R programming has gained substantial traction in the realm of statistical computing and graphics. It’s used extensively by statisticians, data analysts, and researchers to conduct data analysis and to create detailed graphics.
Given the exponential growth of data in the current age, there’s a pressing need for professionals who can extract meaningful information from it.
As of April 2023, R ranks 16th in the TIOBE index, a measure of programming language popularity. The average salary for R programmers is quite compelling. As of 2023, an R programmer in the United States can expect to earn an average salary of $85,840 per year, making it a lucrative career choice.
Some of the best R programming courses are available online to get started on your journey or enhance your current skills. They cater to beginners as well as those who already have a foundation and want to delve deeper.
These courses are curated by experts in the field and provide a comprehensive understanding of the subject.
This blog provides an overview of these courses available, breaking them down into their respective components, and gives you a clear idea of what to expect.
It also provides reviews from past learners, making your choice easier and more informed. Whether you are a student, a professional looking to switch careers, or a seasoned professional seeking to upskill, these insights are invaluable.
So, what are you waiting for? Let’s dive in!
List of Top Notch R Programming Language Classes
- Getting Started with R for Data Science
- Top Course for Learning R
- Best Budget R programming course for Introduction to R
- Beginner R programming Class to Learn R
- Best R Programming Course: Advanced Analytics in R for Data Science
- Introduction to R Programming
- Best Self-Paced Course for R programming fundamentals
Our Criteria to Choose the Top R Programming Courses
We consider several key criteria to ensure a high-quality learning experience when selecting the best R courses. These are the factors we evaluate:
Eligibility criteria: We review the course’s eligibility requirements to determine if they align with our prerequisites. It’s important to ensure that we meet the necessary qualifications before enrolling.
Course curriculum: We carefully examine the curriculum to ensure that it encompasses the topics we desire to learn in R programming, including data analysis techniques and practical applications.
Teaching methodologies: Interactive and engaging instruction is vital to our learning process. We look for courses that incorporate hands-on exercises, projects, or real-world examples to provide us with practical experience alongside theoretical instruction.
The reputation of the program: We conduct thorough research to evaluate the reputation of the program or institution offering the R course. We consider reviews, testimonials, or feedback from previous students to gain insights into the course’s quality,
Instructors rating: We pay close attention to the qualifications and experience of the instructors who will deliver the course. We prioritize instructors who possess strong credentials and have relevant industry experience.
Cost: We consider the course’s financial aspect, considering the tuition fees or any additional expenses. While cost is an important factor, we balance it with the overall value and quality of the course.
Job placement and career support: We look for courses providing job placement assistance or services. This includes resources such as resume building, interview preparation, and networking opportunities.
7 Best R Programming Language Courses | Detailed Analysis
This popular R programming course is a comprehensive online course suitable for beginners. With 11 hours and 9 minutes of content, the lessons dive deep into the foundational concepts of R programming. The course covers various applications of R, including its use in social network analysis.
You can expect to learn essential skills such as data wrangling, creating visualizations, and modeling data using R. Practical exercises are incorporated throughout the course, allowing you to gain valuable hands-on experience.
Upon completion, you will earn a certificate, validating your newly acquired skills to make you stand out among a pool of applicants.
The instructors, Barton Poulson and Mike Chapple bring a wealth of expertise to the table. Barton, an associate professor of psychology, combines his design and data analytics background to deliver engaging instruction. Mike, a University of Notre Dame teaching professor, specializes in information technology and analytics.
With a monthly subscription of $19.99, you gain access to this course and a wide variety of other courses. The program offers excellent value for money, equipping you with essential R programming skills for data science. Students have given excellent feedback on the lessons. Check out some of these amazing reviews for yourself:
“Really nice to understand the programming language you need to use between R and Python according to your data. Gives you an idea of how many questions you can answer with a couple of commands and all data you can extract from a spreadsheet.”
“It’s an effective tool for visualizing data. I recommend that you do the course as soon as possible if you want to build your career in Data Science.”
Overall, Getting Started with R for Data Science receives our top rating. Join this course today!
Learning R is an online course designed for beginners looking to delve into the data revolution. With a concise duration of 2 hours and 46 minutes, this course provides a comprehensive introduction to R, a popular language for data science.
The content of the course covers the fundamentals of R, including the installation of R, RStudio, and essential code packages. Through hands-on exercises, learners gain practical experience in data modeling, visualization, and statistical analysis using R and RStudio.
Upon completion, participants receive a certificate of completion, validating their newly acquired skills. The course is structured to equip learners with the necessary tools and knowledge to explore and analyze diverse datasets effectively.
