Data Analytics

Are you interested in analyzing raw data for insights and trends with the goal of discovering useful information?
 

The Career Field

Data Analyst collects, cleans, and interprets data sets in order to answer a question or solve a problem. They can work in many industries, including business, finance, criminal justice, science, medicine, and government. Companies in nearly every industry benefit from the work of data analysts. The insights that data analysts bring to an organization can be valuable to employers who want to know more about the needs of their consumer or end user. Regardless of which industry they work in, data analysts can expect to spend their time developing systems for collecting data and compiling their findings into reports that can help improve their company. Analysts can be involved in any part of the analysis process. In a data analyst role, you could be included in everything from setting up an analytics system to providing insights based on the data you collect—you may even be asked to train others in your data-collection system.

Employment of Data Analysts are projected to grow 32 percent from 2020-2030.

The Program

Students in our Data Analytics program will learn the fundamentals of data science, its currency in the job market, and its applicability to everyday life through hands-on projects with real- world datasets. Students will learn about the reasons why data is collected and the questions data analytics is used to answer. Students will be introduced to various ways of collecting data and the effect that data collection has on the interpretation of the patterns they discover. Students will learn methods to ensure that their data is accurate and reliable and will use various analytics and display tools to understand the data they have collected. Students will be introduced to fundamental mathematical and statistical models to analyze and predict future results. This is a 4-year full-day New York State Education Career and Technical Education endorsed program.

In this program, you will

• Learn core statistical concepts and apply them to analyze both quantitative and qualitative data.
• Utilize various computer applications such as Excel, programming languages like Python, R, SQL, C, C++, Scala, and Java and various visualization and dashboard platforms such as Tableau and Power BI.
• Develop critical thinking and leadership skills as they collaborate effectively with a team to identify, analyze and present data.
• Students will develop clear and accurate communication skills, and an awareness of issues around diversity, data ethics, and social responsibility.
• Obtain relationships and mentorships with predominant leaders in the field.
• Accrue on-campus and concurrent higher education enrollment credits.