DATA 2103 - Data Science I

This course provides the framework for solving real-world problems and decision-making through a data-driven approach. A practical focus on planning data collection efforts and pre-analysis processing is discussed along with descriptive analysis methods and subsequent interpretation. Additional fundamental topics include data types, data storage structure, data visualization techniques and data presentation integrity issues. Class 3. Prerequisite(s): MATH 2003, MATH 1423/3403 and one of the three: MATH 1903, MATH 1603, MATH 1503.