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Data Analyst Training Accelerator to prepare Unemployed and Underemployed New Yorkers


The Data Analyst Training Accelerator (DATA) is an 18-week immersive 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.

Donor Name: Fullstack Academy

State: New York

City: New York City

Type of Grant: Training or Mentorship

Deadline (mm/dd/yyyy): 01/12/2022


Offered in partnership with NYC’s Tech Talent Pipeline, a No-cost career training through the immersive data analytics bootcamp.

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

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

Their rigorous program comes with all the community support you’ll need to succeed—the perfect environment in which to launch your new career.

  • 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 they are all in this together.
  • Top-Rated Bootcamps: Fullstack Academy is a highly rated tech education provider in the US, and their student reviews reflect that.
  • Professional Results: Their graduates get hired by amazing companies like Google and Amazon.
  • 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: The curriculum will introduce you to important analytical tools and applications like Excel, Tableau, Python, SQL, and AWS.

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, including attending in-person sessions through the duration of the course

Special Notes

  • 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


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, AWS, and AWS Data Analytics Specialty Certification. 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.

For more information, visit DATA Program.

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