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    Quick Facts

    Medium Of InstructionsMode Of LearningMode Of Delivery
    EnglishSelf StudyVideo and Text Based

    Courses and Certificate Fees

    Fees InformationsCertificate AvailabilityCertificate Providing Authority
    INR 1000yesIIT Kanpur

    The fees for the course Foundations Of R Software is :

    Fees componentsAmount
    Exam feesRs. 1,000

    The Syllabus

    • Why R and Installation Procedure; Help, Demonstration, and Examples in R
    • Packages and Libraries in R
    • Command Line and Data Editor

    • Introduction to R Studio
    • Basic Operations in R
    • R as a Calculator with Scalars and Data Vectors : Addition, Subtraction, Multiplication & Division 

    • Calculations with Data Vectors :Addition, Subtraction, Multiplication & Division
    • R as a Calculator with Scalars and Data Vectors : Power operations, Integer and Modulo divisions
    • Built in Functions and Assignments
    • Matrices 

    • Row, Column & Other Operations; Matrix Operations – Access and Mathematical Operations
    • Matrix Operations – Mathematical and Other Operations
    • Logical Operators
    • Relational and Logical Operators 

    • Missing Data Handling, Conditional Executions – If and If-Else, Conditional Executions – Nested if else if and ifelse
    • Functions for Conditional Executions – switch and which commands 

    • Loops – for loop
    • Loops – while and repeat
    • Functions
    • Sequences 

    • More Sequences and Other Operations
    • Sequences of Dates and Alphabets
    • Repeats
    • Sorting, Ordering and Mode
    • Lists 

    • Operations on Lists
    • Vector Indexing
    • Factors
    • Factors – Class and Unclass
    • Strings – Display and Formatting : Print and Format Function 

    • Strings – Display and Formatting: Print and Format with Concatenate
    • Paste Function
    • String Splitting
    • Manipulations with Strings and Alphabets 

    • Strings – Display and Formatting: Substitution and Replacement of Strings
    • Data Frames
    • Data Frames
    • Creation and Operations
    • Data Frames: Combining and Merging

    • Data Handling: Importing and Reading CSV and Tabular Data Files
    • Importing and Reading EXCEL and other Data Files
    • Saving and Writing Data Files
    • Introduction to Statistical Functions: Introduction, Frequencies and Partition Values

    • Graphics: Scatter Plot and Bar Plots
    • Sub-Divided Bar Plots and Pie Diagram 
    • Histogram
    • Bivariate and Three Dimensional Scatter Plots
    • Some Examples of R Programming

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