# Data Science Fundamentals (Certificate of Achievement) Laney College · 2026-2027 Catalog · Department: Computer Information Systems Source: https://lan.curriqunet.com/catalog/iq/44166/44231/44180/44301/44308 The Data Science Fundamentals Certificate prepares students for careers as data analyst, data scientist, machine learning engineers, business analyst, computer systems analyst, logistics analyst, marketing analyst, and database managers. The multidisciplinary program provides the analytical, methodological, and programming skills required in data processing, information technology, business, and computing. The certificate will also serve as a foundation for continued education at four-year institutions. **Career Opportunities** Data analyst, data scientist, machine learning engineers, business analyst, computer systems analyst, logistics analyst, marketing analyst, and database managers. **Program Learning Outcomes** Upon completion of this program a student will be able to: 1. Demonstrate the ability to apply statistical analysis of real world data using multiple representations such as graphs, text, or tables, being mindful of concerns around data bias and privacy. 2. Use programming and data analytics tools to make statistical inference on data and data sets using computational techniques. 3. Write computer scripts and programs to organize, produce visualizations, and numerical summaries of data and data sets. | Course | Title | Units | | --- | --- | --- | | **Introduction to Programming:** | | 3-5 | | CIS 6 | Introduction to Computer Programming | 5 | | CIS 61 | Structure and Interpretation of Computer Programs | 5 | | CIS 25 | Object Oriented Programming Using C++ | 4 | | CIS 36A | Java Programming Language I | 4 | | CIS 96F | Introduction to Artificial Intelligence and Machine Learning | 3 | | MATH 116 | Introduction to Computational Thinking with Data | 4 | | or CIS 116 | Introduction to Computational Thinking with Data | 4 | | **Introduction to SQL Programming (4 units):** | | 4 | | CIS 98 | Database Programming with SQL | 4 | | **Relational Databases and Business Applications ( 4 units):** | | 4 | | BUS 43B | Introduction to Microsoft Excel for Business Applications | 4 | | **Foundations in Data Science (4 units):** | | 4 | | MATH 118 | Foundations in Data Science | 4 | | STAT C1000 | Introduction to Statistics | 4 | | **Total Units:** | | 16-17 |