Complete R Programming course: Beginner to Advanced Level

Master R 4.2: Clear Understanding of Data Aggregation, Tidyverse, reshape, tidyr, dplyr, data.table packages and so on!
What you'll learn
Advanced data analytics with dplyr package
Advanced analytics with datatable package
How to perform sorting, subscripting, Merging of R Data structures
Data Aggregartion using dplyr and data table packages
Data Aggregation with aggregate function
Data Analysis with Apply family of functions: apply(), sapply(), tapply(), lapply()
Importing data into R using tidyverse package
Restructuring real datasets with reshape package
Restructuring real world datasets with melt and cast functions
Restructuring real datasets with tidy package package
Restructuring real world datasets with gather and spare functions
How to work with categorical data
what are factors in R?
Regular expression with grep & gsub function
if statements: nested in statements
How to use the switch function in r
Complete explanations of the for loops and while loops using R
How to use loops within your own functions
How to create, manage and subscript R Data Structures
Complete explanation and Application of Vectors, Matrices and Arrays with real datasets
Complete explanation and Application of Dataframes and Lists
Calling R Functions & How to write your own functions
R for Complicated mathematics formulae
Master R 4.2
What is the Pipe Operator & How to use it
Requirements
No prior programming experience
The course requires only internet connection for installing r studio
Eager to learn
Description
*Learn R Programming (4.2) by Coding Along*
Are you starting you R programming journey? Are you a complete beginner in programming?
This course is suitable for for!

Why learn R using this course?
This course covers all the theory needed for the understanding of writing a well neat R code. The latest version of R and R Studio is used to cover all   the required concepts for everyone who wants to have a career in the fields like:
Data Analyst
Quantitative Analyst
Data Scientists
Financial Analysts and many other high paying careers
By the end of this course you will have mastered:
1. The Basics of R
R Data Types
R for Basic Maths
Complicated Arithmetic formulas R
2. Data Structures in R
Vectors
Matrices
Arrays
Dataframes
Lists
3. Working with Categorical Data
What is categorical Data?
Factors in R programming – what are factors in r
Creating factors
Regular expression – grep and gsub functions in r
4. Functions in R
Calling R functions
Writing R functions
5. if statements
Stand-alone statement
else if & else statements
using if statements in functions
nested if statements
switch function
6. Loops
what is a loop?
for loops
while loops
nested loops
using loops within a function
7. The apply family of functions
apply function
lapply function
sapply function
tapply function
8. Importing Data into R with tidyverse
read a csv file in r
read an excel file in r with tidyverse
9. Data Manipulation & Transformation in R
Sorting, Appending and Merging
Duplicated Values
Restructuring with reshape package
Melting and Casting
Restructuring with tidyr package
Gather and spare
Data Aggregation
10. dplyr package
Sorting
Subscripting
Merging
Aggregation
What is the pipe operator in r?
11. data.table package
Setting Key & Subscripting
Merging & Aggregation
I'm certain you will enjoy this course!

Who this course is for:
Beginner R programmers curious about working with data
R programmers who are looking for a unique way of learning R

More Info