Data Analytics

The Associate ofScience in Data Analytics program is designed to provide students with a strongfoundation in data analysis, statistics, programming, and data visualization.Students will learn how to collect, clean, analyze, and interpret data to support decision-making processes in various industries. The program emphasizeshands-on experience with data analytics tools and technologies, preparingstudents for entry-level positions in data analysis and related fields or forfurther study in a bachelor's degree program.

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The program goal for Data Analytics is to train students in BIG data, write SQL queries, andaggregate large amounts of data. Another program goal is to create tables andmerge multiple tables. The student will extensively use Pandas and the Jupyter Notebookas the platform.

Upon successful completion of the program,graduates will be able to:

• Demonstrate proficiency in collecting, cleaning, analyzing, and interpreting data using statistical techniques and software tools.
• Apply programming languages commonly used in data analytics, such as Python, R, or SQL, to manipulate and analyze data effectively.
• Communicate data insights and trends clearly to non-technical stakeholders through effective data visualization techniques.

• Foundations of Data Analysis: Students delve into the fundamental principles of data analysis, covering statistical methodologies, data mining techniques, and exploratory data analysis to extract meaningful patterns and trends from raw datasets.
• Programming and Tools: The program equips students with proficiency in programming languages such as Python, R, and SQL, as well as familiarity with data analytics tools and platforms like Tableau, Power BI, and SAS, enabling them to manipulate, clean, and visualize data effectively.
• Data Visualization and Interpretation: Students learn the art of data storytelling through visualization techniques, transforming complex datasets into compelling visual narratives that facilitate understanding and decision-making for stakeholders.

Course	Title	Units	Year/Semester (Y1 or S1)
CMPR112	Java Prgramming	3	Y1
CMPR114	Python Programming	3	Y1
CMPR115	Python for Data Analytics	3	Y1
CMPR167	Microsoft Access	3	Y1
CMPR113	Advanced Java	3	S1
CMPR159	Intro to Machine Learning	3	S1
CMPR168	Microsoft Access	3	S1
CMPR169	SQL	3	S1
CMPR247	Windows Server Operating Systems	3	S1
Math219	Statistics and Probability	4	S1

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Similar programs exist at Pasadena City College, Fresno City College, Foothill College, Mt San Antonio College, Palomar College, Cypress College, and Fullerton College.

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