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    R Programming for Data Science

    Learn the fundamentals of R programming essential for data science.

    This is an essential course in R programming and discusses the core programming principles of R.

    The first section covers the fundamentals of R programming language and how to start using it for finance. You will also learn the basics of data analysis with R using the common data structures such as vectors, matrices, lists and data frames.

    The next section covers the key topics like control structures, relational and logical operators, conditional statements, loops and functions.

    You will also learn about how to import data into R from various sources such as flat files, excel files, databases, web and other software.

    Finally, you will learn the concepts of R functions so that you can write your own functions and automate analysis tasks.

    Lessons

    01

    Relational Operators in R

    Start
    02

    Logical Operators in R

    Start
    03

    Conditional Statements in R

    Start
    04

    For Loop in R Programming

    Start
    05

    While and Repeat Loop in R Programming

    Start
    06

    Functions in R Programming

    Start
    07

    Creating Functions in R

    Start
    08

    Apply Functions in R

    Start
    09

    Importing Data from External Data Sources in R

    Start
    10

    Importing Data Using read.csv in R

    Start
    11

    Import Data using read.table in R

    Start
    12

    Importing Data Using data.table – fread in R

    Start
    13

    Importing Data from Excel in R

    Start
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    14

    Using XLConnect in R Programming

    Start
    15

    Importing Data from a Database in R

    Start
    16

    SQL Queries from R

    Start
    17

    Importing Data from Web in R

    Start

    Premium Course

    Unlock all lessons and resources in R Programming for Data Science.

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    What's Included

    Online Lessons

    Chat with Lessons

    Quizzes

    Course Project

    Downloadable Ebook