Do you want to learn R Programming language? Here we listed R Programming tutorials which will help you learn R Programming from scratch, and are suitable for beginners, intermediate learners as well as experts

Introduction to R

What you’ll learn

• Fundamentals of R
• 140+ exercise problems, learning of R through practice

Duration: 10hr 4min
Rating: 4.3 (1,150 ratings) out of 5
Trainer: Jagannath Rajagopal
URL: https://www.udemy.com/course/introduction-to-r/

R Basics – R Programming Language Introduction

What you’ll learn

• You will learn how to navigate in the RStudio interface
• You will learn how to make basic graphs
• You will learn about the basic structure of R including packages
• You will learn how to perform basic commands in the R programming language
• You will also learn how to handle add on packages, how to use the R help tools and generally how to find your way in the R world

Duration: 4hr 6min
Rating: 4.5 (13,438 ratings) out of 5
Trainer: R-Tutorials Training
URL: https://www.udemy.com/course/r-basics/

Learn R for Business Analytics from Basics

What you’ll learn

• Know how R can be leveraged in Business Analytics
• Get familiar with R environment
• Load important packages into R
• Import Data in R and perform exploration and transformation activities
• Perform bivariate analysis and plot charts in R to understand data distribution
• Run Macros / write functions in R
• Run correlation and regression in R and analyse model results

Duration: 1hr 43min
Rating: 4.1 (1,000 ratings) out of 5
Trainer: Analytics 17
URL: https://www.udemy.com/course/training-in-r-for-business-analytics-a-beginners-guide/

R, ggplot, and Simple Linear Regression

What you’ll learn

• Create vectors and data frames in R
• Plot points and lines with ggplot
• Access vectors from data frames
• Group with ggplot
• Plot residual lines with ggplot
• Fit a least squares line to a data set
• Use a least squares line for prediction

Duration: 2hr 14min
Rating: 4.5 (2,808 ratings) out of 5
Trainer: Charles Redmond
URL: https://www.udemy.com/course/machlearn1/

R Programming

What you’ll learn

• Understand critical programming language concepts
• Configure statistical programming software
• Make use of R loop functions and debugging tools
• Collect detailed information using R profiler

Duration: Approx. 58 hours
Rating: 4.6 (16,265 ratings) out of 5
Trainer: Roger D. Peng, Jeff Leek, Brian Caffo
URL: https://www.coursera.org/learn/r-programming

Data Science: R Basics

What you’ll learn

• R’s functions and data types
• data wrangling with dplyr
• data visualization with ggplot2
• file organization with UNIX/Linux
• version control with git and GitHub
• reproducible document preparation with RStudio

Duration: Approx. 15 hours
Trainer: Rafael Irizarry
URL: https://www.edx.org/course/data-science-r-basics

Statistics with R Specialization

What you’ll learn

• you will learn to analyze and visualize data in R
• create reproducible data analysis reports
• demonstrate a conceptual understanding of the unified nature of statistical inference
• communicate statistical results correctly, effectively, and in context without relying on statistical jargon
• critique data-based claims and evaluated data-based decisions
• wrangle and visualize data with R packages for data analysis

Trainer: Duke University
URL: https://www.coursera.org/specializations/statistics

Mastering Software Development in R Specialization

What you’ll learn

• Build R packages
• Custom data visualization and graphics
• Data manipulation and wrangling
• Produce and scale data science products

Duration: Approx. 50 hours
Rating: 4.2 (1,746 ratings) out of 5
Trainer: Roger D. Peng, Brooke Anderson
URL: https://www.coursera.org/specializations/r

Introduction to Neurohacking In R

What you’ll learn

• Read/write images of the brain in the NIfTI (Neuroimaging Informatics Technology Initiative) format
• Visualize and explore these images
• Perform inhomogeneity correction, brain extraction, and image registration (within a subject and to a template)

Duration: Approx. 9 hours
Rating: 4.6 (185 ratings) out of 5
Trainer: Dr. Elizabeth Sweeney, Ciprian M. Crainiceanu, John Muschelli III
URL: https://www.coursera.org/learn/neurohacking

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