ABOUT
LaGuardia Community College’s Data Analytics Pre-Apprenticeship Bootcamp is a 6-week full-time (Monday-Friday), no cost training program at the LaGuardia Classroom at Civic Hall in Manhattan.
The program (open to 25 eligible candidates) prepares you to apply for a paid 28-month Registered Apprenticeship opportunity with LaGuardia’s employer partner, The Information Lab, and its training arm, The Data School.
The curriculum combines 180 hours of technical skills, career readiness, and presentation skills, integrating the skills you need to become successful in entry level analyst roles.
You’ll learn SQL, Python and Tableau, applying your skills through real-world projects and earning a LaGuardia certificate in Data Analytics upon completion.
The training culminates with a capstone project that is presented to LaGuardia’s employer partners to be considered for a paid full-time apprenticeship at The Data School, starting in April 2026.
Learn more about the Data Analytics Pre-Apprenticeship Bootcamp.
ELIGIBILITY
The Data Analytics Pre-Apprenticeship Bootcamp is open to job seekers who:
- have at least a GED diploma
- earn an annual income of less than $55,000
- are willing and able to begin a full-time, 28-month Registered Apprenticeship with the Data School, starting in April 2026 (if selected)
- are authorized to work in the United States
HOW TO APPLY
To apply to the Data Analytics Pre-Apprenticeship Bootcamp @ Civic Hall please complete the application form.
October 1 – October 24: Applications open
Applicants who are moved to the next step of the process will be asked to submit on a rolling basis via Secure Dropbox:
- GED/HS diploma
- Technical Exam
- Proof of Income
- Work Authorization
October 30 – Documents deadline for consideration
November 3 – December 5: Interviews
December 15: Final acceptance offers sent
December 29: In person prep day
January 5 – Class start date
February 13 – Class end date
PARTNERS
RESOURCE INFORMATION
NYC’s first Registered Data Analyst Apprenticeship – The Information Lab
Samples projects from successful previous applicants can be found here:
