Data Science

The Data Science Certificate of Achievement equips students with the foundational knowledge, skills, and practical experience to tackle complex, data-driven challenges in today’s digital age. With a focus on programming, statistics, machine learning, big data analytics, and data visualization, students engage in projects and collaborations that prepare them for the data-driven workforce. The program fosters critical thinking, problem-solving, and interdisciplinary collaboration, emphasizing both technical skills and domain-specific knowledge. Ideal for students with a mindset of lifelong learning and ethical responsibility, the program offers a pathway to meaningful careers and further education in the evolving field of data science.

1. Transfer Preparation

Goal: Prepare students for continued education in data science, computer science, statistics, or related fields at four-year institutions.

Objectives:

• Equip students with foundational knowledge in programming, statistics, machine learning, and data management that align with lower-division coursework in university-level programs.
• Foster analytical and problem-solving skills that support success in advanced academic environments.
• Develop communication and collaboration competencies to participate in interdisciplinary academic teams and research projects.

2. Workforce Preparation

Goal: Provide students with industry-relevant skills and experiences for entry-level data science and analytics roles.

Objectives:

• Teach proficiency in programming languages (e.g., Python) and data tools (e.g., SQL, Matplotlib, Seaborn) used in professional settings.
• Enable students to work with real-world datasets, performing data collection, cleaning, analysis, visualization, and reporting.
• Prepare students to apply machine learning techniques for predictive modeling and problem-solving in business and research contexts.
• Cultivate project management skills necessary to define, execute, and complete data-driven projects in a professional environment.
• Promote teamwork and effective communication with technical and non-technical interested-parties.

3. Basic Skills

Goal: Build foundational academic and technical skills essential for success in data science and broader STEM fields.

Objectives:

• Strengthen quantitative reasoning through applied data/statistical analysis.
• Develop digital literacy through hands-on use of coding, databases, and data visualization tools.
• Enhance critical thinking by identifying data problems, formulating hypotheses, and interpreting results.
• Improve written and oral communication through the presentation of data findings and collaborative work.

4. Civic Education and Ethical Responsibility

Goal: Promote ethical, inclusive, and socially responsible data practices that contribute to the public good.

Objectives:

• Educate students on ethical considerations, privacy laws, and data governance, fostering responsible data usage.
• Emphasize the importance of fairness, transparency, and bias reduction in data collection and analysis.
• Encourage students to apply data science methods to address institutional inequities and support informed decision-making in community and civic contexts.
• Foster an awareness of the social impact of data and technology, encouraging lifelong ethical responsibility.

5. Local Purpose and Community Impact

Goal: Align data science education with local workforce needs and community-based problem solving.

Objectives:

• Provide career pathways that respond to the demand for data-literate professionals in local industries such as healthcare, education, government, and business.
• Encourage students to engage in projects that address regional issues through data-informed solutions.
• Support inclusive participation by offering accessible, open-source tools and emphasizing equitable outcomes for diverse communities.

The following courses are required to complete the Data Science Certificate of Achievement, providing students with the essential technical and analytical competencies outlined in the program’s objectives.