The Unfair Way I Got Good at SQL

17 Jun 2026 · 10 min
10:12

In this video, data career coach Kedisha Bryan explains why conventional SQL learning methods—long courses, endless LeetCode problems, and tutorial‑driven practice—don’t translate to success in technical interviews. After failing a mock interview with an Amazon hiring manager, she realized the gap between using SQL in a development environment and solving interview‑style problems. She introduces the "whiteboard method," a three‑part practice framework designed to mimic interview conditions: (1) a "no‑fly zone" where no editor, autocomplete, or AI assistance is allowed; (2) vocalizing your thought process aloud to simulate the interview dialogue; and (3) drafting a plain‑language pseudocode skeleton before writing actual SQL syntax. By separating logical reasoning from syntax, learners can internalize SQL thinking rather than rely on surface‑level recognition. Kedisha argues that practicing under these constraints builds the mental models needed to ace any SQL interview, much like training with weighted gear improves cycling performance. She also addresses the misconception that AI can replace this skill, emphasizing that without a solid logical foundation, AI tools are ineffective. To cement the habit, she proposes a 30‑day challenge where viewers create and solve their own whiteboard SQL problems, optionally using AI for generation and grading. The video concludes with a call to action, inviting viewers to comment, connect on LinkedIn, and consider her coaching services for landing a data analyst role within four months.

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