This is an introductory hands-on course on Python programming language. We’ll cover the basic building blocks of the language including variables, data structures, loops, conditional structures, functions, and file manipulation. This course is designed to provide you with the ability to work with the data in a variety of tasks ranging from data pre-processing to data visualization and statistical data analysis by employing powerful libraries of Python such as Numpy, Scipy, Pandas, Matplotlib, and Seaborn. The exercises chosen to teach the concepts throughout the course are expected to provide a reference for an introduction to Data Science.