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Master R 4.2.2: Learn Data Aggregation, Tidyverse, reshape, tidyr, dplyr, data.table packages and so on!
Updated on Sep, 2026
Programming, Data Science, R Programming
Duration - 7.5 hours
Training 5 or more people ?
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Learn R Programming (4.2) by Coding Along
Learn R 4.2 at your own pace!
Are you starting your R programming journey? Are you a complete beginner in programming?
This course is suitable for you!
Why learn R using this course?
This course covers all the theories needed for an 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 fields like:
Quantitative Analyst
Financial Analysts and many other high-paying careers
By the end of this course, you will have mastered:
Complicated Arithmetic formulas R
2. Data Structures in R
3. Working with Categorical Data
What is categorical Data?
Factors in R programming – what are factors in r
Regular expression – grep and gsub functions in r
Stand-alone statement
else if & else statements
using if statements in functions
nested if statements
using loops within a function
7. The apply family of functions
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
Restructuring with reshape package
Restructuring with tidyr package
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:
Check out the detailed breakdown of what’s inside the course
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