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R Programming Training Courses

“R Programming Courses – you will learn with hands on practice, in-class seminars, training and certification from the list of World’s finest trainers”. Below listed Education Institutes provides you course materials, tutorial curriculum, demo videos, sample questions, books, tips and tricks. Get R Programming lectures by experts and practical lessons by instructors to improve your technical skills. Students will benefit with job placements and visa assistance in the United States.

  • 25+
    Learners(Last 6 months)
  • 1+
    Trainers(On roll)
  • 5+
    Batches(This month)

Key Highlights

  • Live or virtual instructor-led classes
  • Quality course material provided
  • Become a certified expert on the subject
  • Instant access to reference material
  • Get high-pay jobs offers post-training

Upcoming Instructor-Led R Programming Class Date & Time as on June 21, 2025

Jun 23 2025
Jul 23 2025
R Programming
R Programming
Online Training,
$0.0000
IT Tutor PRO
Jun 24 2025
Jul 24 2025
R Programming
R Programming
Online Training,
$0.0000
IT Tutor PRO
Jun 25 2025
Jul 25 2025
R Programming
R Programming
Online Training,
$0.0000
IT Tutor PRO
Jun 26 2025
Jul 26 2025
R Programming
R Programming
Online Training,
$0.0000
IT Tutor PRO
Jun 27 2025
Jul 27 2025
R Programming
R Programming
Online Training,
$0.0000
IT Tutor PRO
1880,

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R Programming

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Certified educators for R Programming training programs

Educators for R Programming training programs

FAQ's on R Programming training & certification

  • How is R better than the QlikView tool?

    R, a powerful programming language for statistical computing andgraphics, offers several advantages over the QlikView tool:

     

    1. Customization and Flexibility: R offers unparalleled adaptability and customization for data analysis and visualization. Its programming features enable you to customize your research to suit specific needs, which is helpful for challenging or specialized work.
    2. Statistical Analysis and Modeling: R has a large ecosystem of statistical packages and libraries, which makes it a popular choice for advanced statistical analysis, machine learning, and modeling. While QlikView is capable of basic analytics, it needs more depth and breadth of R's statistical capabilities.
    3. Data Manipulation: R libraries such as 'dplyr' and 'tidyr' allow for efficient and complex data manipulation and cleaning. This level of control is essential when preparing data for analysis. 
    4. Community and Libraries: R has a vast and active community of data professionals, resulting in many packages and resources for various analysis needs. QlikView focuses on visualization and business intelligence.
    5. Integration: R can integrate with other programming languages, databases, and tools. This is especially important in cases where your analysis must interact with multiple data sources.

     

    While QlikView excels at data visualization and business intelligence, Rexcels at deep statistical analysis, modeling, and customization. The choicebetween R and QlikView depends on your specific needs, technical expertise, andthe depth of research required.

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