Introduction to Data Science

Catalog description

This course introduces the concepts of data science. The course teaches students the crossdisciplinary basis of data science, and the data science process. Additionally the course covers data visualization, data wrangling, ethics of designing and conducting data analysis and research, bias in research, data privacy issues surrounding the use of data, and, research reproducibility. Students will learn about statistical learning methods, and then move on to more advanced topics including: database queries, working with spatial data, text mining, networks and big data. The course also emphasizes writing technical reports and presenting results. The course also prepares students for further study in data mining, machine learning, and artificial intelligence. Restrictions/Requirements: Prior Python Programming Experience.