Data Science – AS/Certificate of Achievement

The Data Science certificate is designed to provide practical literacy of the computational, statistical, and empirical methods and tools used by data scientists at all levels. The certificate 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 certificate is intended for students and working adults who want to learn more about data science. Students who complete the data science certificate 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, 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 certificate will be helpful 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 is awarded upon completion of all required courses with a grade of C or better.

Projected annual completers 45

The Student Learning Outcomes for the program are as follows:

Upon successful completion of this program, students should be able to:

1. Analyze, extract, clean and maintain data in databases.

2. Interpret and evaluate data trends, qualitative research, or patterns in complex data sets using statistical techniques, analytic methods, and tools.

3. Create and monitor reports to preserve data quality, identify critical issues, ethical issue , trends in diversity and social justice, and potential solutions.

4. Acquire knowledge of how to apply Python and Java, dashboards, and other tools to data science in the areas of analysis and communicating data representation .

5. Obtain huge data sets, process them, and analyze them utilizing techniques for data exploration, pattern identification, forecasting, and addressing business issues.

6. Build teamwork and leadership through collaboration in projects such as research for data, creating visualization, and machine learning

The Data Science certificate is designed to provide practical literacy of the computational, statistical, and empirical methods and tools data scientists use at all levels. The certificate 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 certificate is intended for students and working adults who want to learn more about data science. Students who complete the data science certificate 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, 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 certificate will be helpful 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.

Course	Title	Units	Year/Semester (Y1 or S1)
Required Core (7 units)			Y1/S1
CS 031	Introduction to Data Science	4
CIS 031	introduction to database management systems	4
One course (4 units)			Y1/S2
STAT 015	Statistics for Business and Economics	4
STAT 018	Statistics For Behavioral and Social Sciences	4
STAT 050 OR	Elementary Statistics	4
STAT 050H	Honors Elementary Statistics	4
One course (4 units)			Y1/S2
CS 003C	Fundamentals Of Computer Science (Python)	4
CS 003B	Fundamentals Of Computer Science (Java)	4
CS 002	Fundamentals Of Computer Science I	4
One course (3 units)			Y2/S1
CS 034	Advanced Python Programming and Basic Data Structures	3
CS 033	Advanced Java Programming and Algorithm with Data Structures	3
Recommended Elective CS 137	R Programming for Data Science	3	Y2/S1

Computer Science /Data Science

El Camino College - Foundation of Data Science Moorpark College - Data Science, Certificate of Achievement Mt. San Antonio College - Big Data Certifiacte

45

This program is not a modification