This certificate provides students with the opportunity to gain a solid understanding of the core concepts and principles of data science, including data acquisition, manipulation, visualization, statistical analysis, and machine learning. The courses focus on practical skills using industry-standard tools and programming languages to explore and visualize data to uncover patterns, trends, and anomalies that drive informed decision-making. The program is designed to prepare students for entry-level jobs, or to help them advance into careers, such as Associate Data Scientist, Junior Data Scientist, Modeling and Simulation Specialist, Modeling and Simulation Analyst, Big Data Analyst, and Senior Data Analyst.
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The certificate program goal is Career Technical Education (CTE) with emphasis on careers in the field of computer information systems. The program is not selective and does not have any mandatory fees.
Program completers are anticipated to acquire competencies in the areas of data science, including data acquisition, manipulation, visualization, statistical analysis, and machine learning.
The required core courses may be taken in any order, but it is recommended that students take these courses in the order listed below.
Course | Title | Units | Year/Semester (Y1 or S1) |
---|---|---|---|
MATH C160 | Introduction to Statistics | 4 | Yr 1 Sem 1 |
MATH C140 | Business Calculus | 4 | |
MATH C150 | Finite Mathematics with Applications | 4 | |
MATH C180 | Calculus 1 | 5 | |
ICS C123 | Fundamental Data Structures | 3 | Yr 1 Sem 1 |
CIS C157 | Introduction to Python Programming | 3 | Yr 1 Sem 2 |
CIS C240 | SQL Database Development | 3 | Yr 1 Sem 2 |
CIS C250 | Introduction to Data Analytics | 3 | Yr 2 Sem 3 |
CIS C270 | Predictive Analytics | 3 | Yr 2 Sem 3 |
CIS C280 | Data Visualization | 3 | Yr 2 Sem 4 |
CIS C290 | Data Science and Machine Learning | 3 | Yr 2 Sem 4 |
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