Advanced Data Science

Catalog description

This course covers some advanced topics in data science, including recent tools for performing predictive analytics, data visualization, data wrangling, statistical inference, deep machine learning, and software engineering. Various software packages, including TensorFlow, will be used to build predictive models. Whenever appropriate, the mathematical background of predictive models will be covered. Also, one of the main goals is to introduce students to the most important aspects of data science by reinforcing writing efficient code, testing, and debugging while working with large software systems. The course includes several programming projects in Python and/or R.