R Programming Training

Data Science with R Programming training course has been designed to prepare you for a great opportunity in the analytics space. R Programming is the most used programming language, today in the data science and analytics field. Since it's an open source in nature and very powerful, R is becoming the language of choice of data scientists around the world. R is first step in the field of data science and a must-have for every data scientist.

INTRODUCTION TO R

• What is R
• Features of R
• SAS versus R
• Obtaining and managing R
• Installing R
• Packages
• R interfaces
• R Library

Data Structure

• Vector – Numeric and character
• Factor
• Matrix
• Data Frame
• List

Basic of R

• NA
• Missing
• Multiplication
• Missing value
• Convert numeric variable to character
• Convert numeric variable to numeric
• Mode
• Class

Inbuilt Functions of R

• Environment functions
• Statistical Functions
• Text Functions
• Mathematical Functions
• Create data in r
• Reading data in R from various sources
• Writing data (export data) from R

Control Structure of R

• If and else
• For
• Repeat
• While

Loop Function of R

• Apply
• Sapply
• Lapply
• Split

Transpose

• Wide structure to long
• Long structure to wide

Merging

• Inner
• Left
• Right
• Full
• Cross

Data manipulation

• Sampling
• Filter
• Grouping
• Summarization
• Distinct
• Select
• Arrange
• Mutate
• Rank

Date and time in R

• Dates in R
• Time in R
• Operation on Dates and Time on R

Graphs in R

• Creating a graph
• Density Plot
• Dot Plot
• Bar Plot
• Line Charts
• Pie Charts
• Box Plot
• Scatter Plot
• Histogram

Character Function

• Is Character
• Paste
• Sprint
• Substr
• Nchar
• Sub
• Word
• To-lower
• To-upper
• Trimws
• Clean