The Certificate in Data Analytics provides students with the skills and knowledge needed for employment in the rapidly emerging field of data analytics, which comprises analyzing and interpreting the datasets now available in a wide range of organizations and industries. Modern data analytics brings together tools and techniques from business, communication,information system & information technology to collect, interpret and represent datasets to illustrate concepts and inform decisions. This program is intended to help students develop skills to perform data manipulation, data analysis, data visualization and data reporting.
Upon completion of the program,students will be able to demonstrate the following Student Learning Outcomes (SLOs):
SLO #1 Apply data analytics knowledge and skills to solve problems in real-world contexts.
SLO#2 Develop skills to perform data manipulation,data analysis, data visualization and data reporting.
SLO#3 Communicate effectively the solutions and decisions based on available static or dynamic data.
Enrollment
Courses | 2023-2024 | 2024-2025 | 2025-2026 |
---|---|---|---|
CIS 112 | 25 | 28 | 30 |
CIS 105 | 25 | 28 | 30 |
CIS 124 | 20 | 23 | 25 |
CIS 192 | 23 | 25 | 30 |
CIS 219 | 23 | 25 | 28 |
CS 159 | 20 | 23 | 25 |
Academic Year | Projected Cohort Enrollments | Completion Rate | Total Students Completing |
---|---|---|---|
2023-2024 | 25 | 70% | 18 |
2024-2025 | 28 | 72% | 20 |
2025-2026 | 30 | 75% | 22 |
The Certificate in Data Analytics provides students with the skills and knowledge needed for employment in the rapidly emerging field of data analytics, which comprises analyzing and interpreting the datasets now available in a wide range of organizations and industries. Modern data analytics brings together tools and techniques from business, communication,information system & information technology to collect, interpret and represent datasets to illustrate concepts and inform decisions. This program is intended to help students develop skills to perform data manipulation, data analysis, data visualization and data reporting.
The major requirements are planned in sequence. Satisfactory completion of all courses with a grade of“C” or better in a given semester is required before the student may continue to the second semester.
Course | Title | Units | Year/Semester (Y1 or S1) |
---|---|---|---|
CIS 112 | Operating Systems- Beginning Linux | 3 | Y1/S1 |
CIS 105 | Intro to Data Analytics Techniques and Tools | 3 | Y1/S1 |
CIS 124 | Data Analytics (Advanced Excel and Access) | 3 | Y1/S1 |
CIS 192 | Introduction to Cloud Computing | 3 | Y1/S2 |
CIS 219 | Introduction to Oracle: SQL and PL/SQL | 3 | Y1/S2 |
CS 159 | Foundation of Data Science | 3 | Y1/S2 |
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