Part-Time
Data Analytics Bootcamp
Data Analytics Bootcamp
Jun. 10, 2025
- Dec. 11, 2025
Tue / Thu
8:00pm - 11:00pm ET
Open
Apply by Jun. 03, 2025
Virginia Tech Data Analytics Bootcamp
Become a Professional Data Analyst
- Master Python, SQL, Excel, and Tableau
- Apply GenAI for data analytics
- Train for a data career in 10-26 weeks
- Save $3,000 on tuition for a limited time
Program at a Glance
10-26
Weeks
06/03
Apply By
06/10
Next Start Date
$4,000
Potential Discounts
Why Learn Data Analytics With Virginia Tech?
A data analyst gathers, analyzes, and builds visualizations of an organization’s data to inform critical business decisions. Stakeholders then use this data to implement effective changes and launch new initiatives. As a result, skilled data analysts are highly sought-after, making it a rewarding career path for inquisitive professionals with a desire to solve problems.
With a focus on Generative AI, Virginia Tech Bootcamp goes beyond traditional analytics, equipping you with AI-driven techniques for data processing, visualization, and decision-making—preparing you for the future of data analytics.
The Demand for Data Analysts in Virginia
According to the Bureau of Labor Statistics, employment of data analysts in the U.S. is projected to grow by 23% through 2032. In Virginia and remotely, organizations of all sizes and industries are seeking data specialists, including local employers like Booze Allen Hamilton Inc., Deloitte, and CapitalOne.
Hiring for roles like Data Analyst, Insights Analyst, and Data Analytics Consultant, these companies are seeking individuals with the latest skills and knowledge in the field. Virginia Tech Data Analytics Bootcamp grads will be well-equipped for these roles and many others.
Bootcamp Application and Start Dates
Fullstack Academy is one of the longest-running and most successful tech bootcamps in the nation, with incredible student reviews, years of experience in education, and impressive graduate outcomes.
Through Fullstack Academy's active learning approach, the Virginia Tech Data Analytics Bootcamp helps open doors to opportunities in Virginia, remotely, and beyond!
How the Virginia Tech Data Analytics Bootcamp Works
The Virginia Tech Data Analytics Bootcamp is designed for students to pursue high-quality tech education while continuing to balance other commitments. Our part-time and full-time program options provide the flexibility to fit career development into your life.
Bootcamp classes combine live online instruction with group and independent active learning challenges—all facilitated by industry-experienced professionals.
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All classes are held Monday-Friday.
- 10am-5pm ET
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All classes are held weekly on on Tuesday and Thursday.
- 8:00pm-11:00pm ET
In addition to classroom lessons, part-time students can anticipate spending 6-8 hours studying and working on outside assignments each week.
Class times and schedule options are subject to change. To see available schedules for your cohort of choice, complete your application or schedule a call with a student advisor.
Virginia Tech Data Analytics Tuition
We’re committed to making tech education more accessible, which is why we offer several payment options to help you invest in your bootcamp education.
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Enroll in an eligible bootcamp cohort by May 16, 2025 to receive the Spring Forward Discount (a $3,000 value). Apply today!
Tuition: $12,995 Spring Forward Discount: -$3,000 Total Tuition w/ Discounts: $9,995 A refundable deposit of $99, applied to your total tuition, is due at the time of enrollment. The deposit is refundable up until the end of the first week of classes.
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Pay for your bootcamp tuition in predictable installments with a personal loan. Monthly installment will vary based on approved interest rate.
Data Analytics Jobs and Salaries in Virginia
Data analysts are in demand in Virginia and beyond, and the field has many lucrative career pathways. Companies and organizations of all industries are seeking individuals with data skills to fill roles, including:
- Data Analyst
- Insights Analyst
- Data Analytics Consultant
- Data Modeler
With the Virginia Tech Data Analytics Bootcamp, you have the opportunity to learn in-demand skills in data analysis, organization, visualization, SQL and Python programming, ETL, and ChatGPT in 26 weeks. Entry-level data analysts in Virginia earn an average yearly salary of $81,498 (Glassdoor, 2024), offering an effective return on investment for anyone pursuing a data analytics education.
Big Return on Your Investment
Virginia Tech Data Analytics Curriculum
Virginia Tech Data Analytics Bootcamp students will acquire the latest skills and knowledge to navigate and analyze real-world data sets. During the program, students will:
- Learn advanced features and formulas in Microsoft Excel
- Create presentations using data storytelling techniques and visualizations
- Design, learn, and apply SQL for database definition and manipulation
- Apply Python fundamentals to manipulate and analyze data
- Use AWS Glue to apply ETL (Extract, Transform, Load) processes
- Gain the skills to qualify for certification as a Tableau Desktop Specialist (exam not included in bootcamp)
- Explore how to apply generative AI in data analytics using ChatGPT, Bing AI, and more with a free elective course
Each course is facilitated by an instructor in a live online format. The curriculum teaches practical and technical skills using real-world scenarios, the latest technology, and hands-on projects.
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Become a power Excel user by learning how to use advanced features.
Conditional formatting and important functions
Analyzing data with pivot tables
Statistics in Excel
Macros and Power Query
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Design, learn, and apply the Structured Query Language (SQL) for database definition and manipulation.
SQL databases and tables
SQL operators, constraints, and data types
SQL JOINs, set operators, and subqueries
SQL window functions and views
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Integrate data from multiple sources into one data set to prepare it for storage.
