Diploma in R Programming

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    Mode Of Examination

    Online Examination

    Number Of Question: 100 (1 Marks Each)

    Total Time: 120 Min

    Syllabus

    History, Overview and Getting Started:

    The basics and history of R-Programming language, R programming installation and configuration and console input and evaluation.

    Nuts and Bolts and Getting Data In and Out:

    data types and dataset reading in R-Programming.

    R – Data Storage, Formats, Objects and Operations:

    Text data formats, connecting interfaces, basics of dplyr, vector operations and subsets.

    Control Structures, Functions, Scoping Rules, Loop Functions and Debugging:

    Control statements, date and time, functions, loops and scoping rules.

    Profiling, Simulation and Data Analysis:

    Basics of simulation, ggplot, r-profiler, wrangling of data and exploratory data analysis.

    Commands, Packages, Visualizing Data and Linear Regression:

    Commands and packages, data visualization and linear regression and predictive analysis.

    Distributions, Graphics & Neural Networks:

    Distribution, R programming graphics and neural networks.

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