Syllabus

Overview of R, R data types and objects, reading and writing data, Control structures, functions, scoping rules, dates and times, Loop, functions, debugging tools Simulation, code profiling.
Implement well-known algorithms in Data Mining using R, Explore Data Mining tools like WEKA, MATLAB. Mini Project on Data Analysis using data mining tools.

To make the students understand the different constructs of R programming Languages .

To learn various data mining techniques and their applications.

• Aware of different statistical techniques used for analyzing data.
Aware of various data mining algorithms for analyzing various data in numerous applications.

Pang-Ning Tan, Vipin Kumar and Michael Steinbach, Introduction to data mining, Pearson , 2007 Edition.

Norman Matloff, The Art of R Programming: A Tour of Statistical . Software Design, - , 1st Edition