Data analytics is becoming the fashion in all domains. Related buzzwords, such as data mining, big data, artificial intelligence, machine learning, and deep learning, are floating around in all kinds of media. Through this course, we will study both the fundamental definitions of all buzzwords as well as common techniques, such as multivariate statistical inference and unsupervised and supervised learning algorithms. R or Python will be used throughout this course in order to analyze, compare, and link the different techniques to the practical world.

DA course is now designed in a blended learning format, which includes: asynchronous video learning; face-to-face discussion; homework exercises; and the final project collaboration.

(For those who would like to enroll in this course, you are strongly encouraged to attend the first lecture and see if the course eventually fits your interest. The registration code will be distributed after you sign up for the first lecture.)