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.
It is expected to have 50-100 students by Spring 2023.
Program Learning Outcomes:
Upon successful completion of this program, students should be able to:
· Identify, extract, clean and maintain data in databases.
· Interpret and evaluate data trends or patterns in complex data sets using statistical techniques, analytic methods, and tools.
· Create and monitor reports to preserve data quality, identify critical issues, trends, and potential solutions.
Before entering this program, students must complete MAT-35 and MAT-10 or MAT-23 or qualifying placement level in mathematics to be successful in courses in the program.
Item 3. Program Requirements
Required Courses: 30 .units
Course | Title | Units | Sequencing |
---|---|---|---|
CIS-1A | Introduction to Computer Information Systems | 3 | Semester 1 |
MAT-70A/CIS-70A | Foundations of Data Science | 3 | Semester 1 |
CIS/CSC-61 | Introduction to Database Theory | 3 | Semester 1 |
CIS-30AorCSC-8 | Introduction to Python ProgrammingorProgramming Concepts: Python | 3 | Semester 1 |
MAT-70B | Statistics for STEM | 4 | Semester 2 |
MAT-1A | Calculus I | 4 | Semester 2 |
CIS/CSC-63 | Introduction to Structured Query Language | 3 | Semester 2 |
MAT-1B | Calculus II | 4 | Semester 3 |
CIS-30E | Advanced Python Programming | 3 | Semester 3 |
Elective Courses: 3 .units
Course | Title | Units | Sequencing |
---|---|---|---|
CIS-68A or | Introduction to Machine Learning | 3 | Semester 3 |
CIS-68B or | Big Data Fundamentals | 3 | Semester 3 |
CIS/CSC-2 or | Fundamental of System Analysis | 3 | Semester 3 |
CIS/CSC-20 | Systems Analysis and Design | 3 | Semester 3 |
Total Program Units: 33 .units
Diann Thursby · 03/14/22
Received regional recommendation at 3-14-2022 IEDRC Deans Meeting