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.