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.

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 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.

R Programming for Data Science

Lessons

Relational Operators in R

Logical Operators in R

Conditional Statements in R

For Loop in R Programming

While and Repeat Loop in R Programming

Functions in R Programming

Creating Functions in R

Apply Functions in R

Importing Data from External Data Sources in R

Importing Data Using read.csv in R

Import Data using read.table in R

Importing Data Using data.table – fread in R

Importing Data from Excel in R

Using XLConnect in R Programming

Importing Data from a Database in R

SQL Queries from R

Importing Data from Web in R

Master Data & AI for Finance