Applications for the Data Analyst Training Accelerator program are closed.
Details will be updated here once the program reopens for application submissions.
Data Analyst Training Accelerator (DATA) Overview
The Data Analyst Training Accelerator (DATA) is an 18-week immersive live online training program designed to prepare unemployed and underemployed New Yorkers with no previous data experience for careers in data analysis at salaries of $55,000 or more.
By providing no-cost data analytics training, career services, and connections to high-paying jobs, DATA aims to equip qualified New Yorkers with the in-demand skills necessary to launch careers in data and marketing analysis.
Participants will receive support that includes but is not limited to:
- Workshops to help you get back into a learning and growth mindset as you transition back to being a student
- Training in Microsoft Excel, Presentations, Python, SQL, AWS, and Tableau
- Career coaching throughout training, and lectures and workshops that address the unique challenges faced by underrepresented populations in tech and those without prior tech experience
About The NYC Tech Talent Pipeline
The NYC Tech Talent Pipeline is a $10 million industry partnership designed to support the growth of the City’s tech ecosystem and prepare New Yorkers for 21st century jobs.
The NYC Tech Talent Pipeline works with public and private partners to define employer needs, develop training and education models to meet these needs, and scale solutions throughout the City, delivering quality talent for the City’s businesses and quality jobs for New Yorkers.
What Does a Data Analyst Do?
Regardless of what industry you end up working in, Data Analysts spend their time answering business objectives by identifying patterns through the collection of raw data and giving the data a voice. By effectively communicating their findings through presentations, data models, dashboards, and key performance indicators, Data Analysts help improve their company's decision-making processes.
Data Analysts hold unique traits that help guide businesses to grow and continue to be successful:
- Subject-matter expertise
- Problem-solving skills
- Creative skills
- Effective communication
- Exceptional storytelling abilities
A day in the life of a Data Analyst includes:
- Using business intelligence (BI) and analytics tools
- Collecting raw data, identifying patterns, then using those patterns to develop insights for an organization
- Creating visualizations of the data to effectively communicate findings across all audiences
- Creating reports and enticing presentations, using data visualizations
- Training others in the data collection process
- Developing key performance indicators (KPIs)
- Collaborating as part of a cross-functional team
- Streamlining data collection
A career as a Data Analyst might be right for you if you’re someone who:
- Likes to think big picture, be creative, and solve problems at their root
- Enjoys complex puzzles and riddles
- Wants to challenge assumptions and research multiple viewpoints (and possibly prove yourself wrong in the process)
- Excels at explaining complex topics to others at varying levels of depth
- Is an inspiring storyteller
The Fullstack Academy Experience
Our rigorous program comes with all the community support you'll need to succeed—the perfect environment in which to launch your new career.
Top-Rated Bootcamps
Fullstack Academy is a highly rated tech education provider in the US, and our student reviews reflect that.
Professional Results
Our graduates get hired by amazing companies like Google and Amazon.
A Culture of Inclusivity
Everyone at Fullstack—from your classmates to your instructors and beyond—is expected to be open, understanding, and supportive. And it’s a good thing because those people are going to be a big part of your professional network. The attitude at Fullstack is that we’re all in this together.
Experienced Instructors
You'll learn from data analyst professionals and leaders who have a passion for teaching and a love for data. Instructors will guide students through the program to help them be successful in a growing, diverse new generation of data analysts. From working with raw data, programming, building data model dashboards, applying complex functions, and formulas, they’ve done it all!
Strong Job Market
New York City is home to several of the leading tech companies in the world. It’s also a global financial center, not to mention a hotbed of startup innovation. All that to say: Data Analysts are amongst the most sought-after positions, are in high demand, and make good money.
Real-World Analysis Tools
Our curriculum will introduce you to important analytical tools and applications like Excel, Tableau, Python, SQL, and AWS.
DATA Program Eligibility and Dates
Applications are closed for this program. Once information is available, this page will be updated.
Eligibility Criteria
This no-cost career training is an opportunity offered by the City of New York. Applicants must meet the following criteria:
- Be at least 18 years of age
- Be a current New York City resident
- Be authorized to work in the United States
- Be unemployed, or earn $45,000 or less if currently employed
- Meet all selective service requirements
- Have no paid professional data or marketing analyst experience
- Be available for all sessions of the course through the duration of the program
Special Notes
- Classes are held live online.
- All New Yorkers may apply.
- Black and Latinx New Yorkers are strongly encouraged to apply.
- An advanced degree is not necessary to succeed in this training. New Yorkers with a high school degree or equivalency, associate degree, or some college experience are encouraged to apply.
- Eligibility does not guarantee acceptance; all interested candidates must complete and be selected via a competitive application process.
Curriculum
The DATA curriculum was built with a hands-on and interactive approach, to provide students with real-world experiences and applications while working with analytical tools.
Over 6 sections of content, students will complete modules, lessons, assessments, and workshops that are centered around foundational topics to prepare them for mastering their skills in Excel, PowerPoint, Tableau, Tableau Desktop Specialist Certification, SQL, Python, and AWS. After completing all foundational modules and lessons, students transition into their final capstone project.
