Data Analytics
Data Analytics Certificate of Achievement provides students with a foundation in data analysis, in which students will model, synthesize, and present large data sets for business decision making. Courses will focus on the techniques and tools to extract data from various data sources, model, integrate data, and visualize data for organizational decision making and intelligence gathering. The program prepares students for entry-level jobs, or to help them advance into careers, such as Operation Data Analyst, Business Analytics Specialist, System Data Analyst, Data Visualization Developer, Test Data Analyst, and Market Research Analyst. Topics covered will include statistics, research methods, SQL queries, systems analysis, design, and applied predictive analytics.
Program Learning Outcomes
Upon Successful Completion of this program, students should be able to:
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Identify, extract, clean and maintain data in databases.
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Interpret and evaluate data trends or patterns in complex data sets using statistical techniques, analytic methods, and tools.
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Create and monitor reports to preserve data quality, identify critical issues, trends, and potential solutions.
Required Courses (30 units) | Units | |
CIS-1A | Introduction to Computer Information Systems | 3 |
CIS-30A Or CSC-8 |
Introduction to Python Programming |
3 Or 3 |
CIS-30E | Advanced Python Programming | 3 |
CIS/CSC-61 | Introduction to Database Theory | 3 |
CIS/CSC-63 |
Introduction to Structured Query Language (SQL) |
3 |
CIS/MAT-70A | Foundations of Data Science | 3 |
MAT-1A/H | Calculus I / Honors Calculus I | 4 |
MAT-1B | Calculus II | 4 |
MAT-70B | Statistics for STEM | 4 |
Elective Courses (3 units) | Units | |
CIS-68A | Introduction to Machine Learning | 3 |
CIS-68B | Big Data Fundamentals | 3 |
CIS-2/CSC-2 | Fundamentals of Systems Analysis | 3 |
CIS/CSC-20 | Systems Analysis and Design | 3 |
This certificate may lead to employment competency but does not lead to an Associate degree.