Experience Fullstack Data Analytics
Learn to apply analytics, business insights, GenAI applications, and visualization skills toward a thriving career as a data analyst through Fullstack Academy’s Data Analytics bootcamp.
You will build in-demand industry skills using the latest tools and technology—graduating with the knowledge and experience to qualify for entry-level data roles. You’ll also develop a portfolio of projects to show employers.
During bootcamp you’ll practice data visualization and prepare to earn the industry-recognized Tableau Desktop Specialist certification.
Our up-to-date curriculum ensures course activities are relevant with real-world applications and interactive technology to help you master the knowledge and skills that you’ll acquire throughout the program.
Fullstack Data Analytics Overview
Leverage GenAI for Data Analytics
Learn how Generative AI enhances data exploration, visualization, modeling, and ETL automation.
Prepare for an In-Demand Tech Job
According to the Bureau of Labor Statistics, the number of jobs in data analytics is expected to grow 23% in the next 10 years.
Earn a Competitive Salary
Data analytics bootcamp graduates are prepared for entry-level roles with average salaries of $68,088 (ZipRecruiter).
Enroll at Any Starting Skill Level
Start as a beginner or upskill in your career—graduating with sought-after data skills that can be applied across a range of industries.
Learn from Industry-Experienced Instructors
Our curriculum is developed and taught by industry professionals who are passionate about training the next generation of data analysts.
Use Top Data Tools & Technologies
You’ll use top tools and technology—like Python, SQL, and Excel—and apply them in a capstone project.
Data Analytics Roles and Salaries
Regardless of what industry you end up working in, data analysts generally spend their time finding patterns by collecting data and putting their findings into reports that can help improve their company's decision-making process.
Your daily work as an analyst may include things like:
- Using business intelligence ("BI") and analytics tools (and sometimes setting them up)
- Collecting raw data, finding patterns in it, then using the patterns to find insights for your business
- Creating visualizations of the data
- Creating reports using those visualizations
- Training others in the data-collection system
- Developing key performance indicators
- Collaborating well with a team
- Streamlining data collection
Entry-level data analysts can expect to earn about $68,088 in the US, while those with specialized skill sets or more experience have the potential to earn more. Browse the table below to learn more about the range of income potential in data professions.
| Role | Average Salary in the US |
|---|---|
| Data Analyst | $82,640 |
| Data Analytics Consultant | $93,381 |
| Business Analyst | $98,378 |
| Insights Analyst | $124,213 |
*Sources: ZipRecruiter and Glassdoor
Tuition and Dates
Fullstack Academy is 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 April 30, 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.
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You may be eligible to pay for bootcamp using local/state government benefits based on where you live.
Upcoming Dates for the Data Analytics Bootcamp
Join the Next Data Analytics Bootcamp
Online Data Analytics Bootcamp Admissions Process
Fullstack Academy's Data Analytics program is a challenging and rewarding educational experience.
There’s no experience required—just a logical reasoning test—so don’t let inexperience or unfamiliarity with the industry stop you from applying.
The Data Analytics program is specifically designed for beginners and will be a great learning environment for anyone willing to work hard and think big.
What Are We Looking For?
Passion for Tech
Passion for tech and a desire to start a new, more fulfilling career.
Creative Problem-Solver
Natural curiosity and a solution-focused mindset.
Growth Mindset
Eagerness to work hard and learn new skills
Data Analytics Bootcamp Daily Schedule
You’ll experience a live online classroom environment alongside your classmates, instructors, and teaching assistants through a mix of live instruction, practical exercises, and team projects.
No two days are the same, but here’s an example of what a typical day looks like:
Part-Time Schedule
Sample Part-Time Schedule (times are represented in the Eastern Time zone)
- 8:00pm-11:00pm ET
The Part-Time Fullstack Academy Data Analytics Bootcamp is 26 weeks with classes held on Tuesday and Thursday evenings.
Timeline (ET)
ET
You’ll start with a self-led review of notes and other learning materials to prepare for class.
You’ll receive live instruction from a Fullstack Academy instructor, followed by a real-time demonstration of each new tool, concept, or technology, plus a live Q&A.
You will then apply what you’ve learned in exercises designed to simulate real-world data industry scenarios, and receive support from your instructional team. Then, the class concludes with a guided discussion.
Full-Time Schedule
Sample Full-Time Schedule (times are represented in the Eastern Time zone)
The Full-Time Fullstack Academy Data Analytics Bootcamp is 10 weeks with Monday through Friday classes.
10:00am-5:00pm ET
Timeline (ET)
ET
Your morning starts with a self-led review of notes and other learning materials to prepare for class.
You’ll receive live instruction from a Fullstack Academy instructor, followed by a real-time demonstration of each new tool or technology and a live Q&A.
You will then apply what you’ve learned in exercises designed to simulate real-world scenarios in data professions.
You’ll complete a workshop exercise with your classmates, and receive support from your instructional team.
In addition to classroom lessons, part-time students can anticipate spending 6-8 hours studying and working on outside assignments each week.
Class time options are subject to change. To see available class times for your cohort of choice, complete your application or schedule a call with a student advisor.
Fullstack Academy Data Analytics Curriculum
Our unique and foundational teaching approach enables students to thrive. We keep our curriculum up-to-date and ensure our instructors are teaching the latest technologies.
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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 biases.
Legal frameworks and data privacy
Informed consent principles
Ethical obligations of data professionals
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 Fullstack Academy Data Analytics Bootcamp graduates.
Certifications
In addition to using top data tools and technologies throughout the Data Analytics Bootcamp, you will receive specialized instruction in Tableau to prepare for the Tableau Desktop Specialist certification.
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 is not included).
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:
Career Success
Our career success team gives our students the professional skills they need for their first job and every job after. Knowing how to get a job is critical, which is why our Career Success team helps you graduate ready for the job search. And even after you graduate, our team is available to keep you motivated, prepare you for interviews, and even help you negotiate offers.
- Build a Technical Resume
- Optimize Your LinkedIn Profile
- Network within the Industry
- Prepare for Behavioral Interviews
- Stay Motivated on the Job Search
- Communicate with Recruiters
- Negotiate Offers
Fullstack Connections
Our team has built relationships with companies ranging from large to startups to agencies to ensure that the Fullstack brand carries weight and that we can help you make connections with the employers you want to work for.
Who Hires Fullstack Grads
Companies of all industries are hiring for remote and in-person data analyst positions across the US. Particularly within tech hubs like New York, data career opportunities continue to be prominent throughout the professional landscape.
Data Analytics Bootcamp Student Testimonials
Data Analytics Bootcamp FAQs
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With demand for data analysts slated to increase 36% through 2033, according to the Bureau of Labor Statistics, now is an exciting time to launch a fulfilling career in Data Analytics. The Fullstack Academy Data Analytics Bootcamp will help you learn the in-demand skills you need to succeed in the field and qualify for an entry-level role in as few as 10 weeks.
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The admissions assessment for the data analytics bootcamp is a 30-minute, timed, logic-based exam that does not require prior study.
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Fullstack Academy data bootcamps are thorough, comprehensive, immersive, and rigorous. We’re backed by over 10 years of experience in providing tech bootcamps and have graduated over 10,000 students. Fullstack Academy provides a comprehensive, in-demand curriculum and digital learning tools in a remote environment. Read more.
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The Fullstack Academy Data Analytics Bootcamp is a comprehensive, immersive, and rigorous online data analytics course. We’re backed by over 10 years of experience in online tech training to deliver consistent, in-demand curricula and digital learning tools in a remote environment.
Our active learning approach to tech bootcamp training combines live online instruction with practical skill-building workshops. You’ll learn by doing with the support of your peers, teaching assistants, and instructor—then receive job search support from professional career coaches for up to a year following graduation.
Learn more. -
As part of the bootcamp program, you’ll be prepared with the knowledge and experience to test for the Tableau Desktop Specialist certification.
Tableau is a widely used tool for data visualization and business intelligence, and Tableau skills are essential for success as a data analyst. Preparation coursework for the Tableau Desktop Specialist exam is built right into the bootcamp (the exam itself is not included).
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Upon graduation from the Fullstack Academy 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
Capstone Project
Through bootcamp training, you will also be prepared with the knowledge to qualify for Tableau Desktop Specialist certification (exam not included in bootcamp). Students are encouraged to take the exam on their own schedule, either alongside bootcamp or after graduation. Get your Data Analytics Bootcamp syllabus today.
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You’ll apply a wide range of GenAI tools toward data analysis, automation, and visualization. These tools include ChatGPT, Sora, Claude, and more.
