This certificate will provide an introduction to data science and technical computing skills. Students will learn the basics of working in a Unix or Linux environment, basic programming techniques using Perl or Python, database fundamentals including SQL, data visualization techniques, and statistics.
Learning Outcomes
Upon completion of this program, students will be able to:
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Occupational: preparation for entry-level employment as statistical assistants, scientific research assistants, software developers working with data, and related fields. This certificate is best paired with other educational credentials such as a Bachelor's Degree in a scientific field, in which the student wants to manipulate data programmatically.
Course | Title | Units | Year/Semester (Y1 or S1) |
---|---|---|---|
CS 160A | Introduction to Unix/Linux | 2 | S1 |
CS 256 | Data Visualization | 3 | S2 |
CS 131A or CS 113A | Python Programming OR Perl Programming | 4 | S1 |
MATH 80 or ECON 5 or PSYC 5 or LALS 5 | Probability and Statistics OR Introductory Statistics for Economics, Business and Social Sciences OR Statistics for Behavioral Sciences OR Introduction to Statistical Methods in Latin American and Latino/a Studies | 5 | S1 |
CS 150A or CS 151A or CS 155A | Introduction to SQL Databases and NoSQL OR Oracle SQL Databases OR MySQL Datatabases | 3 | S1 |
The courses above cover the basics of working in a Unix or Linux environment, basic programming techniques using Perl or Python, database fundamentals including SQL, data visualization techniques, and statistics.
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