R Courses for Beginners, Intermediate & Professional Developers

Statistical computing and graphic presentation are integral parts of the web as well as software development. R is free software environment and programming language for statistical computing. R programming language and codes are more supportive and useful for developers to develop statistical software and automated tools used in E-Commerce. Today, R language is widely used in Poll construction, data analysis, surveys of data miners and statistical applications.

 

How to Learn?

Programming Language Schools and Institutes are the best places to learn these programming disciplines and codes. In general, the trainees and learners should draw an outline regarding where and how to learn R programming. They need to check out actual worth and importance of R programming language in the IT industry across the world.

 

What to Learn?

For Beginners

Learning R programming is much productive, supportive and beneficial for the E-Commerce business, data managers, survey miners and graphic designers. They all need to be experienced and skilled in using R programming language, interface, and integration with multiple languages and disciplines. The beginners should focus on R interfaces, front-end graphics, integrated development environment and derived codes.

 

For Intermediate Developers

Average learners should try their level best to grip some advanced and few primary techniques of R programming and modules. They have to learn about the codes and disciplines associated with R interfaces and programming language. In this way; these developers can integrate R codes and disciplines with rest of programming languages to develop the modules and specific software.

 

For Advanced Developers

Professional, trained and experienced developers always focus on the modified, latest and powerful modules and interfaces of R programming. They know the actual value and usefulness of this top programming language that helps the developers to design and make statistical and graphics software for E-Commerce business. These skills are more useful to design virtual and digital polls, statistical graphs and other apps.

 

1. R Basics

R Basics

  • Technical Level: Beginner
  • Price: Free
  • Duration: 4 hours
  • Type: Online
  • Certification: Yes

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2. Data Science Certification Training – R Programming

Data Science Certification Training

  • Technical Level: Beginner, Intermediate, Advanced
  • Price: $199
  • Duration: 180 days
  • Type: Online & Self Paced learning
  • Certification: Yes

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3. R Programming Training

R Programming Training

  • Technical Level: Beginner, Intermediate, Advanced
  • Price: Free
  • Type: Online
  • Certification: Yes

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4. Introduction to R

Introduction to R

  • Technical Level: Beginner
  • Price: Free
  • Duration: 4 hours
  • Type: Online
  • Certification: Yes

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5. Time Series Analysis and Forecasting in R

Time Series Analysis and Forecasting in R

  • Technical Level: Intermediate
  • Price: $74.99
  • Duration: 4 hours
  • Type: Online
  • Certification: Yes

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6. R Programming for Data Science Course

R Programming for Data Science Course

  • Technical Level: Intermediate
  • Price: $150
  • Duration: 16 hours
  • Type: Online & Self Paced
  • Certification: Yes

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7. R Data Pre-Processing & Management

R DATA PRE-PROCESSING & MANAGEMENT

  • Technical Level: Beginner
  • Price: $109.99
  • Duration: 4 hours
  • Type: Online
  • Certification: Yes

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8. Data Management and Preparation Using R

Data Management and Preparation Using R

  • Technical Level: Beginner
  • Price: $29/ Month Subscription
  • Duration: 1 hour 59 mins
  • Type: Online
  • Certification: No

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9. Introduction to R for Data Science

Introduction to R for Data Science+

  • Technical Level: Beginner
  • Price: Free
  • Duration: 12 hours
  • Type: Online
  • Certification: Yes

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10. Setup and Start R Programming

Setup and Start R Programming

  • Technical Level: Intermediate
  • Price: $19.99/ Month Subscription
  • Duration: 1 hour 42 mins
  • Type: Online
  • Certification: No

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11. Master R Programming Training

Master R Programming Training

  • Technical Level: Beginner, Intermediate, Advanced
  • Price: $499
  • Duration: 32 hours
  • Type: Online
  • Certification: Yes

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12. R For Data Science With Real Exercises

R For Data Science With Real Exercises

  • Technical Level: Beginner
  • Price: $199.99
  • Duration: 10 hours 30 mins
  • Type: Online
  • Certification: Yes

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13. R for Data Science

R for Data Science

  • Technical Level: Beginner
  • Price: Free
  • Duration: 3 hours
  • Type: Online
  • Certification: Yes

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14. R Programming Fundamentals

R Programming Fundamentals

  • Technical Level: Beginner
  • Price: $29/ Month Subscription
  • Duration: 7 hours
  • Type: Online
  • Certification: No

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15. Programming in R for Data Science

Programming in R for Data Science

  • Technical Level: Beginner, Intermediate, Advanced
  • Price: Free
  • Duration: 28 hours
  • Type: Online
  • Certification: Yes

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16. Data Science with R

Data Science with R

  • Technical Level: Beginner
  • Price: $29/ Month Subscription
  • Duration: 2 hours 30 mins
  • Type: Online
  • Certification: No

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17. Analyzing Big Data with Microsoft R

Analyzing Big Data with Microsoft R

  • Technical Level: Intermediate
  • Price: Free
  • Duration: 16 hours
  • Type: Online
  • Certification: Yes

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18. R Programming for Absolute Beginners

R Programming for Absolute Beginners

  • Technical Level: Beginner
  • Price: Free
  • Duration: 3 hours
  • Type: Online
  • Certification: Yes

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19. R Programming: Advanced Analytics

R Programming: Advanced Analytics

  • Technical Level: Beginner
  • Price: $199.99
  • Duration: 6 hours
  • Type: Online
  • Certification: Yes

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How to Become Professional?

R programming language is extremely famous among the statistical software and app developers. The beginners in IT industry and software development make unlimited efforts to learn R programming and become professional in this language. They have to focus and adapt following tips to become a good professional in R disciplines and codes.

  • R programming language brings a number of skills, techniques, and codes.
  • Learners should start from the basic learning and grip all fundamental codes and disciplines.
  • They should read about R programming, its interfaces, modules, and applications in software and web app development services.
  • They have to select some specific skills and codes of R programming.
  • It is better for these developers to test and make practice after learning every R programming discipline or skill.
  • Concentration, hardworking and practices are three big rules to become professional in a programming language.
  • Learners have to watch video tutorials and read informative contents about R programming applications.
  • Further, it is high time for learners to make practices and develop some manual scripts for statistical apps.
  • Now, they should edit and update some existing apps and statistical software with their creative skills and practices.
  • In the end, they should make sure whether they have become professional in R programming or not. For this; Skill Tests are good options for developers.

 

Most IT professionals and students concentrate on the easiest and most reliable ways to learn programming languages. They take a huge interest in learning specific languages like R, Java, JavaScript, PHP, Python, C#, C++, Objective C, HTML & CSS, and Ruby. Learners should find out best information and tips prior to starting learning popular programming languages in a career.