Transfers ToCSUDescription54 hours lecture per term. This course is an introductory business course designed to give an understanding of the complete analytics cycle. From determining requirements to extracting and disseminating information, this course will cover the process, technologies, applications, tools, and skills required to analyze data so that informed and timely decisions can be made. Students will learn the methodologies, techniques, and tools most commonly used in data analytics. Other topics include methods and tools for visualization, inference, forecasting, optimization, simulation, and data mining. Tools will include Excel, Qualtrics Survey Software and Tableau. (Degree Credit) (CSU) 