![]() ![]() Not convinced? Because DataCamp offers the first chapter of every course for free, you can try this program before you commit to it. ![]() With courses chosen by industry professionals and a ton of hands-on exercises, DataCamp’s R Programmer program is undoubtedly the best R programming language course out there. You don’t need to have any prior experience to get started with this program. However, this doesn’t include the time you’ll need to spend on each project. ![]() Since each course takes about 4 hours to complete, you can expect to finish the entire course in about 48 hours. For example, after you learn how to parse and manipulate dates and times in R, you’re asked to use your new skills to analyze breathalyzer data to figure out who is drunk and when in Ames, Iowa. The program also includes three projects designed to help students solidify their knowledge. The track starts off with an introduction to Tidyverse (a collection of open-source R packages) before showing you how to manipulate your data using dplyr, speed up computations with parallel programming, defensively program for errors, build an R package, and perform object-oriented programming (OOP) in R.Īll of the 12 R programming courses in this program feature video lessons and hands-on exercises. The R Programmer career track, available on DataCamp, consists of 12 courses handpicked by industry experts. Without further ado, these are the best R courses. Below we’ve compiled a list of the nine best R online courses that’ll help future data scientists and data analysts get to grips with one of the most powerful programming languages for statistical computing and data visualization. The language is actually fairly simple, but it is unconventional.” Luckily, with the right R programming language course, you can go from beginner to a competent R programmer in no time. Cook said, “I have written software professionally in perhaps a dozen programming languages, and the hardest language for me to learn has been R. The only problem? R has a reputation for being difficult to learn. The sudden interest in R could also have something to do with the fact that R is reproducible and cross-platform compatible, can connect with other languages, and has a vast user base in both academia and business (Facebook, Google, and Bank of America all use R). Another is the increase in statistical computing and data mining being used to search for a COVID-19 vaccine. So, why R? One potential reason is that universities and research institutes are turning away from commercial packages like Stata in favor of open source languages like R and Python. As of August 2020, R is the 8th most popular programming language (its highest position ever - in 2019, for example, it was the 20th most popular), ahead of SQL, MATLAB, and Swift (Python is third most popular, after C and Java). According to TIOBE, a software QA automation company that ranks programming languages based on how often they’re searched for online, R is catching up with Python, fast. The programming language R continues to gain popularity. ![]()
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