The up-to-date curriculum ensures course activities are relevant with real-world applications and interactive technology to help students master the knowledge and skills that they’ll acquire throughout the program. Students will learn the most needed and desired data analytic skills, including but not limited to complex functions and fundamentals, the art of presentations and storytelling, building compelling visuals, practical coding, data model building, dashboard creation, programming, cloud platform analytics, career networking, and procedures for data integrity, data security, data compliance. In tandem, students will prepare to take the most sought-after industry certifications.
DATA students will bring everything together using real-world examples and data sets to solve business problems, culminating in a final Capstone project to showcase their newly acquired skills.
Upon completion of the DATA program, you will be able to:
- Master and build complex formulas and functions. Become a data-driven powerhouse while creating visuals using raw data.
- Become a data storyteller by connecting your data to the story you create. Help your audience see what the data is saying through effective communication and creativity.
- Give data a story using data-driven approaches to analyze meaningful information to make critical business decisions.
- Gain the ability to write Python programs and utilize fundamental building blocks of programming in data analysis.
- Give your data a clear and concise voice by creating data dashboards and models. Share your findings using the top visualizations and techniques.
- Discover, interpret, and communicate data using the cloud to apply data patterns and help your audience make effective decisions.
Timeline (Phases)
Phases
Topics Covered/Learning Goals:
- Excel Fundamentals
- Basic Formulas and complex Functions
- Pivot tables and advanced chart design
- Data-driven storytelling and summarizing with visuals
- SQL Fundamentals
- Career Success readiness
Projects/Assessments Due:
- Challenge Activities
- Workshops
- Excel Assessment
- Presentations Assessment
Topics Covered/Learning Goals:
- SQL queries, functions, and order of operations
- Python fundamentals and command-line syntax
- Core scripting elements such as variables and flow control structures
- Career Success readiness
Projects/Assessments Due:
- Challenge Activities
- Workshops
- SQL Assessment
- Python Assessment
Topics Covered/Learning Goals:
- Analytical storyboards using Tableau
- AWS data analytics services, data collection, databases, and visualizations
- Final capstone project
- Career Success readiness
Projects/Assessments Due:
- Tableau Data Specialist Certification
- Final Capstone Project
Daily Life as a DATA Student
Full-time Schedule
The program will consist of Monday through Friday instruction that includes a total of 6 hours of content and workshops + 2 hours of break/individual learning time.
Morning session:
- 60 minutes: welcome and content read
- 60 minutes: lecture and demo lessons
- 30 minutes: work on challenges
- 30 minutes: walkthrough challenge solutions and wrap up
Break:
- 60 mins
Afternoon session:
- 60 minutes: recap and content read
- 60 minutes: lecture and demo lessons
- 30 minutes: work on challenges
- 30 minutes: walkthrough challenge solutions and wrap up
- 60 minutes: independent learning and office hours
Optional office hours for additional support.
Certifications
As a part of the DATA program, students will be prepared to earn the most in-demand industry certifications. Taking these certifications is optional but highly recommended for career success. Students can choose to take certification exams during or directly after the program.
Tableau Desktop Specialist
No matter what role you get after completing the Data Analytics bootcamp, getting certified is a great way to demonstrate your proficiency in Tableau—a widely used tool for data visualization and business intelligence.
Career Prep
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. After you graduate, our team holds weekly group sessions and individual office hours 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
We know that our DATA participants are new to tech, so we customize our Career Success content to meet you where you are at. We’ll specifically focus on how to bring your prior experience—whatever it may be—to the forefront of your job search so that your individuality shines. Beyond that, we’ll also host sessions on how to navigate the job search with respect to all aspects of your identity and bring in industry insiders who come from the same places, have experienced the same struggles, and have found success.
We have successfully helped thousands of students transition to lucrative positions in tech—and we’re excited to extend that to more qualified New Yorkers free of charge!
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.
Our graduates get hired by industry leaders:
Admissions Process
1. Complete the Requirement Screener
This verifies that you meet the necessary criteria for the DATA program.
2. Complete the Application Form
Note: The application will not save between sessions, so you will need to complete this all in one sitting.
3. Complete the Math Assessment
This assessment covers the base-level math concepts needed to excel as a data analyst. It covers arithmetic, algebra, and descriptive statistics.
If it’s been a while since you’ve taken math, you can also take a practice assessment here.
4. Complete the Excel Assessment
This assessment is a walkthrough of how a data analyst might approach working with a data set. There is no prior experience required and you will be given all of the tools you need to complete the assessment.
After completing the four steps above, your application is considered complete and our staff will begin reviewing your submission. Exceptional candidates will be invited to a live, 20-minute interview with the Program Manager and another staff member.
What If I Don’t Qualify?
The Data Analyst Training Accelerator (DATA) is for New York residents with specific work experience and income requirements.
Questions about the program? Please email data@fullstackacademy.com.
