Best Online Courses to Learn R Programming from Scratch

R programming courses

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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