UCF Data Analytics and Visualization Boot Camp

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Classes begin quarterly

Learn Data Analytics Online in 24 Weeks

Learn specialized skills: Python, Machine Learning, SQL, and more

We are committed to preparing our online data analytics and visualization boot camp students for success. With the rise of data in today’s economy, our program focuses on teaching individuals the practical and technical skills needed to analyze and solve complex data problems through an innovative online learning format.

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Structured Flexibility

Our course is designed to give you the flexibility you need to balance your work-life schedule while providing you with the structure and support you need to be successful in achieving your career goals.  

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Innovative Instruction

Our program combines the best of online education: engaging hands-on projects and live, interactive online classes led by expert instructors.

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Real-World Projects

Our industry-driven curriculum teaches you the most in-demand data skills through real-world examples. Everything you learn is immediately applicable to a professional environment.

Why Choose our Data Analytics and Visualization Program

  • You will receive a UCF Certificate of Completion from our online data analytics and visualization boot camp after studying part-time over 24 weeks.
  • The curriculum covers relevant tools and technologies including Intermediate Excel, Python, JavaScript, HTML5/CSS, API Interactions, SQL, Tableau, Fundamental Statistics, Machine Learning, Git/GitHub, and more.*
  • Projects align with real-world datasets from various industry data fields like Financial Services, Human Resources, Healthcare, and Government.
  • You will receive the same level of support as our in-class experience including instructors, assistant instructors, student success team, free tutor network, and more.
  • You will benefit from the support provided by career services during the program and up to three months after program completion.

Market-Driven Curriculum

Our curriculum provides hands-on learning. Through an immersive virtual classroom experience, students will dive into in-demand technologies like Excel, Python, JavaScript, SQL Databases, Tableau, and more.

Through a combination of collaboration with your classmates and independent work, you’ll use your new skills to build a comprehensive portfolio of projects that showcase your ability to tackle real-world data issues. Over 24 intensive weeks, you’ll master the fundamentals of data analytics and visualization, including:

Intermediate Excel Functions

  • Pivot Tables
  • VBA Scripting

Fundamental Statistics

  • Modeling
  • Forecasting

Python Programming

  • Python 3
  • NumPy
  • Pandas
  • Matplotlib
  • API Interactions

Databases

  • PostgreSQL
  • MongoDB
  • Extract-Transform-Load (ETL)

Front End Web Visualization

  • HTML
  • CSS
  • Bootstrap
  • Dashboarding
  • JavaScript Charting
  • Geomapping with Leaflet.js

Business Intelligence Software

  • Tableau

Advanced Topics

  • Big Data Analytics with Hadoop
  • Machine Learning
* Note: These topics are subject to change based on local market demand and the input of our hiring partners.

Reserve your spot in an
upcoming boot camp.

It only takes a minute to request information and receive a full curriculum overview. You will also be put in touch with an admissions representative who can answer questions and get your application started.

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Innovative Online Model

Real-World Training

Get job ready through hands-on experience with the latest technologies, and build a portfolio of projects to showcase your knowledge.

Interactive Live Classes

Attend class from wherever you are. These online sessions are NOT lectures: they’re designed to be highly engaging and interactive sessions. Work with other members of your tightly knit cohort and broaden your experience while leaning on your instructor and teaching assistants.

Job Planning Assistance

You will have access to a dedicated career director and career material advisor that will help you prepare to find your dream job after completing the boot camp through a wide range of career services.

Job Outcomes

Those who complete the online data analytics program can qualify for a number jobs including: 

  • Looks at large amounts of information to glean data-driven insights using a variety of coding, statistics, and tools.
  • Employs advanced skills that include those of data analysts, data engineers, and more! They focus on machine learning and algorithm development for modeling trends and forecasting the future.
  • Uses Excel and Powerpoint to create reports around key business questions and develop strategies based on macro trends in the data.
  • Designs, installs, tests, and maintains software systems with popular programming languages like Python.

Is this online data analytics program right for you?

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You’re looking to advance your career and learn data skills to open up new opportunities.

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You’re looking to switch careers and become a data professional.

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You want to enhance your technical data skills to use in your current role.

How to Apply

  1. Form Submission. Fill out our program interest form with a few of your key details so we can get in touch with you.
  2. Admissions Interview and Application. Connect with a member of our admissions team for a quick phone interview to discuss the program in more detail, answer your questions, and talk through your goals. Then, fill out a short application that tells us more about you and your reasons for pursuing this opportunity. 
  3. Assessment. Complete a multiple-choice critical thinking and problem-solving assessment. This is your chance to show us your logic-based skills. No prior industry experience is required to complete the assessment. If you pass your academic assessment (Congratulations!), you are officially accepted into the program and able to move forward with the enrollment process.
  4. Financial Options, Deposit, and Enrollment Agreement. After acceptance into the program, you will connect with admissions to discuss which financial option works best for you. Once you’ve approved your desired payment method, the last step to finalize your enrollment is to pay your deposit and review and sign your enrollment agreement.

Start Your Journey. That’s it! You’re now ready to begin your program pre-work and prepare to start the boot camp.

Data Analytics Boot Camp Schedule

Part-Time Online Data Analytics Program

  • 24-week online format
  • Study part-time while maintaining your existing professional, educational, or personal obligations
  • Learn through live online classes three days per week and real-world projects
  • Dedicate 9 hours of scheduled in-class time per week and a minimum of 20+ hours outside of class on hands-on projects and practice work

Currently Enrolling

» Coding Boot Camp:

Full-Time 12/12/22
Part-Time 12/12/22

» Data Boot Camp:

Part-Time 12/12/22

» Digital Marketing Boot Camp:

Part-Time 1/17/23

» UX/UI Boot Camp:

Part-Time 2/27/23

Frequently Asked Questions

Our data analytics and visualization boot camps in Sanford/Lake Mary are held online. Call us at (407) 583-6750 for more information on how to apply, or visit our Online Experience page to learn more.

No, applicants do not need to be UCF students. UCF Data Analytics and Visualization Boot Camp is offered through UCF Division of Continuing Education.

No data or programming experience is required. It is recommended that applicants hold a bachelor’s degree or have at least two years of experience in business, management, finance, statistics, or a related field.


Learn more about UCF Data Analytics and Visualization Boot Camp by filling out the form below or contact an admissions advisor at (407) 583-6750.


Reserve your spot in an
upcoming boot camp.

It only takes a minute to request information and receive a full curriculum overview. You will also be put in touch with an admissions representative who can answer questions and get your application started.

Review previously provided information.
* indicates required field.

Not ****@domain.com ?
Share some information to gain exclusive access to our articles.