R is a programming language is widely used by data scientists and major corporations like Google, Airbnb, Facebook etc. for data analysis. This is a complete course on R for beginners and covers basics to advance topics like machine learning algorithm, linear regression, time series, statistical inference etc.
What is R Programming Language? Introduction & Basics
How to Download & Install R, RStudio, Anaconda on Mac or Windows
R Data Types, Arithmetic & Logical Operators with Example
R Matrix Tutorial: Create, Print, add Column, Slice
Factor in R: Categorical & Continuous Variables
R Data Frame: Create, Append, Select, Subset
List in R: Create, Select Elements with Example
R Sort a Data Frame using Order()
R Dplyr Tutorial: Data Manipulation(Join) & Cleaning(Spread)
Merge Data Frames in R: Full and Partial Match
Functions in R Programming (with Example)
IF, ELSE, ELSE IF Statement in R
For Loop in R with Examples for List and Matrix
While Loop in R with Example
apply(), lapply(), sapply(), tapply() Function in R with Examples
Import Data into R: Read CSV, Excel, SPSS, Stata, SAS Files
How to Replace Missing Values(NA) in R: na.omit & na.rm
R Exporting Data to Excel, CSV, SAS, STATA, Text File
Correlation in R: Pearson & Spearman with Matrix Example
R Aggregate Function: Summarise & Group_by() Example
R Select(), Filter(), Arrange(), Pipeline with Example
Scatter Plot in R using ggplot2 (with Example)
How to make Boxplot in R (with EXAMPLE)
Bar Chart & Histogram in R (with Example)
T Test in R: One Sample and Paired (with Example)
R ANOVA Tutorial: One way & Two way (with Examples)
R Simple, Multiple Linear and Stepwise Regression [with Example]
Decision Tree in R with Example
R Random Forest Tutorial with Example
Generalized Linear Model (GLM) in R with Example
K-means Clustering in R with Example
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