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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)
  • 4+
    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 September 23, 2025

Sep 23 2025
Oct 23 2025
R Programming
R Programming
Online Training,
$0.0000
IT Tutor PRO
Sep 24 2025
Oct 24 2025
R Programming
R Programming
Online Training,
$0.0000
IT Tutor PRO
Sep 25 2025
Oct 25 2025
R Programming
R Programming
Online Training,
$0.0000
IT Tutor PRO
Sep 26 2025
Oct 26 2025
R Programming
R Programming
Online Training,
$0.0000
IT Tutor PRO
1880,

Find best R Programming learning centers

R Programming

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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.

About our R Programming Course

Welcome to our comprehensive R programming course! We are dedicated to providing you with an interactive and user-friendly learning experience. Our course is structured to cater to a USA audience, incorporating necessary semantic terms related to the course to ensure a smooth learning experience.

Overview of our R Programming Training

Our R Programming course is designed to equip you with the necessary skills to handle data analysis, statistical computing, and graphics. We aim to prepare you for the evolving demands of the data science industry.

Objectives of our R Programming Training Course

This course aims to empower you with the knowledge and practical skills in R programming, enabling you to handle and interpret complex data, perform statistical operations, and generate compelling graphical representations.

What You Will Learn in our R Programming Classes

  • Understanding R data structure and syntax
  • Developing robust R scripts and functions
  • Performing data manipulation and analysis
  • Creating compelling graphical representations of data
  • Implementing statistical models in R
  • Applying R programming in Data Science

Course Details

Our R programming course spans over 12 weeks, suitable for intermediate level learners. Basic knowledge of programming and statistics is recommended but not compulsory. Upon completion of the course, you will receive a certificate of accomplishment.

Course Syllabus

Our R Programming Training covers an array of modules, each packed with valuable insights and knowledge.

  • Module 1: Introduction to R
    • Understanding R and its applications
    • Navigating the R environment
    • Understanding R data types and variables
    • Performing basic operations in R
  • Module 2: Intermediate R Programming
    • Understanding R data structures
    • Learning R syntax and statements
    • Creating functions in R
    • Handling errors and exceptions in R
  • Module 3: Advanced R Programming
    • Performing data manipulation in R
    • Implementing statistical models in R
    • Generating graphics using R
    • Applying R in Data Science

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