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Clear understanding of Statistical programming and R environment
In-depth knowledge of basic features, functions, operators available with R
Comprehensive information about programming statistical graphics
Ways of using simulation and numerical optimization
Extract data from R objects, perform reading and writing of Data, and handle databases
Use subscripting, character manipulation, and reshaping of data
Find probability, distributions, regression and correlation
Significance of sample size and its calculation. Advance data handling techniques
Lecture -1 Introduction to R
Lecture 2-10 Understanding R data structure
Lecture – 11 Importing data
Lecture 12-15 Manipulating Data
Lecture 16-17 Using functions in R
Lecture 18-19 R Programming
Lecture 20-21 Charts and Plots