TechsPlace | If you are a part of the technology sector, you must be aware of programming languages’ ongoing battle. Rust, GoLang, Python, Java, Scala, Swift, and many other programming languages offer high-end features to dominate the market and be used for different applications. Developers have their own perspective, comparison criteria, and the context to form an opinion regarding any language. No particular language can be termed as the best as each one is designed to solve specific problems in different situations and contexts.
When it particularly comes to data science, one of the popular programming languages that you’ll come across is R. This article introduces you to R programming, how it is used in data science, and what are the popular R training courses online to help you learn it.
An Introduction to R Programming
As described in the official website, R is a programming language and environment for statistical computing and graphics. Available as free software, R is usually preferred by developers to simplify the creation of business-ready reports and web applications powered by machine learning. R is highly extensible and offers various graphical techniques and statistical techniques like linear and nonlinear modeling, time-series analysis, classical statistical tests, classification, and clustering.
R can be considered an integrated suite of software facilities that make data manipulation, calculation, and graphical display easy. It allows developers to interact with many data sources and connect to databases and statistical packages, including SAS and SPSS. R includes an effective data handling and storage facility, a large collection of intermediate tools for data analysis, and a group of libraries explicitly designed for data science.
Many companies today use R programming for their data science-related projects. Some renowned names include Airbnb, eBay, Facebook, Amazon, John Deere, Google, New York Times, and Netflix. R also consistently makes it to the top programming languages used by developers in the TIOBE Programming Community index. So, it definitely makes sense to learn this powerful language and highlight it in your array of skills.
Let us know what options are available to you if you want to learn R.
Learn R Programming Online
If you want to start a career in big data analytics, data science, or artificial intelligence, learning R online can benefit you. While it could take you much time to figure out which training provider to rely on, we have made your work easier. Here are some of the most reliable online courses that help you learn R programming from scratch.
Data Science with R Certification Course – Simplilearn
Co-developed with IBM, this course by Simplilearn helps you learn data exploration, predictive analytics, data visualization, and descriptive analytics techniques using the R language. R languages like R packages, data import, and export in R, data structures in R, cluster analysis, and more are covered in this training program. Simplilearn offers 64 hours of blended learning, dedicated mentoring sessions, 10 real-world industry projects, and best-in-class updated study material for this course.
R Programming by John Hopkins University – Coursera
This program is designed for professionals who wish to learn R programming and use it for effective data analysis. It includes practical issues in statistical computing, accessing R packages, writing R functions, profiling R code, reading data into R, and commenting R code. The course can either be taken separately or Specialization programs like Data Science Specialization or Data Science – Foundations using R specialization. It will take you across 57 hours to complete the course.
Data Science: R Basics – EdX
This course, offered in collaboration with Harvard University, is designed for you to build a foundation in R and how to wrangle, analyze, and visualize data. The course spans 8 weeks, requiring you to dedicate 1-2 hours per week. Apart from general R programming, it covers regression, machine learning, data wrangling with dyplr, data visualization with ggplot2, version control with git and GitHub, and reproducible document preparation RStudio. The course is offered in a self-paced learning mode.
Programming for Data Science with R – Udacity
This course is ideal for data science aspirants who wish to learn the data programming tools like R, Git, SQL, and command line. The course duration is 3 months, and one needs to spend around 10 hours per week. You’ll learn the SQL fundamentals like JOINs, Aggregations, and subqueries in the beginning. Next, you’ll learn about R basics, loops, functions, and visualizing data. Finally, you’ll learn to use version control to share your work with other professionals in the data science industry.
R Programming Fundamentals – Pluralsight
This course gives you a complete overview of R programming, installing R, variables and operators, data structures, flow control, and exploring data with R. A number of demos are also presented to make the learners efficient and productive R programmers. The duration of the course is 7 hours, and it is designed for the beginner level. As such, there are no prerequisites to take this course.
Technology is moving at a faster pace than ever before. Today, when data science and artificial intelligence dominate the job market, then why not gain the right skills and use the opportunities presented to professionals. R is a handy tool in data science, and one should not miss learning it. If you have a strong grasp of using it for different business needs, you would surely have a rewarding career. So, dive into R programming concepts today!