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Why choose a data analytics bootcamp?

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 skills needed 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.


The possible career paths you can choose, ranging from the more straightforward — Data Analyst — to the not so obvious.

Data Analyst: $65,226 per year

Skills needed: strong SQL skills, Python, Excel, Power BI, Looker, PowerPoint. Ability to analyze business problems and creating efficiencies.
Job responsibilities

  • Conducting full lifecycle analysis to include requirements, activities, and design.

  • Develop analysis, visualizations, and reporting capabilities (reports and dashboards).

Salary source: Indeed

Business Analyst: $90,340 per year

Skills needed: Skilled in SQL, Power BI/Tableau/Looker, and Excel. Ability to help the company make more money, solve existing business problems, and/or better achieve their goals.

Job responsibilities:

  • Ability to identify problems within a business, including through using data modeling techniques.

  • Formulate ways for businesses to improve based on previous research.

  • Effectively communicate and develop requirements with senior people in organizations.

Salary source: Indeed

Operations Analyst: $70,613 per year

Skills needed: Writing SQL queries, ETL procedures, Excel and Python. Experience working with data warehouses and data visualization/BI tools (Tableau, PowerBI, etc).; identifying data requirements for analytics projects; synthesizing and presenting results.

Job responsibilities:

  • Defining how to measure key metrics, perform deep dives into the data leading to insights on those metrics, and presenting analyses in compelling ways.

  • Understanding the use of features, financial instruments, models, and platform user engagement.

Salary source: Indeed


Course sequence

Unit 1: Program Overview

Unit 2: Structured Foundations

Unit 3: Your Job Search Strategy

Unit 4: Microsoft Excel for Business Analytics

Unit 5: Financial Analysis

Unit 6: Effective Networking: Building Your Network

Unit 7: Economics for Data Analysis

Unit 8: Statistics for Data Analysis

Unit 9: Informational Interviews

Unit 10: Visualization Tools

Unit 11: The Art of Storytelling

Unit 12: Find the Right Job Title & Companies

Unit 13: Data Connectivity

Unit 14: Preparing for and Getting Interviews

Unit 15: Data Analysis in Python

Unit 16: Capstone

Unit 17: Effective Interviewing for Data Analysts

Unit 18: Congrats!

Capstone project

The Capstone project is divided into five stages with each stage translating into one of the phases of the HDEIP framework.

Step 1: Find Your Dataset

Step 2: Create a Problem Statement & Issue Tree

Step 3: Analyze and Visualize Your Data

Step 4: Create Visualizations with Tableau or PowerBI

Step 5: Create Your Presentation and Present Your Findings

Career units

Optional career content includes guidance on how to present your best self to employers as a polished professional. You’ll be guided on how to create a job search strategy, build a resume and cover letter, network effectively, land and perform in an interview, and negotiate the salary you deserve.

Preview three of the course’s technical units

Structured Foundations

The structured foundations approach is the foundation you’ll use to come up with a data-oriented solution to any business problem.

No matter what industry you’re in, if you're able to master the ability to frame problems in a structured, data-driven way, you’ll always come out on top.

  • Develop an understanding of the HDEIP Framework and the Five-Step Problem Solving Approaches

  • Learn how to use SMART principles to create a problem statement worksheet

  • Become comfortable creating Mutually Exclusive Collectively Exhaustive (MECE) Issue Trees

  • Develop an understanding of Value Driver Trees

Visualization Tools

Visualization Tools such as Power BI are critical tools used in the Presentation Phase of the HDEIP Framework. While upfront analysis is very important work, ultimately, how this information is presented, visualized, and consumed determines whether your analysis will be adopted or shelved. In this unit, students will learn how to use Power BI and Tableau to craft powerful, impactful stories.

In this unit, you’ll:

  1. Develop an advanced ability to use two visualization tools: Tableau and Power BI

  2. Practice using functions data analysts use on a daily basis

Data Connectivity

While working through this section of the course, you’ll learn how to leverage Structured Query Language (SQL) to query relational database management systems. In other words, you use queries to understand the data contained in databases. Here’s one example. Let’s say you’re a data analyst assessing underperforming malls. You’d write a query to analyze daily foot traffic data stored in the malls’ databases.

In this unit, you’ll:

  • Develop the ability to explain the nuances of a database and how it relates to set theory

  • Write best practice queries in SQL

  • Practice using SQL with real data to extract insights to be presented to an audience

Student support

This program is 100% online, which means you can complete your coursework on your own schedule. But you won’t be entirely alone in your learning journey! As you progress through the course, you’ll be guided by a number of people who are partners in your success.

You’ll have access to:

  • A personal mentor:: You’ll get matched with a mentor and participate in 1:1 weekly calls to discuss and receive feedback on your projects.

  • A student advisor: Be held accountable and receive practical tips to clear roadblocks you may have in the course.

  • A career coach: Optional career units feature coaching calls that will prime you in your job search.

  • A Slack community: Build camaraderie, plus give and receive feedback with students in your cohort.

University of North Florida

Meet our mentors

Mohit Bhatia
Program Manager - Analytics
Hasin Ahmed
Head of Product Design
Julia Kho
Operations Research Developer
Shoumik Goswami
Lead Business Analyst

Is this program right for you?

This data analytics bootcamp is designed for people who demonstrate an aptitude towards critical thinking and problem solving and have two years of work experience.


  • Strong critical thinking and problem-solving skills

  • 2 years of professional work experience working regularly with office, design, or programming tools

  • Fluency in English (written and spoken), as determined by initial interactions with the Admissions team


What is data analytics?

Data analytics is the science of analyzing data to identify insights and make high-impact business recommendations.

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.

Learn from the best in the industry

University of North Florida’s Division of Continuing Education is the premier provider of lifelong learning, workforce development and transformative enrichment experiences for the northeast Florida region and beyond. Every year more than 6,000 students take advantage of our variety of offerings.

In our 100% online, mentor-led bootcamps, you will learn on your own time, from the comfort of your home. Finish early by putting in more time per week, without being tied down by class schedules. You will receive a certificate of completion from UNF on graduating.

University of North Florida

More questions about the program?

Schedule a call with our Enrollment team or email Carolina, our Enrollment Advisor, who will help you think through the decision.

Email Carolina

University of North Florida

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