Data Processing Advanced: a course on scientific computing with Numpy/Scipy
Researchers in many scientific and engineering fiels need to access, manipulate and analyze large amounts of data such as audio and video, images, text or physiological measurments. Data Science and Machine Learning are especially data-intensive fields. In this course you will learn how to leverage the Python tools for scientific computing to handle data in an efficient and effective manner. You will learn how to use numpy and scipy to load, transform and analyze data from a variety of domains. The topics covered will include: