Experience Fullstack Data Analytics
The Data Analytics bootcamp at Fullstack Academy helps students establish foundational knowledge, skills, and abilities in the field of data analytics.
The Data Analytics Bootcamp at Fullstack Academy is designed to prepare you for a career in data analytics. 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.
Students build in-demand industry skills and prepare to take certification exams in Tableau and Amazon Web Services. The program consists of Fullstack’s signature Live Online classes and workshops so you will feel fully supported along your journey.
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
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; February 2024).
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, Excel, and ChatGPT—and apply them in a capstone project.
Gain Real-World Experience
You will complete workshops based on industry-simulated challenges in data analytics.
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 (ZipRecruiter, April 2024) |
| Data Analytics Consultant | $93,381 (ZipRecruiter, April 2024) |
| Business Analyst | $98,378 (Glassdoor, April 2024) |
| Insights Analyst | $124,213 (ZipRecruiter, April 2024) |
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.
Pay Upfront
with scholarship
$10,995
$12,995
Monthly Payments
as low as
$226
/month
Upcoming Dates
Join the Next Data Analytics Bootcamp
Admissions
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:
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.
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
Object-oriented programming (OOPs) and threading
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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
During the bootcamp, you’ll contribute to several workshops and projects—culminating with a final capstone project. You’ll build your capstone project using the 5 core data tools used in the program (Excel, SQL, AWS Glue, Tableau, and Python), and apply them toward finding practical data solutions for real business challenges.
Following graduation, you can use this project to form the basis of your portfolio to demonstrate your skills to prospective employers. 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 more than 600,000 job postings in the U.S. and a 21.5% projected 10-year growth rate, 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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Data analytics bootcamps are accelerated learning programs designed to provide students with the skills, knowledge, and practical experience to launch a career in data analytics. While specific topics and technologies may differ based on provider, tech bootcamp programs are typically built around the necessary skills of current and future professionals in the industry.
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The admissions assessment for the data analytics bootcamp is a 30-minute, timed, logic-based exam that requires no preparation. However, if you’d like a refresher on logic-based questions, we’ve created this guide with tips for acing the assessment.
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Our data bootcamps are thorough, comprehensive, immersive, and rigorous. We’re backed by multi-year experience in online tech training to deliver consistent, in-demand curricula and digital learning tools in a remote environment. Read more.
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Data analytics programs require a high degree of tenacity and commitment, so prospective students should be self-disciplined, eager, and dedicated to tech career training. Prospective data analysts should possess natural curiosity and a solution-oriented approach to learning—as these qualities align well with the day-to-day responsibilities of the job.
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As part of the bootcamp program, we'll train you to earn two of the most in-demand certifications in the field of data analytics:
- AWS Certified Data Analytics - Specialty
- Tableau Desktop Specialist
Taking each certification exam is optional but highly recommended for career success. We recommend earning the certifications either during bootcamp or soon after. Certification is not required to graduate, and exam vouchers are not included in bootcamp tuition.
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As part of this program, you will create an account on Amazon Web Services and then work within the platform. You should plan to spend up to $300 on your AWS account through your bootcamp experience.
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Yes! The Fullstack Academy Data Analytics Bootcamp is designed for students of all starting skill levels, including beginners.
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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.
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The Fullstack Academy Part-Time Data Analytics Bootcamp takes 26 weeks to complete (6.5 months) with twice-a-week classes.
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Fullstack Academy Tech Bootcamp graduates have been hired by over 1,500 companies across the US. With up-to-date skills training, portfolio building, and career success services built right into the curriculum, students are prepared to enter the data job market with a competitive edge.
Unlike a broad-match job placement service, our data analytics career success program is designed to foster growth in your first industry job and every job afterward. Through guidance in resume and LinkedIn profile optimization, interview preparation, salary negotiation, and more, Fullstack Academy career coaches are dedicated to your success—offering their services for up to a year following graduation.
Learn more about Fullstack Academy Career Success.
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Yes! The curriculum teaches AI for data analytics throughout bootcamp and includes 2 full units dedicated to generative AI technologies: Essentials of Generative AI and Applications of Generative AI in Data Analytics. During these units, you’ll gain skills in popular tools like ChatGPT, Google Gemini, and more. You’ll then apply them to real-world data analytics scenarios to automate processes, model and visualize data more efficiently, and broaden data exploration.
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If you are currently a data professional, or have 3-5 years experience in an equivalent, highly computational field, we offer an AI & Machine Learning Bootcamp that may better suit your needs at this stage of your career. Learn about the Fullstack Academy AI Bootcamp.
