Introduction to Data Science

Catalog description

The course provides students with a survey of both theoretical and practical aspects in the field of data science. Course topics include an overview of the data science field, data manipulation and flow, artificial intelligence and machine learning, testing, sorting, preparing and cleaning data sets, and cross-validation. Students will develop skills in relevant programming and scripting languages such as R and be able to make inferences using results from data summaries. Course fee.