DANL 280 - Fundamentals of Data Science and Analytics

3 Credits

(Fall, Winter, Spring and Summer)
Prerequisite(s): None. This course is a foundation, which will help students gain a deeper understanding into data types and structures, tools, big data sources, data science process (data flow, data curative, and data analytics) as well as the associated ethics and challenges such as availability, reliability/quality, privacy and security. The course also introduces data analytics and students will solve business problems using data analysis applications such as spreadsheets and Tableau. This course will be used to satisfy the general elective requirement.