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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