Published 11/2022
Created by Nkosingimele Ngcobo || hi-mathstats
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 122 Lectures (7h 38m ) | Size: 2.8 GB
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
ata 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 Data?Factors 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 loop?for 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 MergingDuplicated ValuesRestructuring with reshape packageMelting and CastingRestructuring with tidyr packageGather and spareData Aggregation10. dplyr packageSortingSubscriptingMergingAggregationWhat is the pipe operator in r?11. data.table packageSetting Key & SubscriptingMerging & AggregationI'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
Homepage
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