*Learn R Programming (4.2) by Coding Along*
**Learn R 4.2 at your own pace!**
Are you starting you R programming journey? Are you a complete beginner in programming?
This course is suitable for you!
Why learn R using is 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!
In this course you will learn: