DTSC 5709 - Data Visualization: Concepts and Implementation

3 hours

Provides an in-depth examination of data visualization techniques, critical for analyzing large and complex datasets, including big data. Addresses various data modalities such as networks, high-dimensional point clouds, multivariate functions, and heterogeneous personal data. The curriculum emphasizes the use of Python libraries (e.g., Matplotlib, Seaborn, Plotly) and introduces industry-standard tools (e.g., Tableau and Power BI). Students engage in a data-driven approach to develop and design effective visualizations, apply statistical methods for graphical evaluation, and implement these techniques in applied data analysis projects.