I provide the basic learning of R statistical programming language along with data science algorithms. The explanation will be in very easy manner and you will learn most of the concepts by examples only.
The course content is as follows for R language.
1) Overview of R
2) Basic syntax in R
3) Basic Data Types in R
4) Main Data Types in R
5) Operators in R
6) Decision Making in R
7) Loops in R
8) Functions in R
9) String Manipulations in R
10) Vectors Data Type in R
11) List Data Type in R
12) Matrices Data Type in R
13) Arrays Data Type in R
14) Factor Data Type in R
15) Data frames Data Type in R
16) Data reshaping in R
17) Import data in R from external world ( CSV , XML , Excel , JSON, Webdata , Database)
18) R Charts and Graphs
19) R Statistical examples
20) Data Mining in R
The course content is as follows for R language.
1) Overview of R
2) Basic syntax in R
3) Basic Data Types in R
4) Main Data Types in R
5) Operators in R
6) Decision Making in R
7) Loops in R
8) Functions in R
9) String Manipulations in R
10) Vectors Data Type in R
11) List Data Type in R
12) Matrices Data Type in R
13) Arrays Data Type in R
14) Factor Data Type in R
15) Data frames Data Type in R
16) Data reshaping in R
17) Import data in R from external world ( CSV , XML , Excel , JSON, Webdata , Database)
18) R Charts and Graphs
19) R Statistical examples
20) Data Mining in R
