Online Data Analytics Bootcamp
Learn the visualization skills you need to become a Data Analyst and transform your career in
New: Learn the latest AI tools and techniques.
Get Your Fullstack Data Analytics Bootcamp Syllabus
10-26
4.8
Online
01/14
01/21
The Fullstack Academy Experience
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.
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:
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 Entry-Level Salary in NYC |
|---|---|
| Data Analyst | $82,640 (Glassdoor, 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.
For a limited time, apply and enroll in an upcoming January 2025 cohort by January 14, 2025 to receive the New Beginnings Scholarship (a $1,000 value).
You may also be eligible to save $1,000 on tuition with the Early Enrollment Discount. Contact your Student Advisor for details.
| Tuition: | $12,995 |
| New Beginnings Scholarship: | -$1,000 |
| Early Enrollment Discount: | -$1,000 |
| Total Tuition w/ Scholarship + Discount: | $10,995 |
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.
Pay for your bootcamp tuition in affordable, predictable monthly installments.
You may be eligible to pay for bootcamp using local/state government benefits based on where you live.
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 designed for all skill levels and will be a great learning environment for anyone willing to work hard and think big.
Passion for tech and a desire to start a new, more fulfilling career.
Natural curiosity and a solution-focused 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:
Sample Part-Time Schedule (times are represented in the Eastern Time zone)
The Part-Time Fullstack Academy Data Analytics Bootcamp is 26 weeks with classes held on Tuesday and Thursday evenings.
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
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
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
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
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
Learn to use Python to build and manage data structures.
Conditional statements, loops, and functions
Object-oriented programming (OOPs) and threading
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
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
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
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.
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:
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 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).
The Fullstack Academy Career Success team works with you to prepare for your first job and each job afterward. Our team of professional career coaches helps you with:
Growing your professional network
Resume and LinkedIn profile optimization
Interview and assessment prep
Salary negotiation workshops
And much more!
Even after you graduate, our team is available to help you stay motivated, prepare for interviews, and negotiate offers.
Companies of all industries are hiring for remote and in-person data analyst positions across the US. Data career opportunities continue to be prominent throughout the professional landscape.
Frequently Asked Questions
With a 23% projected 10-year growth rate for data analytics jobs in the US, 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 26 weeks.
The admissions assessment for the data analytics bootcamp is a 30-minute, timed, logic-based exam that does not require prior study.
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.
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.
