R Courses

R Courses Online – Training in R

Statisticians and data miners use R for its open statistical software development, graphical analysis, and scientific applications.

If you’re looking to start a career in statistical analysis, R is definitely the language to learn. But where do you start?

There are a lot of R courses available online, but how can you be sure which one is best for you? So whether you’re a beginner or an experienced R user, there’s something for everyone here!

In this blog post, we’ll recommend some of the best R courses online, and we’ll also provide some tips on how to choose the right course for you.

1. Udacity Programming for Data Science with R Nanodegree

Udacity

Ready to make a real impact in the world of data science? The Udacity Programming For Data Science with R Nanodegree program will teach you the fundamental programming skills you need to start your career. You’ll learn how to use R, SQL, command line, and git to efficiently manage data sets and analyze results.

With ggplot2, you’ll also be able to create beautiful data visualizations that help you understand complex trends. You’ll learn how to collect and analyze data, create beautiful data visualizations, and share your work with others in the industry.

This Nanodegree will teach you how to use the R programming language to answer interesting questions about bike share trip data. With this skill set, you’ll be ready for a career in data science and take your data skills to the next level.

2. Data Scientist with R (DataCamp)

Datacamp

Do you want to become a data scientist, but don’t know where to start? DataCamp’s Data Scientist with R track is the perfect place for you. You’ll learn how to use the versatile language R to import, clean, and manipulate data. This skill set is essential for any aspiring data professional or researcher.

With DataCamp’s easy-to-follow tutorials, you’ll be on your way to becoming proficient in the expanding field of data science. For instance, you’ll start with the basics, like working with popular R packages, including ggplot2, and tidyverse packages like dplyr and readr.

Then you’ll move on to more advanced techniques, like cluster analysis and machine learning. With DataCamp’s interactive exercises, you’ll learn quickly and easily. R is one of the most popular programming languages for data science, and this course will teach you practical applications you need to know.

3. Data Science: Foundations using R Specialization (Coursera)

Coursera

Interested in a career in data science? This specialization will teach you how to use the R language – one of the most popular programming languages for statistics and data analysis – to clean, analyze, and visualize data. Data visualization is also an important feature of R, which this course will familiarize you with.

You’ll learn how to obtain data using R programming and perform scientific research. Plus, you’ll set up your own GitHub account to manage projects related to data science. Finally, it will help you set up R-Studio, which allows you to explore your data further.

R has a wide variety of packages for doing statistical analysis such as linear and nonlinear modeling, classical parametric and nonparametric tests, time-series analysis, classification, clustering, etc. By the end of the Data Science: Foundations using R Specialization, you’ll be ready for a career in this exciting field.

R Courses Online – Training in R

Whether you want an introduction or advanced training in R programming, we have included some of the top R courses that should fit your level.

Although R emphasizes statistics, it’s also good for data visualization, machine learning, spatial data, and much more!

We’ve outlined the best R courses you can take to learn how to use R for a data science career.

With so many options, it might be difficult to decide where to start your journey. But whichever you choose, it will be sure to advance your skill level and bolster your career options.

Subscribe to our newsletter:

Leave a Reply

Your email address will not be published. Required fields are marked *