Data Analytics (AAS)

The Associate in Applied Science (AAS) in Data Analytics is designed to prepare students to apply principles and concepts in data analytics and model, synthesize, analyze, and present large data sets for business decision making.

Courses will focus on the software development techniques and computer applications used in industry to extract data from various data sources, model and integrate that data, and then visualize this data for business decision making and intelligence gathering.

This program prepares students for industry recognized certifications such as the Microsoft Power BI Data Analyst, Tableau Certified Analyst, and Microsoft Office Specialist for Excel and Access.

Graduates may pursue employment in a variety of information technology environments.

Graduates of this program will be able to:

• Apply computer spreadsheet programs to create, store, analyze, modify, print and present electronic spreadsheets.
• Demonstrate the skills needed to create, design, maintain, and use a relational database to gather and analyze data.
• Identify the fundamental characteristics and functions of modern business, including business principles, marketing, labor relations, and business risks through data analysis application.
• Solve probability and statistical applications.
• Interpret outputs obtained from descriptive and inferential statistical techniques for decision making.
• Apply data modeling techniques for data visualization and informed decision making.
• Perform data analysis to answer stakeholder questions using data mining and machine learning models.
• Construct Python programs that solve business problems.
• Communicate to stakeholders with diverse skillsets.
• Apply ethical principles to data handling.