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 bner in programmingThis course is suitable for for!Why learn R using this courseThis 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 AnalystQuantitative AnalystData ScientistsFinancial Analysts and many other high paying careersBy the end of this course you will have mastered:1. The Basics of RR Data TypesR for Basic MathsComplicated Arithmetic formulas R2. Data Structures in RVectorsMatricesArraysDataframesLists3. Working with Categorical DataWhat is categorical DataFactors in R programming – what are factors in rCreating factorsRegular expression – grep and gsub functions in r4. Functions in RCalling R functionsWriting R functions5. if statementsStand-alone statementelse if & else statementsusing if statements in functionsnested if statementsswitch function6. Loopswhat is a loopfor loopswhile loopsnested loopsusing loops within a function7. The apply family of functionsapply functionlapply functionsapply functiontapply function8. Importing Data into R with tidyverseread a csv file in rread an excel file in r with tidyverse9. Data Manipulation & Transformation in RSorting, Appending and MegDuplicated ValuesRestructuring with reshape packageMelting and CastingRestructuring with tidyr packageGather and spareData Aggregation10. dplyr packageSortingSubscriptigAggregationWhat is the pipe operator in r11. data.table packageSetting Key & Subscriptig & AggregationI'm certain you will enjoy this course!

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

HomePage:

https://anonymz.com/https://www.udemy.com/course/rprogrammingcourse/

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