Thanks to data science technologies, the way analysts used to mine data has evolved. The R programming language is one of the most popular data research tools. R is chosen by 40% of data scientists, according to a 2017 Burtch Works study. It is, without a doubt, the most extensively used language among data scientists worldwide. R is a programming language and software environment that is mostly used for statistical and graphical computations. In this article, we will see the Best Coursera R Programming Courses.
It has gained a lot of popularity since its launch, and it is now the most popular tool for machine learning, data analysis and visualisation, and statistics. As a result of the big data explosion, a lot of data science job opportunities are being created every day, and mastering R programming may help you grow your career as a data scientist.
When looking for an R programming school or class, you have various possibilities. Our experts have hand-picked the best R programming certifications, courses, seminars, tutorials, and training that are available online. This collection contains both free and paid courses for students of various skill levels, from beginners to specialists. These are vital not only for anyone learning R programming for graphical and statistical applications. But also for anyone studying Data Science and Machine Learning. Let us begin with the Best Coursera R Programming Courses.
5 Best Coursera R Programming Courses Online 2022
This course will teach you how to programme in R and how to use R for data analysis. You’ll learn how to set up and set up the software for a statistical programming environment, as well as how to represent generic programming language principles in a high-level statistical language. Programming in R, reading data into R, accessing R packages, developing R functions, debugging, profiling R code, and structuring and commenting R code are among the topics covered in this course. Working examples will be provided for statistical data analysis topics.
Click here to enrol in R Programming with an additional discount.
This Specialization covers fundamental data science tools and techniques, such as how to collect, clean, and explore data, how to programme in R, and how to perform repeatable research.
The five courses in this speciality are the same as those in the Data Science Specialization’s first part. This speciality is designed for students who want to begin and finish the basic portion of the programme before going on to more advanced Data Science courses such as statistics and machine learning.
Learners who enrol in the Data Science: Foundations using R Specialization will complete a project at the conclusion of each course. Installing tools, programming in R, cleaning data, executing analysis, and peer review assignments are all part of the projects.
Click here to enrol in Data Science: Foundations using R Specialization with an additional discount.
You’ll learn to analyse and visualise data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modelling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, and critique data-based claims in this Specialization.
You’ll create a portfolio of data analysis projects from the Specialization that demonstrates mastery of statistical data analysis from exploratory analysis to inference to modelling, which you may use to apply for statistical analysis or data scientist jobs.
Click here to enrol in Statistics with R Specialization with an additional discount.
This is the seventh of the Google Data Analytics Certificate’s seven courses. These classes will provide you with the abilities you’ll need to apply for entry-level data analyst employment. This course will teach you how to use the R programming language. You’ll learn how to work with R using RStudio, a programming environment. This course will also go over R-specific software programmes and tools, such as R packages. You’ll learn how to clean, organise, analyse, display, and report data in new and more powerful ways using R. Current Google data analysts will continue to teach and demonstrate how to complete basic data analyst duties using the most up-to-date tools and resources.
Click here to enrol in Data Analysis with R Programming with an additional discount.
Working in the data science sector will undoubtedly expose you to the R programming language. And the role it plays in data analysis. This course covers the fundamentals of the R programming language, including data types, manipulation techniques, and how to accomplish basic programming tasks.
With the aid of the R programming language, you will begin to comprehend typical data structures, programming foundations, and how to handle data.
This course places a strong focus on hands-on learning. You’ll use RStudio to develop a basic programme, manipulate data in a data frame or matrix, and finish a final project as a data analyst using Watson Studio and Jupyter notebooks to gather and evaluate data-driven insights. It is not necessary to have any prior experience of R or programming.
Click here to enrol in Introduction to R Programming for Data Science with an additional discount.