DAT 305 - How to Think Like a Data Scientist

3 Credit Hour(s) Laboratory: 0 Recitation: 3 Alternative Mode: 0

Appropriate for students in any major, this course introduces the importance of gathering, cleaning, normalizing, visualizing and analyzing data to drive informed decision-making. Students will learn to use a combination of tools and techniques, including spreadsheets, SQL, and Python using a combination of procedural and basic machine learning algorithms. They will also learn to ask good, exploratory questions and develop metrics to come up with well-thought-out analysis. Classroom time will focus on hands-on, collaborative projects. This course prepares students for additional work and study in data science and machine learning, career areas that are in high demand. (Spring)

Prerequisite(s): CPS 201