R Training


About R Training

R is a programming language and free statistical computing and graphics software environment promoted by the R Foundation. The R programming language is frequently used by statisticians and data miners for statistical software development and data analysis.

R is a widely used statistical programming language for data analysis and statistical computation. R is often used for data analysis and visualization.

R is a programming language and statistical computing and graphics software environment.

R Features

There are many features that can be extracted from R. Some of the most common and useful features include

  • Statistical Computation
  • Interpreted Language
  • Vector Operations
  • Data Processing
  • Charting Tools
  • Object-Oriented
  • Graphic Capabilities
  • Sophisticated Language

Benefits of R

R is a free software environment for statistical computation and graphics, it is backed by a large community of users, and it has a large number of available packages.

R is freely accessible under the GNU General Public License, and precompiled binary versions are available for several operating systems, including Linux, Windows, and Mac. R is an interpreted programming language, which implies that R programmes are not compiled prior to execution. Instead, the code is interpreted as it is performed, line by line. This may cause R code to execute considerably more slowly than code written in languages such as C or FORTRAN, which are compiled prior to execution. However, this also makes R far simpler to learn and use than these other languages.

About Us

Our Approach is simple towards various courses

A wide range of students can benefit from our courses, which are tailored to their specific learning styles. The courses we provide are Self-paced, Live instructor and Corporate Sessions.

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    1.All of the recorded videos from the current live online training sessions are now available.

    2.At your own pace, learn about technology.

    3.Get unlimited access for the rest of your life.

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    1.Make an appointment with yourself at a time that's convenient for you.

    2.Practical lab sessions and instructor-led instruction are the hallmarks of this course.

    3.Real-world projects and certification guidance.

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    1.Methods of instruction tailored to your company's specific requirements.

    2.Virtual instruction under the guidance of an instructor, using real-time projects.

    3.Learn in a full-day format, including discussions, activities, and real-world examples.


UppTalk Features

Flexible Training Schedule

Flexible Training Schedule

All of our courses are flexible, which means they can be adjusted according to your needs and schedule.
For students who cannot attend regular classes, we also offer part-time courses that allow you to learn at your own pace.
Learn more about our courses by taking a free demo today!

24 X 7 Chat Support Team

24 X 7 Chat Support Team

Our team is available 24 X 7 to ensure you have a satisfying experience of using our service.
If you need any kind of assistance, feel free to contact us and we will be happy to help you out.

24 X 7 Tool Access

24 X 7 Tool Access

You have access to the tool 24 hours a day, 7 days a week.
Note: Cloud Access will be scheduled a maintenance day on Saturday’s.

All of our cloud tools can be renewed after the expiry time period. And free technical support is provided.


Course Content

  • An Overview of the R Language
  • Statistics-based visualisation software development
  • The R Language for Statistical Computing and Programming
  • Simulation
  • Linear algebra computation
  • Optimization using numerical means
  • Data in R
  • Reading and Writing Data
  • Databases in R
  • Dates
  • Factors
  • Subscribing
  • Intentional Character Change
  • Compiling Information
  • Information Restructuring
  • Foundations
  • The R Environment
  • The Laws of Probability and Their Distributions
  • Graphs and statistics for elucidation
  • Tests with one and two samples
  • Correlation and regression analysis
  • Methods: • ANOVA and Kruskal-Wallis test
  • The use of tables
  • Estimating Power and Choosing a Sample Size
  • High-Tech Data Processing
  • Multivariate Regression Analysis
  • Models that are linear
  • Inference from Logs
  • An Overview of Survival Research
  • Regression by the Poisson distribution and rates
  • Curve fitting with nonlinearity

Frequently Asked Questions

There are several methods for learning R programming. You may discover a number of online and offline resources to assist you learn the fundamentals of the language. In addition, a variety of books are available on the topic.

R programming is a language for statistical programming.

As both R and Python have their own benefits and disadvantages, there is no conclusive solution to this topic. Ultimately, it relies on the user’s particular requirements as to which language is optimal for their goals.

It is impossible to determine which programming language is simpler, since this depends on the individual’s degree of expertise and comprehension. Python may be regarded simpler to learn than R since its learning curve is less steep and it emphasizes readability.

The R Foundation for Statistical Computation supports R, a programming language and open software environment for statistical computing and graphics. The R programming language is frequently used by statisticians and data miners for statistical software development and data analysis.

The finest resource for learning R is the R website. The website provides extensive documentation and learning tools for R.

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