DATA Courses
Opposite each course title are three numbers such as 3-2-4. The first number indicates the number of regular classroom hours for the course each week; the second number indicates the number of laboratory hours per week; and the third number indicates the hours of credit awarded for the successful completion of the course. Listed in parentheses at the end of each course description is the term(s) that the course is normally offered. F=Fall, S=Spring, and M=Summer.
The college reserves the right to cancel or delete any course with insufficient enrollment.
Courses
DATA 1501. Introduction to Data Science. 3-0-3 Units.
This course is intended to provide an introduction into the field of Data Science. Students will develop skills in appropriate technology and basic statistical methods by completing hands-on projects focused on real-world data and addresses the social consequences of data analysis and application.(S)
Prerequisites: Exemption or satisfactory exit from learning support math.
DATA 3355. Data Mining. 3-0-3 Units.
The course provides an introduction to concepts behind data mining, machine learning, text mining and web mining. Topics include data mining techniques such as classification, regression, association rules, cluster analysis, and recommendation systems used for processes of managing, analyzing, exploring and visualizing Big Data.
DATA 3502. Data Architecture. 3-0-3 Units.
This course covers rules, models, policies, and standards that govern the type of data collected and managed within an organization. It emphasizes the tasks of data architects/data managers, i.e., reviewing and analyzing organizational data infrastructure and future databases and the implementation of solutions to store and manage data for organizations and their users.
DATA 3505. Data Management. 3-0-3 Units.
This course covers general principles and concepts in data management and practices with the tools and knowledge for data architects/data managers to manage data effectively. It emphasizes strategies for working with data, organizing research data, and sharing your data securely, and effectively.
DATA 3508. Data-Driven Decision Making. 3-0-3 Units.
This course emphasizes the role of data architects/data managers in using various tools and techniques to collect, analyze, and interpret data for effective decision-making.