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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