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R programming language

R programming is an open source programming language for statistical computing and graphics supported by the R Foundation for Statistical Computing.Data analysis with R is done in a series of steps; programming, transforming, discovering, modeling and communicate the results. R is a clear and accessible programming tool. If you want to give the best insight from the data, then you need to spend some time learning the appropriate tool, which is R.
Here are job opportunities in r programming:
  • R programmer.
  • Data Scientist.
  • Data Analyst.
  • Data Architect.
  • Data Visualization Analyst.
  • Geo Statisticians.
  • Database Administrator.
  • Quantitative Analysis with R.

  • ₹14000₹24000  41% Discount


    •  24 hours on-demand Support
    •  9 Supplemental Resources
    •  Full lifetime access
    •  Access on mobile and TV
    •  Certificate of Completion

    what You Will Learn Here?

    Just see, you will learn every thing you want to learn here
  • Elementary Statistics with R
  • Qualitative Data
  • Frequency Distribution of Qualitative Data
  • Relative Frequency Distribution of Qualitative Data
  • Bar Graph/Pie Chart/Histogram
  • Category Statistics
  • Cumulative Frequency Distribution
  • Cumulative Frequency Graph
  • Cumulative Relative Frequency Distribution
  • Cumulative Relative Frequency Graph
  • Stem-and-Leaf Plot/Scatter Plot
  • Numerical Measures:Mean/Median/Quartile/Percentile/Range/Interquartile Range..

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    Course Content and Syllabus for R (programming language)

    Fundamentals of R Language Overview of R Language Data Types in R Language Variable in R Language
    Operators in R Language Decision Making of R Language Loop control in R Language Array in R Language
    String in R Language Function in R Language Vector in R Language Lists in R Language
    Matrices in R Language Factors in R Language Data Frames in R Language Packages in R Language
    Data Reshaping in R language Data and File Management Graphical Procedures Introduction plot function

    R (programming language) Course and Duration

    Track Regular Track Weekend Track Fast Track
    Course Duration 45 - 60 Days 8 Weekends 5 Days
    Hours 2 hours a day 3 hours a day 6+ hours a day
    Training Mode Live Classroom Live Classroom Live Classroom

    R is freely available under the GNU General Public License, and pre-compiled binary versions are provided for various operating systems like Linux, Windows and Mac.The term “environment” is intended to characterize it as a fully planned and coherent system, rather than an incremental accretion of very specific and inflexible tools, as is frequently the case with other data analysis software.R is very much a vehicle for newly developing methods of interactive data analysis.It has developed rapidly, and has been extended by a large collection of packages. However, most programs written in R are essentially ephemeral, written for a single piece of data analysis. R is an integrated suite of software facilities for data manipulation, calculation and graphical display. Among other things it has

  • an effective data handling and storage facility,
  • a suite of operators for calculations on arrays, in particular matrices,
  • a large, coherent, integrated collection of intermediate tools for data analysis,
  • graphical facilities for data analysis and display either directly at the computer or on hardcopy, and
  • a well developed, simple and effective programming language called ‘S’