This is my personal course repo which includes the course notes, my personal notes, data used in class and home exercises.

About the course:

The first module consists of computational infrastructure, statistical inference for data science and programming languages disciplines: initial foundation on shell, Linux, R, Python and statistics.

The second module consists of big data processing, statistical models, data mining and machine learning and research methods.