Data Analytics

• 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

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

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.