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0702.00The Data Science program is designed to provide practical literacy of the computational, statistical, and empirical methods and tools used by data scientists at all levels. The program addresses key areas of knowledge in data science, including data development and management; machine learning and natural language processing; statistical analysis and data visualization. Students will utilize computing technologies for big data applications.
This program is intended for both students and working adults who want to learn more about data science. Students who complete the data science program will be ready to model, synthesize, and apply computational and statistical techniques to interpret a variety of datasets. The emphasis of the courses will be on writing code, using libraries, and scripts and analytical methods and applying the knowledge and skills to create workflows that facilitate the process of data collection, transformation, analysis, visualization, and interpretation.
The Data Science program will be useful for a range of professionals in many fields, including computer and information technology, business management, financial operations, law, architecture and construction, engineering, health and medicine, and the environmental, life, physical, and social sciences.
A Certificate of Achievement will be awarded upon successful completion of all required courses with a grade of C or better.
Program Outcomes
- Use the theory of demand and supply to explain market equilibrium and the effects of government interventions.
- Demonstrate the theory of consumer behavior to derive the demand curve.
- Identify, analyze and evaluate fiscal and monetary theory and policy.
- Compare the outcomes of different market structures and discuss the effects of government intervention.
- Apply the theory of comparative advantage to evaluate gains from international trade and effects of government intervention.
| Code | Title | Units |
|---|---|---|
| CORE COURSES | ||
| CS 031 | INTRODUCTION TO DATA SCIENCE | 4 |
| CIS 031 | INTRODUCTION TO DATABASE MANAGEMENT SYSTEMS | 3 |
| STATISTICS | ||
| STAT 015 | STATISTICS FOR BUSINESS AND ECONOMICS | 4 |
| or STAT 018 | STATISTICS FOR BEHAVIORAL AND SOCIAL SCIENCES | |
| or STAT C1000 | INTRODUCTION TO STATISTICS | |
| or STAT C1000H | INTRODUCTION TO STATISTICS - HONORS | |
| PROGRAMMING - Select one programming language course with lab | 4 | |
| FUNDAMENTALS OF COMPUTER SCIENCE I | ||
| FUNDAMENTALS OF COMPUTER SCIENCE (JAVA) and FUNDAMENTALS OF COMPUTER SCIENCE (JAVA) LAB | ||
| FUNDAMENTALS OF COMPUTER SCIENCE (PYTHON) and FUNDAMENTALS OF COMPUTER SCIENCE (PYTHON) LAB | ||
| ADVANCED PROGRAMMING - Select one course | 3 | |
| ADVANCED JAVA PROGRAMMING AND ALGORITHM WITH DATA STRUCTURES | ||
or CS 034 | ADVANCED PYTHON PROGRAMMING AND BASIC DATA STRUCTURES | |
| Total Units | 18 | |
Recommended Preparation
| Code | Title | Units |
|---|---|---|
| CS 137 | R PROGRAMMING FOR DATA SCIENCE | 2 |
General Education Requirements for the Associate in Science Degree
- General Information
- PCC Local Gen Ed
- Students who have previously been awarded a bachelor‛s degree or higher from a U.S. institutionally accredited institution shall be deemed to have fulfilled the general education and elective course requirements for the Associate in Science degree.
- Cal-GETC
- Students with rights to the former general education patterns can complete IGETC or CSU GE in lieu of Cal-GETC. Students should consult with an Academic Counselor to determine which general education pattern to complete and may refer to an appropriate archived College Catalog or www.assist.org for more information.