Students will be introduced to concepts in Network Science on real data. At the end of the course the student would be able to analyze different properties and dynamical processes in real complex networks, and they would be able to model and visualize networks and dynamical processes on networks. Students throughout the course will learn the basic methods for community detection, robustness evaluation, network optimization, data mining and prediction in networks.