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R Programming Training Certification Course Online

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R is a leading programming language used for statistical computing and graphical techniques. It is the choice of data scientists and statisticians. It is a simple and effective programming language that includes conditional statements, loops, operators for calculations on arrays, user-defined functions, and input-output operations.

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Duration: 24 Hrs

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Instructor-Led Online Training Parameters

Course Highlights

  • Duration: 24 Hrs.
  • Subject Matter Expert
  • After Training Support
  • Lifetime E-Learning Access
  • Recorded Sessions
  • Free Online Assessments
One to One training One to One Training

R Programming Online Training Course Overview

R is a leading programming language used for statistical computing and graphical techniques. It is the choice of data scientists and statisticians. It is a simple and effective programming language that includes conditional statements, loops, operators for calculations on arrays, user-defined functions, and input-output operations.

R programming online training course explains the fundamentals of the R language and the techniques to get insight in complex data. The course is widely divided into three broad categories:

  1. Essential to R programming
  2. Data Manipulation Techniques using R programming
  3. Statistical Applications using R programming

Upon the completion of the training, the candidates will be proficient in the following skills:

  • Elucidate the programming concept in R language
  • Practice numerical optimization and linear algebra
  • Handle reading and writing of data in databases
  • Explain R environment
  • Execute advance data handling techniques
  • Run statistical applications using functionalities like probability and regression

Other than R programming course, we also offer a plethora of courses for the candidates interested in Data and Business Analysis. To name a few SAS programmer and Hadoop administration course are a few.

R Programming Online Training Course Content

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1. Essential to R programming

  • An Introduction to R
  • Introduction to the R language
  • Programming statistical graphics
  • Programming with R
  • Simulation
  • Computational linear algebra
  • Numerical optimization

2. Data Manipulation Techniques using R programming

  • Data in R
  • Reading and Writing Data
  • R and Databases
  • Dates
  • Factors
  • Subscripting
  • Character Manipulation
  • Data Aggregation
  • Reshaping Data

3. Statistical Applications using R programming

  • Basics
  • The R environment
  • Probability and distributions
  • Descriptive statistics and graphics
  • One- and two-sample tests
  • Regression and correlation
  • Analysis of variance and the Kruskal–Wallis test
  • Tabular data
  • Power and the computation of sample size
  • Advanced data handling
  • Multiple Regression
  • Linear models
  • Logistic regression
  • Survival analysis
  • Rates and Poisson regression
  • Nonlinear curve fitting

Target Audience

Anyone having a basic understanding of statistics can undergo this training. This training is also intended for the following candidates:

R Programming Online Trainer Profile

Build strong R Programming Online skills under expert trainers with 17+ years of industry experience, focusing on real-time project handling, integrations, and financial system implementations.

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✔Build strong fundamentals through a structured curriculum aligned with real-world project requirements and current industry standards.

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