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Division of Continuing Education

Business Science

The UNF Division of Continuing Education team is invested in every student’s success. Our full commitment is to serving our students with superior education, training, support, and service. We hope we have the chance to prove ourselves to you personally! Browse our business science course.

Questions about enrollment?

Please reach out to us with any questions you might have. We welcome the opportunity to talk through your individual training needs or that of your team. And no, we will not relentlessly hound you with sales calls, we promise! We are a no-pressure, service-oriented team, committed to serving every student with nothing short of 5-star service.

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Data Analytics

Data Analytics Registration

Content Structure

  • 100% online classroom sessions
  • 6 months, 15–20 hours per week
  • Weekly 1:1 video calls
  • Unlimited mentor calls
  • Build study plans that work for you


Learning Outcomes

  • Framing Structured Thinking
  • Analyzing Business Problems
  • Communicating Your Analysis
  • Connecting Data Using SQL
  • Visualizing Data Using Python


Who Should Attend

  • Working professionals seeking to transition into a career in data analytics
  • Professionals who demonstrate an aptitude towards critical thinking and problem solving and have two years of work experience



The field of data analytics is rapidly evolving alongside the massive amount of data churned out from the increasing number of devices connected to the internet. Yet, on average, a whopping 60% to 73% of all data within an enterprise goes unused.

Businesses look to data analysts not only for their technical abilities to pull data and make sense of it, but to communicate effectively and tell a story that can inspire, influence, and drive business decisions — from the movie recommendations in your Netflix queue to the groceries you buy online from Amazon’s Whole Foods Market.

The University of North Florida’s Data Analytics Bootcamp offers a robust curriculum that can put you in the driver’s seat of your data career. We ensure that you not only gain all of the technical and analytical skillsneeded to excel in the field but also develop the strategic mindset that will push companies to adopt your analysis and grow their business.

You’ll learn key analytics and visualization tools like Excel, SQL, Python, Microsoft Power BI, Tableau, and more while also completing 20+ hands-on mini-projects designed to reinforce your learning through tangible outcomes. To help you pack a powerful punch to your portfolio, you’ll work on a Capstone project, bringing all of the skills you learned to the forefront in a centerpiece presentation that you can use to showcase prospective employers.

You’ll also get 1:1 weekly support from mentors working in the field of data analytics, a student advisor who can keep you accountable, and access to career units that will cover how to conduct a thorough job search with access to 1:1 coaching.

View a preview of the data analytics course below and what types of careers you can excel in after you complete the course.

  • What does a data analyst do?

    Data analysts make sense of data and numbers with a variety of tools at their disposal, including SQL, Python, and PowerBI. Their goal is to help businesses make better decisions and drive toward innovation, growth, and operational efficiency.

    They are responsible for mining data, cleaning data, and analyzing and interpreting data to spot trends and identify areas of opportunity and improvement for any number of business problems.

  • What skills are needed to work in data analytics?

    Data analysts are deep critical thinkers with a penchant for investigative work. They mix curiosity and creativity with logical and rational thought processes.

    They must also be able to read and interpret statistical data, understand linear algebra and calculus, data visualization, and have a familiarity with programming languages like Python and working with databases like SQL.

    Most importantly, data analysts must be excellent communicators in order to translate their key findings into powerful presentations.

  • What type of jobs can you do after a data analytics bootcamp?

    The Careers section above explores possible job titles and salaries. Additional job titles as you progress in your career include:

    • Business Intelligence Analyst
    • Competitive Intelligence Analyst
    • Intelligence Analyst
    • Market Intelligence Consultant
    • Strategic Business and Technology Intelligence Consultant
    • Strategist
  • How long does it take to become a data analyst?

    Depending on what path you choose to take, it typically takes anywhere from a few months to a few years. Our bootcamp is designed for you to complete in 6 months through real-world projects. You just won’t learn theory but how to solve business problems in a hands-on manner.

  • What is the salary of a data analyst?

    Depending on your work history, background, job title, and what type of sector you work in, the salary can differ, especially as you reach a higher seniority level. The average salary for a data analyst in the U.S., according to Glassdoor, is $69,517.

  • Are data analysts in high demand?

    Yes! Given the massive amounts of data we are generating every year—44 zettabytes and counting—and the number of devices connected to the internet only growing, executive leaders need highly trained critical thinkers to follow the trends and extrapolate meaning and insights to move their businesses forward.

  • Is a data analytics bootcamp worth it?

    Yes! With UNF’s 100% online learning program, you’ll learn all the skills you need to succeed in a data analytics course in 6 months’ time through hands-on projects, mentorship, and a support system ready to champion your successes and lift you to the next level in your career.

Data Science

In this 100% online program, you study remotely on your own terms with the help of an expert mentor, student advisor, and career coach—all of whom are invested in your success. Learn the Data Science Method, choose from one of three specializations, and build a portfolio-worthy capstone project.

Employers need to harness the power of data analytics to personalize their products, minimize risk, and expand into new markets.



Content Structure

  • 100% online classroom sessions
  • 6 months, 15-20 hours per week
  • Weekly 1:1 video calls
  • Unlimited mentor calls
  • Build study plans that work for you



Learning Outcomes

  • Python Data Stack
  • Data Wrangling
  • The Data Story
  • Statistical Inference
  • Machine Learning



Who Should Attend

  • Working professionals seeking to transition into a career in data science
  • Anyone with prior experience in statistics and programming
  • Software developers, analysts, and finance professionals



*The Bootcamps featured on this website, in partnership with Springboard, are neither taught by UNF faculty nor affiliated with UNF's College of Computing.