Data Management and Analytics
DATA MANAGEMENT / ANALYTICS
Data Management and Analytics (DATA) is a forward-thinking, interdisciplinary program that allows students to get an entry level job in the area of data management and analytics. The Data Management and Analytics program focuses on providing students with the skills to empower ethical data-informed decision-making in business contexts. The DATA degree consists of the theory, technology, and practical skills necessary for data collection, transmission, analysis, and utilization. DATA focuses on four broad areas:
- Ethical data-informed decision-making in business contexts.
- Effective communication of data insights to diverse stakeholders.
- Essential skills in project management to navigate the analytics project lifecycle.
- Hands-on experience in modern technologies that support data storage, data preparation, data analysis, and the reporting of data.
Content includes data literacy fundamentals; data preparation; project management for analytics; descriptive analysis; Structured Query Language (SQL); data privacy; data security; data ethics; data visualization; data storytelling; Python programming for analytics; relational databases; data engineering; business dashboards; machine learning; and predictive analytics. Students will learn the role of data in AI as well as how, when, and why Generative AI solutions can be used as a tool in analytics and what to look out for with GenAI results. The DATA program prepares students for today’s digital landscape by staying current with disruptive technologies and fostering a growth mindset along with learning essential technology skills.
Upon completion of SVC’s Data Management and Analytics program, students will be able to:
- Efficiently store and retrieve data in a relational database using a relational database management system (RDBMS) and Structured Query Language (SQL).
- Prepare quality datasets through data extraction, data ingestion, data cleaning, and data transformation.
- Communicate data insights to diverse stakeholders using visual representations.
- Apply descriptive and predictive analytics techniques on complex datasets to empower ethical and informed decision-making in business contexts.
Degree
Data Management and Analytics, AAS
90 credits | Online
Prepare for entry-level roles in the fast-growing field of data science and analytics. This 2-year program teaches you how to collect, analyze, and communicate data using modern tools and cloud-based systems. Gain hands-on experience in database development, business intelligence, and data ethics while building communication and leadership skills. Graduates are job-ready or can continue into SVC’s BAS degrees.