Units: 3
Prerequisites: Knowledge, skills, and abilities at the intermediate algebra level as determined by the math placement process.
Advisory: CSIT 110, CSIT 120, or CSIT 128
Acceptable for Credit: CSU, UC
Lecture 3 hours.
Course Typically Offered: Fall, Spring

This course introduces students to data science through the operational lens of AI-driven data analytics tools, AI programming languages, and advanced statistical modeling techniques. It focuses on the nexus of the data science field and advanced AI-driven data analysis. The data-first mindset promotes knowledge and understanding through the use of advanced visualization tools, statistical tools, and statistical programming languages to derive actionable information from various data sources to solve complex business, information systems, and analysis challenges. Students access and evaluate complex data sets using data inference techniques formulated through the use of qualitative analysis and statistical applications. The course emphasizes visual analysis tools, such as the use of graphs, charts, and computerized spreadsheets. Students gain an understanding of the widespread use of data analytics and how this sophisticated technique that combines mathematical principles and technology affects their everyday lives.