Go to nashuacc.edu/programs for even more details about this and other NCC programs and certificates.
The Certificate in Data Analytics equips graduates to analyze data and generate actionable insights using both classical and AI-based analytical techniques. The program emphasizes data collection, organization, analysis, and effective communication with data, while also developing complementary skills in artificial intelligence, programming, SQL, and business automation. By learning with industry-standard software, graduates gain practical expertise to solve real-world problems and support data-driven decision-making across business and industry.
Why study Data Analytics here?
Nashua Community College’s data analytics certificate offers students a certificate with college credit bearing and transferable coursework from a fully accredited (NECHE) institution that a non-credit career training program would not provide. Program faculty hold advanced degrees in relevant fields and have extensive hands-on professional experience in the subjects taught.
The certificate can be completed in 30 weeks (two semesters) with a fall or spring semester start. Because the program is 100% online all students -regardless of state residency -are eligible for in state tuition rates. This program is also available to eligible NH high school students in the EStart program available to CCSNH.
Career Options
Data analytics is a flexible career offering many job options using the skillset and can be used in different industries. Careers in data analytics frequently offer work from home and may accommodate nontraditional work schedules and needs of individual workers. Job titles of program graduates may include:
- Data analyst
- Business intelligence analyst
- Administrative/executive assistant
- Market research analyst
- Health data analyst
- Research assistant
Related Programs
- Data Analytics Degree
- Spreadsheets Certificate
- CCSNH Estart program
Upon the completion of the degree in Data Analytics, graduates will be able to:
- Differentiate structured, unstructured, and other data types, including their subtypes, origins, and storage formats.
- Use spreadsheet tools, SQL, programming environments, and AI copilots to automate data tasks, clean and transform datasets, and develop reproducible workflows.
- Apply appropriate analytical methods to interpret data, evaluate patterns and trends, and support informed decision-making in diverse contexts.
- Create and evaluate data presentations using visual, textual, and accessible formats to communicate insights clearly, ethically, and inclusively.
- Build, interpret, and assess AI-driven models for classification, forecasting, optimization, and natural language processing, ensuring accuracy, reliability, and responsible use.
- Integrate data from multiple sources—using SQL, APIs, and AI-supported tools—to support analytic processes.
- Assess ethical issues in data analytics, including bias, transparency, accountability, and the role of human oversight in AI-assisted analysis.
The data analytics certificate program is open admissions and has no prerequisites for students to begin coursework. Students are required to have a computer meeting the technical specifications necessary to run analytical software. Most software packages used in the program are open source, provided by the college or available at nominal cost to students. When possible, freely available open educational resources are utilized in coursework thus minimizing student cost.
- Have command of the English language
- Have reading comprehension skills sufficient to read and comprehend college textbooks
- Have communication skills sufficient to prepare required reports
- Ability to understand and follow written and oral instructions
- Be able to complete requirements for college level classes
- Ability to communicate information and ideas to others.