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Self-taught with a portfolio
The Narrowing — Five Point Four

Self-taught with a portfolio

No permission required, nothing required of anyone else, and the highest drop-off rate of the eight.

Black developers looking at code together — licensed illustration, not a person in the statistic. The Narrowing — Five Point Four — self taught portfolio.
Black developers looking at code together. Licensed illustration — not a person in the statistic. Photo: Unsplash
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A Black student on a campus with books — licensed illustration, not a person in the statistic. The Narrowing — Five Point Four — self taught portfolio.
A Black student on a campus with books. Licensed illustration — not a person in the statistic. Photo: Pexels

The material is free and it is good. Complete introductory computer science courses from major universities are online at no cost, and someone who finishes one and builds something real knows more than many graduates. This route is legitimate and some of the best people in the field took it.

It also has the highest failure rate here, for structural reasons rather than personal ones. No instructor, no cohort, no schedule, and nobody notices when you stop. Completion rates on open online courses are low for everybody, including people with degrees and stable housing.

What actually changes the odds is not a better course. It is other people: one other person doing the same thing at a standing time each week. The part the free material does not come with, and it is the part that decides. Community college evening cohorts, local meetups, and nonprofit programmes exist in part to supply exactly this.

This is the lane where nothing is required of anyone. No school has to offer it, no board has to fund it, no employer has to sponsor it, and nobody has to answer when it does not work. It is also the lane most often recommended to whoever the other seven did not reach.

Equity investment is not credit. No federal law requires an investor to give you a reason.

The ladder, in one table

WhereBlack shareAgainst 12.7% of all workers
Everyone employed in the US12.7%—
Computer & mathematical occupations9.5%0.75×
Software developers5.4%0.43×
Technology jobs overall8%0.63×
C-suite technology executives3%0.24×

Occupation rows: BLS Current Population Survey, 2025 annual averages. Technology-industry and executive rows: CompTIA via McKinsey, 2022 — a different instrument on a different base, shown here because the direction is the point and stated separately because the sources are not the same.

What is already paid for

Programme names, amounts and deadlines change. These are the doors; verify current terms with the source before counting on a number.

All eight routesThe campaign

Sources. Occupation shares: US Bureau of Labor Statistics, Current Population Survey Table 11, 2025 annual averages, reproduced as published. Degree counts: National Center for Education Statistics, IPEDS, 2021–22; degree-share trend: National Science Foundation NCSES. High school access, participation and the earnings effect: Code.org Advocacy Coalition, State of Computer Science Education, and the underlying study, Liu, Conrad & Blazar, EdWorkingPaper 24-904 — which reports roughly 8% overall and a 10-to-14% range across subgroups including Black students, not a standalone 12%, and we say so rather than quoting the friendliest point in a range. AP exam composition: College Board via the Kapor Center, 2020. HBCU figures: UNCF Frederick D. Patterson Research Institute. Population and geography: Pew Research Center; rural poverty patterns: USDA Economic Research Service. County economic type and needs classifications: USDA ERS County Typology Codes; labour markets: 2020 Commuting Zones. County counts are computed from the committed county file at build time, not asserted.

Photographs on this campaign are licensed stock used as illustration — not portraits of the people inside the federal counts. Full credits: CREDITS.md.