NumPy for Data Science Beginners

This course covers everything from how to install and import NumPy to how to solve complex problems involving array creation, transformations, and random sampling. The course is presented as a series of on-demand lecture style videos with lots of animated examples, code walkthroughs, and challenge problems to test your knowledge. Go as fast or as slow as you want. It's difficult to describe everything around us with just one number. The data we are consuming, product we use on daily basis, from non living organism to living organism require many feature to fully characterise and quantify it. So if you want to learn about fastest python based numerical multi dimensional data processing framework, which is the foundation for many data science package like pandas for data analysis, sklearn scikit-learn for machine learning algorithm, you are at right place.