Data Sci II - Machine Learning ((2 Credits))

Catalog description

This course serves as a continuation of Data Science I - Fundamentals ( DSC 141 ). Students will be able to gain knowledge of advanced topics and tools in the field of data science. They will be trained to make better predictions using machine learning. Topics include the use of decision trees, clustering, neural networks, and natural language processing. Students will use their fundamental skills in data science, including a programming language plus statistics and probability for problem solving by combining these two in generating better outcomes in the predictive value of data.