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Data Analytics

Turn Data into Information, and Information into Insight.
Earn a degree or a lower division certificate in one of the fastest growing job sectors for the next decade! According to the U.S. Bureau of Labor Statistics, Employment in the field of data analytics is projected to grow 25 percent from 2020 to 2030, much faster than the average for all occupations. About 10,200 openings for operations research analysts are projected each year, on average, over the decade.
Questions?
Program Director
301-784-5434
Location: TECHNOLOGY BUILDING (T) 221

 

What will you learn?
  • Develop, implement, and maintain databases on an ongoing basis.
  • Collect and organize raw data from internal & external sources 
  • Clean the raw data and prime it for analysis
  • Interpret your findings, turn them into visualizations (such as graphs and charts), share them with key stakeholders, and advise on strategies and actions for the future.
  • Explore theories and best practices related to programming, data in the cloud, machine learning, and data warehousing
What will you do?

Data analysts are involved in all aspects of an organization. They help managers decide how to allocate resources, develop production schedules, manage the supply chain, and set prices. For example, they may help decide how to organize products in supermarkets or help companies figure out the most effective way to ship and distribute products.

Data analysts typically do the following:

  • Identify and solve problems in virtually every industry sector! From business, to logistics, and healthcare, to hospitality; every industry benefits from the work of a data analyst.
  • Collect and organize information from a variety of sources, such as computer databases, sales histories, and customer feedback as well as gather input from workers involved in all aspects of a problem.
  • Organize the data into visual elements like charts, graphs, and maps, through the use of data visualization tools to provide an accessible way to see and understand trends, outliers, and patterns in data.
  • Use statistical analysis, simulations, predictive modeling, or other methods to analyze information and develop practical solutions to business problems
  • Advise managers and other decision makers on the effects of various courses of action to take in order to address a problem

Program Details

Data analysts analyze raw data in order to draw out meaningful insights. They then turn these insights into actionable recommendations, enabling the company they work for to make smarter business decisions. The role of the data analyst relies heavily on statistical analysis, problem-solving, and communication, so you’ll need to be comfortable with each of these elements.

We offer both a Lower Division Certificate (30 credits) and an Associate’s of Applied Science (60 credits) in Data Analytics.

The Lower Division Certificate is a great opportunity for career changers or students pursuing an Associate’s in a related field who would like additional training in Data Analytics to enhance their resume.

The Associate’s degree will enable students to seek employment in data analytics as students will learn and practice a broad set of skills in programming, data analytics, graphics, and visualization. In addition, students in this program will be able to create data models and data warehouses, develop and use various digital graphics techniques and data visualization methods and use various statistical and predictive/applied applications and methods.

Data analytics and visualization skills are in high demand in today's global market. This lower division certificate and Associates’ degree will help a student build the necessary skills to entering one of the fastest growing job sectors for the next decade.


Program Goals & Learning Outcomes
Program Goals
  • Use analytic methods and techniques to drive effective, data-driven solutions to business problems and decisions.
  • Use information systems and technologies to drive effective, data-driven solutions to business problems and decisions.
Learning Outcomes
  • Solve business problems and make business decisions with information systems and analytics tools and technologies.
  • Effectively communicate the results of analytic solutions to business.

Meet the Faculty

Our experienced, knowledgeable faculty and staff are excited to share their expertise with you and prepare you to succeed in the high demand field of data analytics.

Scott Harrah 
Executive Director of Institutional Effectiveness, Research, and Planning

301-784-5207
College Center 40

B.S., B.A., Frostburg State University
MPA, University of Pittsburgh

Dr. Devon Merrill 
Associate Professor

301-784-5042
Technology 228

B.S., M.S., Ph.D., UC San Diego

Sarah Sagal 
Coordinator of Academic Assessment

301-784-5210
College Center 40

B.A., MBA,

Richard Soderman 
Assistant Professor

301-784-5330
Technology 224

B.S., University of Rochester, NY
M.S., University of Vermont

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