Interview Query is the most ambitious of the data science interview platforms in this cluster, because it tries to cover the entire loop rather than specialising in one slice of it. Where StrataScratch and DataLemur lean heavily on SQL and coding practice, Interview Query spreads across SQL, probability and statistics, machine learning theory and system design, product and case questions, take home projects, and even mock interviews, and it wraps a lot of this in structured learning paths that give it more of a taught, guided feel. For someone in the thick of a data science or machine learning job hunt who wants a single subscription that covers every kind of question an interviewer might throw, that breadth has real appeal, and the company specific preparation guides are a nice touch for anyone targeting a particular employer. The honest tension with this platform is value for money.
It runs on a subscription, and while an annual plan softens the monthly figure, the cost is meaningful, so the smart move is to subscribe only when you are genuinely ready to interview rather than months ahead when you are still learning fundamentals. The depth is also uneven across topics, some sections are genuinely strong and clearly written while others feel lighter than a paid product should be, and if your only need is SQL then paying a monthly fee here makes little sense when DataLemur gives you most of that for free. My view is that Interview Query is the right choice for a specific person, the active candidate who values having everything in one place and who will use it intensively over a short, focused search. Used that way, over a month or two of serious preparation, it can justify its price.
Bought early and left idle, it becomes an expensive subscription you barely touch, so time your purchase to your actual interview calendar.