs

Exploratory Data Analysis in R

MedelnivåKunskapsnivå
4.7+
1 195 recensioner
4 tim
Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

Kurs

Intermediate Regression in R

MedelnivåKunskapsnivå
4.7+
763 recensioner
4 tim
Learn to perform linear and logistic regression with multiple explanatory variables.

Kurs

Joining Data with dplyr

GrundläggandeKunskapsnivå
4.7+
1 204 recensioner
4 tim
Learn to combine data across multiple tables to answer more complex questions with dplyr.

Kurs

Cleaning Data in R

MedelnivåKunskapsnivå
4.7+
771 recensioner
4 tim
Learn to clean data as quickly and accurately as possible to help you move from raw data to awesome insights.

Kurs

Sampling in R

MedelnivåKunskapsnivå
4.7+
822 recensioner
4 tim
Master sampling to get more accurate statistics with less data.

Kurs

Writing Efficient R Code

MedelnivåKunskapsnivå
4.7+
135 recensioner
4 tim
Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.

Kurs

ARIMA Models in R

GrundläggandeKunskapsnivå
4.8+
305 recensioner
4 tim
Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

Kurs

Reshaping Data with tidyr

MedelnivåKunskapsnivå
4.8+
452 recensioner
4 tim
Transform almost any dataset into a tidy format to make analysis easier.

Kurs

Time Series Analysis in R

MedelnivåKunskapsnivå
4.8+
88 recensioner
4 tim
Learn the core techniques necessary to extract meaningful insights from time series data.

Kurs

Manipulating Time Series Data in R

MedelnivåKunskapsnivå
4.8+
283 recensioner
4 tim
Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.

Kurs

Modeling with Data in the Tidyverse

MedelnivåKunskapsnivå
4.8+
225 recensioner
4 tim
Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

Kurs

Introduction to Bioconductor in R

MedelnivåKunskapsnivå
4.7+
112 recensioner
4 tim
Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!

Kurs

Forecasting in R

GrundläggandeKunskapsnivå
4.9+
51 recensioner
5 tim
Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.

Kurs

Reporting with R Markdown

MedelnivåKunskapsnivå
4.7+
321 recensioner
4 tim
R Markdown is an easy-to-use formatting language for authoring dynamic reports from R code.

Kurs

Introduction to R for Finance

GrundläggandeKunskapsnivå
4.7+
94 recensioner
4 tim
Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.

Kurs

Linear Algebra for Data Science in R

MedelnivåKunskapsnivå
4.7+
133 recensioner
4 tim
This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

Kurs

Foundations of Inference in R

MedelnivåKunskapsnivå
4.7+
50 recensioner
4 tim
Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

Relaterade resurser om R

R Project

blogg

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 min

blogg

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 min

snabbguide

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 min

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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