Data Analytics Certificate of Achievement provides students with a foundation in data analysis, in which students will model, synthesize, and present large data sets for business decision making. Courses will focus on the techniques and tools to extract data from various data sources, model, integrate data, and visualize data for organizational decision making and intelligence gathering. The program prepares students for entry-level jobs, or to help them advance into careers, such as Operation Data Analyst, Business Analytics Specialist, System Data Analyst, Data Visualization Developer, Test Data Analyst, and Market Research Analyst. Topics covered will include statistics, research methods, SQL queries, systems analysis, design, and applied predictive analytics.
Upon successful completion of this program, students should be able to:
This program is expected to have 50 to 100 students by Spring 2024.
Data Analytics program addresses industry’s continuing demands for professionals to test and build tools to meet the data quality validation needs for a cloud platform-based application and building enterprise analytics of large data volume. Based on Inland Empire/Desert region Labor Market Information report, the data-analysis occupation is projected to have 189 annual job openings, increasing employment by 8% through 2024. The 10th percentile hourly wage for data analysis related occupations exceeds the Family Needs Calculator self-sustainability rate, indicating that approximately the top 90% of workers in this occupation earn self-sufficient hourly wages. The courses in this program will develop skills for entry level positions in Big Data or Data Analytics.
Upon entering this program, student must completed MAT – 10 or MAT – 23 or qualifying placement level in mathematics in order to be successful in mathematics and analysis courses in the program.
Required Courses: 30 Units
Course | Title | Units | Year/Semester (Y1 or S1) |
---|---|---|---|
CIS- 1A | Introduction to Computer Information Systems | 3 | S1 |
MAT 70A/CIS 70A | Foundations of Data Science | 3 | S1 |
CIS/CSC 61 | Introduction to Database Theory | 3 | S1 |
CIS 30A or CSC 8 | Introduction to Python Programming or Programming Concepts: Python | 3 | S1 |
MAT 70B | Statistics for STEM | 4 | S2 |
MAT 1A | Calculus I | 4 | S2 |
CIS/CSC 63 | Introduction to Structured Query Language | 3 | S2 |
MAT 1B | Calculus II | 4 | S3 |
CIS 30E | Advanced Python Programming | 3 | S3 |
Elective Courses: 3 Units
Elective Courses | Title | Units | Year/Semester |
---|---|---|---|
CIS 68A or | Introduction to Machine Learning | 3 | S3 |
CIS 68B or | Big Data Fundamentals | 3 | S3 |
CIS/CSC 2or | Fundamental of System Analysis | 3 | S3 |
CIS/CSC 20 | Systems Analysis and Design | 3 | S3 |
Total Program Units: 33 Units
Diann Thursby · 10/03/22
Received regional recommendation at 10-3-2022 IEDRC Deans Meeting.