INFSCI 1040 - INTRODUCTION TO DATA ANALYTICS

Minimum Credits: 3
Maximum Credits: 3
The ability to collect, store and process large amounts of detailed data in a variety of fields has led to a surge in the use of data in various decision-making tasks, ranging from governmental policy-making to drafting players in sports. Data literacy is thus important and in this first introductory course, we will focus on shifting the traditional mode of deterministic (yes/no) thinking to probabilistic thinking. We will see concepts from applied probability and statistics, while we will also explore a variety of data analysis methods including linear regression, matrix factorization, and network analysis.
Academic Career: Undergraduate
Course Component: Lecture
Grade Component: LG/SNC Elective Basis
Course Requirements: PREQ: INFSCI 0019

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