R Programming the complete guide 2020

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About Course

What is R Programming?

The R programming language is used for data analysis, data manipulation, graphics, statistical computing, and statistical analysis. In short, R helps you analyze data sets beyond basic Excel file analysis. The R programming language and development environment are open source and have grown in popularity since its conception in the early 90s by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand.

The R Development Core Team is a community of developers engaged in the development and support of the R project from the R Foundation – a not-for-profit organization providing support for R and other innovations in statistical computing. R is a free software environment that runs on a wide variety of UNIX platforms, Linux, Windows, and Mac OS.

Jobs in R Programming

R programming skills are listed as a job requirement on thousands of jobs in the fields of statistics and data analysis. You’ll find R coding experience either required or recommended in job postings for data scientists, machine learning engineers, big data engineers, IT specialists, database developers, and much more. Adding R coding language skills to your CV will help you in any one of these data specializations requiring mastery of statistical techniques.

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Course Content

R Programming For Beginners

  • R Programming For Beginners
    00:00
  • Time Series Analysis – 2
    00:00
  • Time Series Analysis – 1
    00:00
  • Hierarchical Clustering
    00:00
  • Support Vector Machine in R
    00:00
  • Random Forest In R
    00:00
  • Logistic Regression in R
    00:00
  • Linear Regression Analysis using R
    00:00
  • Linear Regression in R
    00:00
  • Data Science With R Tutorial
    00:00
  • Data Science With R
    00:00
  • R Algorithms
    00:00
  • Data Visualization In R
    00:00
  • Pie Charts And Bar Charts In R
    00:00
  • Predictive Modelling Techniques
    00:00

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