A New York 501(c)(3) nonprofit running hands-on training for underserved adults in cybersecurity, AI, IT support, data analytics, digital literacy and financial empowerment. Programs lead to certifications and include job-placement help and internships, and the organization offers scholarships.
Why I recommend it: Worth an application if you are in the New York area and want a certification with placement support attached. One thing to ask about first: the site describes the programs as affordable and mentions scholarships, but it publishes no prices anywhere — so ask in writing what a program costs, what the scholarship covers and how many places there are before you commit time to it.
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Barclays' data and analytics internship track, covering the work interns do with data science, modelling and analytics teams and how to apply.
Why I recommend it: A good bridge if you have analytics coursework but no finance background — they train on the domain, not the tooling. Pair it with a portfolio project you can talk through.
Certificate covering spreadsheets, SQL, R, Tableau, and the full analysis process from cleaning to presenting.
Why I recommend it: The analysis habits transfer to almost any role. Even if you never take an analyst title, being the person who can read the data changes what work you get handed.
Paid, full-time apprenticeships at Google lasting roughly 12 to 24 months, across Data Analytics, IT Support, UX Design, Software Engineering, and Project Management. Built for people with less than a year of experience in the field who do not hold a related degree.
In plain terms: This program provides paid, full-time apprenticeships in fields like data analytics, software engineering, and project management for people without a related degree. You can explore open roles and apply to gain hands-on career training over 12 to 24 months.
Why I recommend it: No degree in the field is the point here, not a disqualifier. Pick one track and build two small projects in it before the window opens.
A global tech community that partners with major technology companies to run fully funded certification cohorts — including security and data analytics tracks — alongside mentorship, resume workshops, and access to corporate hiring partners.
Why I recommend it: Sponsored certification vouchers are the practical win here. Join the community first, then watch for cohort announcements.
Analytics and Excel teacher helping professionals build real data skills and use AI to increase their impact at work.
In plain terms: An Excel MVP and author teaching practical analytics skills you can apply at work, including how to pair them with AI tools. Self-paced and beginner-friendly.
From the site: Helping you build real-world analytics skills so you can partner with AI to accelerate your impact at work. Author, LinkedIn Top Voice, Microsoft Excel MVP.
Why I recommend it: A good fit if you want data skills without a bootcamp. His lessons are built around work you actually do in a job.
