Python’s data visualization libraries like Matplotlib and Seaborn turn raw numbers into compelling, easy-to-read visuals. With the right techniques, you can reveal trends, patterns, and relationships ...

NumPy is the backbone of Python’s data science stack, offering lightning-fast array operations, rich statistical functions, and powerful optimization techniques. By mastering vectorization, ...

Abstract: Graph convolutional networks (GCNs) can quickly and accurately learn graph representations and have shown powerful performance in many graph learning domains. Despite their effectiveness, ...

Abstract: Graph Neural Networks (GNNs) have gained momentum in graph representation learning and boosted the state of the art in a variety of areas, such as data mining (e.g., social network analysis ...

Focused on practical applications of technology in business, the course covers computational thinking, programming languages, internet technologies, web development, and cloud computing.