R is a programming language that has been around since the 1990s. It incorporates machine learning algorithms, data analysis, statistical inferences, and more. Companies and organizations in the academic, healthcare, and government industries use R programming the most, as it is a preferred language for statistics and visualization.
Although R is not the easiest programming language to learn, many great courses will help you understand it. This article will cover the top R programming courses to help you learn R.
|VIdeo Hours||64 Hours||Approximately 57 Hours||Around 8 Hours||2-4 Hours a Week for 4 Months||10.5 Hours|
|Length of Access||365 Days||4 Weeks||N/A||4 Months||Unlimited|
|Prerequisites||None||Intermediate Level Skills Required||Fundamental Knowledge of Computer Programming and Creating Variables||None||None|
|Learning Style||Online Self-Learning||Online Courses, Flexible Deadlines, 4-Week Duration||Online Self-Learning||Self-Paced Online Learning||Online Learning At Your Own Pace|
|Pricing||$559||Enroll For Free||$159/year, Free Trial Available||$600+||$89.99 (Discounts Sometimes Available)|
R Programming Certification Courses Reviews
1. Dooey: Data Science With R Programming
This course covers a lot more than R programming; it helps you learn data science as well. You will learn how to take data science into different companies, and you will also learn about important topics like data visualization and predictive analytics. You will learn a lot about the R language, including topics like data structures in R.
The course includes 64 hours of online learning, which is a lot more than many other courses. That means you will be able to learn a lot of important information. You will have a full year to finish the entire course, so you can take your time and move at your own pace, without any pressure.
One of the reasons the Dooey Data Science + R Programming course is so practical is that it includes ten real-life industry projects to work on. Not many courses allow you to gain hands-on experience like this.
Another reason to prefer the Dooey course is that there are zero prerequisites for starting. The course targets complete beginners in data science. Since it will teach you data science and R programming, it is a good starting point if you are a beginner at data science but would like to learn about the R language.
Some professionals that can benefit from studying this course include software developers, IT professionals, and analytics professionals.
The course is well organized, with ten different lessons taking you through various levels of knowledge. The course aims to help you achieve specific outcomes, including learning how to use association rules with the Apriori algorithm and understanding graphics in R for data visualization.
The course costs $599, but it is well worth it.
2. Coursera: R Programming
John Hopkins University offers this Coursera course, so you know it will be good. You can enroll for free. Hundreds of thousands of people have already enrolled in this course.
This particular R programming course is part of multiple programs. If you are working towards a Professional Certificate or Specialization in Data Science Specialization or Data Science: Foundations Using R Specialization, this course can count towards your learning. Financial aid is always available for students who qualify.
Some of the outcomes this course aims to provide include understanding how to use R loop functions and collect information using R profilers. In addition, 70 percent of people who took these courses started a new career, got a tangible career benefit, or even got a pay increase or promotion.
Three instructors will be teaching this online course, all professors or associate professors at Bloomberg School of Public Health.
Although the course is in English, subtitles are available in a wide range of languages, including Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Portuguese (Brazilian), Vietnamese, German, Russian, English, Spanish, Japanese. That makes the course accessible to global students and a good choice if you don’t speak English well.
Unlike the Dooey course, this course is not for beginners but is somewhat better for intermediate learners. It would be best to have some familiarity with regression before starting this course, though that is not an absolute requirement, only a recommendation.
The course spans four weeks. Each week, you will have a certain number of videos to watch, readings to complete, and quizzes to answer. It is an immersive online experience that allows you to set your own deadlines.
The first week will have more video hours than any other week. The course will start on a specified date. Here is the coursework for the four weeks:
Week 1: Background, Getting Started, and Nuts & Bolts
Week 2: Programming With R
Week 3: Loop Functions and Debugging
Week 4: Simulation and Profiling
3. Plural Sight: Programming R For Data Analysts
Plural Sight’s course will teach you how to use R programming for data analysis. It starts at a beginner level, but you should understand the fundamentals of computer programming and the fundamentals of creating variables before beginning this course.
There are three stages in the course, starting from the beginner level:
- Building your first R Analytics Solution
- Programming With R
- Creating and Debugging R Programs
- Customizing R Environments
- Building Tables With R
- Applying Functions In R
As you can see, the course takes you from the basics and foundations of the R language to advanced techniques like applying functions in R. The entire course time is only around eight hours long, however. Videos are either around two hours long, one hour long, or half an hour long, and there are six videos overall, with each level having two videos.
This course is a good option if you meet the prerequisites and are looking for a shorter course to follow at your own pace.
Plural Sight follows a subscription model. You subscribe for $159/year, and you will get access to the core library of 2,500 courses, including Paths, which includes the R course. A 10-day trial is available, so technically, you could sign up for a free trial and complete the R course in those ten days. Then, you can cancel your subscription, and you won’t have to pay anything.
4. EDX: Master Key Concepts Using the R Programming Language
Harvard University offers this course as part of the Professional Certificate in Data Analysis for Life Sciences program offered via EDX. It is a good option if you are interested in data analytics for life sciences, as that is what the program focuses on. You will learn advanced data analytics techniques and mathematical concepts.
The instructors include a professor and an associate professor at Harvard University (HarvardX).
The four courses in this program are:
Statistics and R
Introduction to Linear Models and Matrix Algebra
Statistical Inference and Modeling for High-throughput Experiments
High-Dimensional Data Analysis
Each course in the program lasts for four weeks, but you only have to put in 2-4 hours a week for each week to complete the course. Altogether, the program will last for around four months.
How much does the program cost?
For the entire four courses in this program, you will pay $696. That is a one-time fee and includes all four courses. You can not buy a single course in this program.
5. Udemy: R Programming For Data Science With Real Exercises!
This course is somewhat shorter, and it is best for new students of R who want to move at their own pace in a non-traditional learning environment. Udemy courses, unlike university programs, are yours to keep once you buy them. In other words, you will have unlimited access to the lessons forever, so you will have no pressure at all and can move at your own pace.
Some of the outcomes this course aims to provide include being able to program in R, learning how to use R studio, and working with financial, sports, and other data types in R.
The entire course length is around ten and a half hours. That is not too long, so it is excellent for those with limited time. At the same time, it is a comprehensive course, with eight sections and 82 lectures. Actual exercises come with the course as well, so you can practice.
Another great thing about this course is that you can take it even if you are new to programming. There are no prerequisites.
It is also very affordable. It costs only $89, and many times, Udemy runs discounts across the entire Udemy site. Many times, you will be able to get the course for just $12.99.
You will be able to watch this course on the Udemy app on your mobile phone.
R Programming FAQs
Is it Worth Taking an R Programming Course?
Yes, it absolutely is. Regardless of which of the courses you choose, you will learn vital knowledge and skills.
Why Learn R Programming?
Many companies and organizations have adopted R. It is open source and works on multiple platforms.
What Are Some Skills R Courses Cover?
When you learn R programming, you will often learn about some things that R includes, such as machine learning, quality plotting, and data visualization.