Visual Analytics

Course description:
Introduction to data and information visualization. Data visualization design process and models – Visual problem solving. Visualizing patterns over time, visualizing proportions, visualizing graphs and networks, visualizing geographical data on maps. Interactive visualization techniques. Visualization systems and techniques for Big Data and AI. Lab hours with JS (D3, ChartJS, HighCharts), Python (Matplotlib, Plotly), R (ggplot2).

Course coordinator: Dr. George Papastefanatos