Data Literacy

Catalog description

Course delivers an overview of logical constructs and various data analysis skills for real-life problem-solving and decision-making. Topics include: statistical measures, hypothesis testing, correlation, regression, arguments, truth tables, control structures and systems of equations and inequalities. Formulating and estimating reasonable solutions to real-world problems using technology is integrated throughout the course.