- Basic computer programming knowledge would be a plus
In this course we teach R programming language which is an interpreted language. An interpreted language does not need a compiler. That is, part of the program can be run without requiring all the program to be complete. R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. The R language is widely used among statisticians and data miners for developing statistical software and data analysis. R ranks 9th in the TIOBE index, a measure of popularity of programming languages. R and its libraries implement various statistical and graphical techniques, including linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, and others. R is easily extensible through functions and extensions, and the R community is noted for its active contributions in terms of packages.
Who this course is for:
- Statisticians, Bioinformaticians, Economists, University Students Studying Statistics, Economy
Prof. Dr. Academic Educator is working in University. He is teaching communication, signal processing, VHDL programming and hardware courses for years. He is interested in VHDL programming of FPGA devices. Prof. Dr. Academic Educator has written 10 text books all related to Electrical and Electronics engineering subjects, such as VHDL programming, coding theory, signal and systems etc.