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With multiple R Programming Courses & Certification available, it’s quite difficult for students to find the best R Programming Course for their needs. Often we’re asked by students if there is a single course that fits all use-cases. The answer is YES. You can enrol in any popular R Programming Courses & Certification mentioned below.
Depending on your use case, you can choose the one that best suits your needs.
Our focus with this article is to highlight the best and most popular R Programming Courses in their respective categories.
Table of Contents
Duration: 17. Hours
Rating : 4.6 out of 5
Jose Marcial Portilla has an MS in data science and programming from Santa Clara University and comes with years of experience as a developer and instructor. He will teach you in one of his best courses how to use R for data science , machine learning and data visualization. You can also learn about R’s advanced features in addition to learning programming with R, use R Data Frames to tackle difficult tasks & manage Excel Files among many other functions. Definitely, you should take a peek at top ml courses.
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Duration: 10.5 Hours
Rating : 4.6 out of 5
Nearly 50,000 students attended this program and are highly rated by most users! You will learn programming during the curriculum in R And R Studio. It is natural to get frustrated with R’s steep learning curve, so you will receive step by step guide to go naturally. This is one of the finest R Programming Tutorials we recommend. See Best Data Science Course too.
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Duration: 8 weeks, 1 to 2 hours per week
Rating: 4.6 out of 5
It is a reality that R is now one of the most popular languages in past years which can be used in a range of fields. This course has been designed to present you to the fundamental principles of R programming. Explore the key notions by solving a real dataset problem. Before going on to vector function, cover R function and data types work like sorting. You will be able to work with various methods that can address problems in different fields by using this language.
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Duration: 5 Hours
Rating : 4.5 out of 5
This course teaches you how to program and use it for effective data analysis in R. It also includes reading R data, accessing R packages, writing R features, debugging and commenting on R code. This is taught by Roger D. Peng, PhD, Biostatistics Associate Professor; Jeff Leek, PhD, Biostatistics Associate Professor, and Brian Caffo, PhD Professor, Biostatistics.
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Duration: 6 Months
Rating : 4.4 out of 5
Get rigorous R language training at John Hopkins University with this certification course. Understand how complex data are handled, build R packages and develop personalized data visualisations. Roger D. Peng, PhD Associate Professor, Biostatistics and Brooke Anderson, Assistant Professor, Environmental and Radiological Health Science, developed and taught it.
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Duration:
Rating : 4.7 out of 5
This Statistics program was developed by the University of Duke and is taught by Professor Mine Çetinkaya-Rundel; Professor David Banks; Assistant Professor Colin Rundel and Professor Merlise A Clyde. This is intended for you if you really are looking to learn R statistics and also want to know how to interpret data through inference, modelling and Bayesian approaches. Look at the right statistics courses as well.
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Duration: 6 Hours
Rating : 4.7 out of 5
Those who really want to dive deep into R should find this course very beneficial. Trainer Kirill Eremenko will help you to reach the next level of your R & R skills. Understand all about data analytics , data science, business statistical analysis, R and R Studio, GGPlot2.
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Duration: 2 hours 25 minutes
Rating : 4.6 out of 5
Barton Poulson introduces you to the statistical processing language R in this course instructor. Start downloading R on your machine before taking the classes. The lessons cover areas such as having read SPSS data and spreadsheets and using advanced R function packages. Furthermore, learn to construct charts and graphs, to test statistical assumptions and data reliability. Complete the lectures with lectures about how to share knowledge through presentations, blogs and graphs.
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Duration: Self-paced
Rating : 4.6 out of 5
With a list of 14 courses, this platform has assembled a list of training courses that will be useful if you look forward to working on your programming R. The different courses concentrate on various aspects of the use of this language in different fields with specific methods. When you are looking for courses to improve your fundamentals, there will be lectures focused on R programming concepts, R data science, data visualization and many more. In various fields, such as machine learning, data processing, and research, there are several programs that concentrate on using R. You should have the faith and expertise to apply the learned knowledge in various projects by the end of your selected course.
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Duration: 3 Hours
Rating : 4.4 out of 5
In this course developed by Bogdan Anastasiei, who teaches quantitative business methods at University of Iasi, Romania, learn basic statistical analysis using the R programme. He provides some great perspective beyond standard training with his 20 years of teaching experience.
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Duration: 2 hours 46 minute
Rating : 4.6 out of 5
‘Lunchbreak Lessons’ is intended to teach you one of most popular data analysis and reporting programming languages. Find out about language basics, methods to enhance existing R code, explore new and interesting features and learn about useful libraries and development resources that give you a chance to make your experience even more successful. Once this training has been completed, you have the skills and trust to develop your own code and solve real-world problems.
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Duration: 3 months, 10 hours/week
Rating: 4.5 out of 5
R is one of the most common programming languages in the IT sector, especially in the field of data science. If you are also one of those who want to pursue a career in the field of data science, this course is right for you. This course teaches you the basic tools for the programming of data sciences like SQL, R and Git to solve real-world analysis problems. This program is also integrated with several projects in the real world which allow you to test your knowledge and develop your skills. This course is part of Udacity ‘s School of Programming, which means you can participate in other Nanograduate programs after this course.
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Duration: 9 Hours
Rating : 4.6 out of 5
Neurohacking includes using R to control, process and analyze neuroimaging data. The course focuses on structural magnetic resonance imaging and addresses topics such as the correction of inhomogeneity, image identification and image visualization. This is taught by Dr Elizabeth Sweeney, Fellow Biostatistics of the Rice Academy; Ciprian M. Crainiceanu, Biostatistics Professor; John Muschelli III, Assistant Scientist.
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That’s the list of 13 Best R Programming Courses & Tutorials of 2023 with high-quality content. They are popular and loved by many R Programmers. Between these courses, you are sure to find what you need to learn to continue your path of R Programming.
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