ETL fundamentals using AWS Glue
Data source identification, extraction, and transformation
ETL tools and technologies
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Create and optimize highly interactive data visualizations using Tableau.
Tableau charts, dashboards, and stories
Data preparation, filtering, and analytics in Tableau
Advanced Tableau Desktop features
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Learn to use Python to build and manage data structures.
Conditional statements, loops, and functions
Data structures and operators in Python
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Apply Python programming toward analyzing, wrangling, and visualizing data.
Linear algebra in Python
Statistics in Python
Data analysis, wrangling, and visualization using Python libraries—including NumPy and Panda
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Gain in-demand generative AI skills using top tools like ChatGPT, Google Gemini, and more.
GenAI functionality, prompt engineering, and ethics
AI use cases for data analysis and storytelling
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Explore how to use AI in data analytics to aid data discovery, exploration, and visualization.
ETL and data modeling automation with AI
AI transformation in data visualization
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Understand the ethical implications of data practices—from privacy and consent to data bias.
Legal frameworks and data privacy
Informed consent principles
Ethical obligations of data professionals
*Please note that this is a sample curriculum and is subject to change.
Data Analytics Capstone Project
Throughout bootcamp, you’ll strengthen your data skills with hands-on workshops and projects—including a final capstone project. These projects form the basis of your professional portfolio, which you can use to show employers following graduation.
Below are some examples of capstone project presentations from recent Data Analytics bootcamp graduates.
Data Analytics Tools Covered in Bootcamp
Throughout bootcamp, you’ll use industry-standard digital tools to build practical, hands-on data analytics skills. Here are just some of the tools you’ll develop proficiency in:
Prepare to Earn Tableau Desktop Specialist Certification With Virginia Tech
In addition to using top data tools and technologies throughout the program, Virginia Tech Data Analytics Bootcamp students will be prepared for certification in Tableau.
Tableau Desktop Specialist
Tableau is a widely used tool for data visualization and business intelligence, and Tableau skills are essential for success as a data analyst. Demonstrate your proficiency by studying for the Tableau Desktop Specialist Certification—with preparation coursework built right into the bootcamp (exam itself not included).
Landing a Data Analytics Job in Virginia
Virginia Tech students will gain valuable insight into how to build a successful career in data analytics from day one of the course. Throughout the bootcamp experience, students may access live workshops, office hours, and on-demand content to help build a job search toolkit—which includes an optimized resume and LinkedIn profile.
Following successful completion of the Career Success Program, students can choose to opt into additional coaching support and receive guidance for up to a year following graduation in:
Growing your professional network
Resume and LinkedIn profile optimization
Interview and assessment prep
Salary negotiation workshops
And much more!
You’ll also graduate from the program with a portfolio of work that demonstrates your ability to solve real business problems for real companies.
Fullstack Academy grads have landed jobs with some of the world's leading companies.
Virginia Tech Bootcamps are powered by Fullstack Academy. The companies listed above have hired Fullstack Academy graduates.
Who Should Attend the Virginia Tech Data Analytics Bootcamp
The Virginia Tech Data Analytics Bootcamp powered by Fullstack Academy is specifically designed for beginners. There’s no experience required to apply, be accepted, or succeed.
Successful bootcamp students have backgrounds in:
Teaching
Finance
Retail
Customer service
Graphic design
Admin
Biology
And more...
Apply today and join others just like you on the first steps to a life-changing career.
FAQs
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Upon graduation from the Virginia Tech Data Analytics Bootcamp, you’ll have gained in-demand industry skills in the following areas:
Business Analytics with Excel
SQL: Data Acquisition and Manipulation
ETL (Extract, Transform, Load) Data Processes
Data Visualization Using Tableau
Fundamentals of Python Programming
Data Analytics with Python
Essentials of Generative AI
Applications of Generative AI in Data Analytics
Ethics in Data Analytics
You will also graduate with a capstone project to show employers—and be prepared with the knowledge to qualify for Tableau Desktop Specialist certification (exam not included in bootcamp).
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Yes, the Virginia Tech Data Analytics Bootcamp is beginner-friendly. It’s specifically designed for students of all starting skill levels. While some background knowledge is helpful, the only expectation is that students have general computer literacy skills in basics like efficiently using the Internet/cloud and Windows.
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Your time with our career success team will include everything from workshops to one-on-one office hours to phone chats before big interviews. Alumni will also have access to a job board and have the opportunity to be connected with companies and organizations in our Employer Partner Network that are actively seeking qualified candidates.
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No, Virginia Tech Bootcamps are not for credit and cannot be applied toward a degree or certificate program. Rather, they’re offered through Virgnia Tech Continuing & Professional Education and facilitated by Fullstack Academy instructors and staff to provide in-demand tech skills training for current or prospective tech professionals.
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Part-time students often continue working full-time while completing the bootcamp. Each week, students can expect to spend 9 hours in class and another 6-8 hours studying and completing assignments outside of class.
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You’ll apply a wide range of GenAI tools toward data analysis, automation, and visualization. These tools include ChatGPT, Julius AI, Claude, and more.
How to Apply?
Once you’re ready to start your tech journey, here are the steps you can expect in the admissions process.
- Fill out our online application form
- Take our nontechnical assessment
- No data analytics experience required
- Covers logical reasoning
- Sent to you immediately upon submission of application
- Receive an entrance decision