Instructor Barton Poulson, founder of data lab.cc and an associate professor of psychology, brings his expertise to guide learners through the lessons.
Barton has vast teaching experience and has authored several courses for LinkedIn Learning that the students can explore to build up their R programming skills.
Priced at $19, this program offers excellent value for money, especially considering the access it provides to a wide variety of courses.
With an excellent rating of 4.8/5, Learning R is highly recommended for beginners seeking to harness the power and flexibility of R for data analysis. Take the leap today and embark on a journey toward unlocking insights from your data like a pro!
This beginner-level online course is designed to equip learners with the fundamental skills needed for data analysis. With a time duration of 4.5 hours, Introduction to R offers an efficient learning experience. The short duration makes it a time-efficient way of learning.
The course covers various aspects of R programming, including vectors, lists, data frames, and matrices. Through hands-on exercises and real-world datasets, learners gain practical experience in utilizing R for data analysis tasks.
The comprehensive content provides a solid foundation for further learning, career progression, and a chance to apply concepts to real-world situations.
Upon completion of the course, learners receive a certificate, validating their acquired skills in R programming.
The certification adds value to one’s professional profile and showcases proficiency in data analysis using R. Priced at $18 per person; the course provides excellent value. It is an affordable investment for beginners seeking to enter the field of data analysis with R.
The course is instructed by Jonathan Cornelissen, co-founder of DataCamp and a passionate advocate for data science education. With a Ph.D. in financial econometrics, Jonathan brings a wealth of expertise and practical insights to the course.
With over 9,225 reviews and a rating of 4.5+, this course has gained significant acclaim among participants. Here’s what they have to say:
“I had already been introduced to R during my PhD Advanced Stats class. However, taking this Introduction to R course made me understand it from a deeper perspective. I recommend it!”
“I picked up programming after nearly 18 years of hands-off. The tutorials are very easy to introduce to a new language. Very easy to pick up and refresh the memory of familiar concepts like loops.”
Enroll now and unlock the power of R for data analysis!
This online course is designed for beginners aiming to acquire coding skills in R for data analysis and visualization. Over the course of approximately 20 hours, participants will gain a comprehensive understanding of R programming.
They will learn essential skills, including writing code in R, organizing and cleaning data, and creating impactful data visualizations. With 16 lessons, 10 projects, and 10 quizzes, learners will have ample opportunities to apply their knowledge in hands-on exercises. The course features a range of engaging projects.
Participants will employ statistical techniques to analyze a blood transfusion company’s user base in one project. Another project focuses on calculating population change over time using R syntax and operations. Additionally, learners will explore a dataset from 1985 cars, utilizing DataFrames, readers, and dplyr for in-depth analysis.
While no specific information is available about the instructors, this course is part of a platform trusted by professionals from leading companies such as Google, Amazon, Apple, and Meta. Priced at $13.99, the course provides exceptional value for money, including a certificate of completion upon finishing the program.
With a remarkable rating of 4.5 and 1,234 reviews, this course has received positive feedback from learners. Read the reviews for yourself:
“This is a great way to learn the fundamentals of R. The step-by-step tutorials allow you to build familiarity with common commands and some much needed muscle memory so that you can reflexively recall and execute a command at a moment’s notice.”
“This is one of the best online learning experiences I have ever had. Everything about this course feels right—the content, the UI, and delivery.”
Join over 50 million learners who have already benefited from this course. Enroll now to unlock the full potential of R and embark on your data-driven journey.
This intermediate-level course is a comprehensive online course designed to take your R and RStudio skills to the next level. It’s divided into 53 lectures and can be completed in approximately 6 hours, indicating that it’s suitable for busy professionals due to its short duration.
This advanced-level program focuses on data analytics, data science, and statistical analysis in business using R.
The course covers various topics, including data preparation, working with date times, lists, and advanced functions like gsub() and sub() for string replacement. Real-life case studies are included to provide practical application.
Throughout the course, students engage in hands-on exercises to gain practical experience. The depth of the content ensures a comprehensive understanding of advanced analytics techniques using R.
Upon completion of the lessons, students receive a certificate, validating their advanced skills in R programming and data analytics.
The course is instructed by Kirill Eremenko, a data scientist with extensive experience in the field. Kirill has a 4.5 instructor rating, 634,636 reviews, and has taught over 2.4 million students across 59 courses. This means that you can be sure that you are in good hands. Priced at $16.99, this program offers excellent value for money.
With a rating of 4.7 out of 5 and 8,473, this course has garnered positive student reviews. Here are some of these to give you an understanding of what learners think about the lessons:
“Feeling awesome on completing this course, Kirill is a very inspiring person and the videos are suitable for people in different parts of the world. He is incredibly cheerful and inspiring in other parts of life as well.”
“Really amazing course! I recommend this one after R Programming A-Z from the same instructor!”
Enroll now to take your R and data science capabilities to new heights and unlock exciting opportunities in the field!
This is one of the best R programming classes for beginners. The comprehensive program offers a deep dive into R, the programming language renowned for its statistical analysis capabilities in data science.
With a total duration of 6 hours spread across 87 high-quality lessons, students can expect to gain a solid understanding of R’s functionality.
You will have the opportunity to work with RStudio, an essential tool for R programming. The course also focuses on building a strong foundation in R by exploring the concepts of objects and coercion rules.
You will learn to create various types of objects, such as vectors and matrices, and gain the skills necessary to manipulate and analyze data effectively.
The course provides ample opportunities for hands-on experience through 7 practical tasks, ensuring that learners can actively apply what they’ve learned.
Upon completion, students will receive a certificate that they can share on LinkedIn to make themselves more noticeable to potential employers. Priced at $19 per month, this program offers excellent value for money
Simona Dobreva, a cognitive science researcher and author of the R for Statistics and Data Science course, brings her academic rigor and passion for excellence to the program. Iliya Valchanov, the co-founder of 365 Data Science and 3veta, complements the team with his expertise in mathematics, statistics, programming, machine learning, and deep learning.
With overwhelmingly positive student reviews and a rating of 4.8 out of 5, Introduction to R Programming comes highly recommended:
“Great course. Awesome communication. I loved the instructor’s simplicity in explaining complex topics – which made it easier for me to grasp! I look forward to another course from her.”
“I simply love this course! All the relevant concepts are very well explained and the infographics are superb. Also, the teacher’s way of introducing new concepts and her sense of humor helps. Highly recommended!”
Enroll today to embark on an exciting journey!
This online, self-paced course is offered by the Stanford School of Humanities and Sciences.
Designed for both beginners as well as for those who have some experience and want to brush up on their skills, this program provides a comprehensive introduction to R, a widely used programming language for statistical computing and graphics.
The lessons cover the basics of R, from installation to working with variables, data import, and basic statistical functions. Students can expect to gain proficiency in manipulating data types and variables, creating vectors, matrices, lists, and data frames, as well as performing data plotting and visualization.
One of the highlights of this course is the opportunity for hands-on experience through practical exercises and assignments. By engaging in these activities, students can actively apply their knowledge.
Upon completion, participants have the option to obtain a verified certificate at the standard price of $79, providing them with a recognized credential to showcase their skills.
The course is led by Professor Susan Holmes, an experienced statistician with a strong background in non-parametric multivariate statistics applied to biology.
She has a wealth of teaching experience and has authored a book on modern statistics for biology. With her expertise and guidance, students can expect to receive high-quality instruction throughout the program.
Enroll today to kickstart your journey toward mastering this powerful programming language and enhancing your data analysis skills!
Popular R programming Courses – FAQs
Which Is the Best Site to Learn R Programming?
Depending on your current knowledge and learning style, there are several top-rated websites to learn R programming. LinkedIn, Udemy, and DataCamp offer comprehensive courses ranging from beginner to advanced levels.
These sites feature a mix of video lectures, interactive exercises, and projects, often taught by industry professionals or university professors.
Is There a Certification for R?
Yes, there are various certifications for R programming. Sites like LinkedIn Learning offer certificate programs upon completion of their courses. These certificates can enhance your professional credibility and improve your job prospects by making you stand out among a pool of applicants.
Can I Learn R in a Month?
Learning R in a month is possible if you dedicate enough time and effort, although the depth of your knowledge will depend on your starting point and how much time you can commit. While a basic understanding of R’s functionality can be grasped in a few weeks of intense study, becoming proficient requires practice and continued learning.
In conclusion, brace yourself for an exhilarating adventure into the realm of data analysis and programming with R, the language that unlocks the secrets hidden within vast amounts of information.
Are you ready to dive deep into the world of R programming? Then look no further than the best R programming courses available today. These courses are immersive experiences crafted to ignite your passion for data and propel your skills to new heights.
Whether you’re a beginner with no prior coding knowledge or an experienced programmer seeking to expand your repertoire, these lessons cater to all levels, ensuring that everyone can join in the excitement.
Moreover, by joining these courses, you gain access to a vibrant community of fellow learners and industry experts, where you can share knowledge, exchange ideas, and foster collaborations.
So, why wait? Enroll in a top-rated course and watch your potential soar to new heights!