This survey course offers an introduction to Data Science, focusing on fundamental concepts and practical applications. Students will explore data types, structures, and sourcing techniques, gaining hands-on experience with data cleaning and transformation. Key topics include data usage rights, privacy laws (U.S. and international), basic data mining, classification, and trending methods. The course briefly covers scientific visualization techniques and tools like Tableau, PowerBI, and Python/R libraries. Ethical issues such as privacy and data bias, as well as an overview of data warehousing, are also addressed. The course prepares students for advanced study in data science. Pre-requisites: Standard admission requirements.