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Explore statistical data sets with R programming online training

R programming Online Training

Explore statistical data sets with R programming online training

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Instructor-Led Online Training

  • 24 Hrs Training
  • Experienced Trainer
  • Training certificate
  • Hands-on Sessions
$ 350
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Training Schedule
Start Date End Date No. of Hrs Time (IST) Day  
01 Apr 2017 23 Apr 2017 24 06:00 PM - 09:00 PM Sat, Sun
15 Apr 2017 07 May 2017 24 06:00 PM - 09:00 PM Sat, Sun
29 Apr 2017 21 May 2017 24 06:00 PM - 09:00 PM Sat, Sun

Schedule does not suit you, contact us now!    |    Want to take one-on-one training, contact us now!

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 administrator courses are a few.

Course Contents

Course ContentDetailed Course Topics

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

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

  • Forecaster
  • Risk analyst
  • Statistical geneticist
  • PhD scholars
  • Survey researcher
  • Academicians

Certification

After completing R programmingonline training course, students will receive a training certificate from Multisoft.

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