Applied Data Analytics with Python

Catalog description

This course covers both theoretical and practical aspects of applied data science, analytics and visualization in Python. The course coverage includes general python programming basics, data structures and algorithm design with heavy emphasis on applying data analysis and visualization techniques to solve real-world problems in different domains. Topics include data representation, manipulation and clearing, visualization, regression, convolutional and recurrent neural networks, reinforcement learning, model development and evaluation with most up-to-date Python modules and popular toolkits. Prerequisites: COSC 2336 .