Thinkful Online Data Science 68.8% | $70,500 Launch Academy 72.2% | $70,000 Codesmith NYC 80.6% | $112,500 Codesmith LA 81.6% | $106,580 cite: <https://cirr.org/data >
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Here are real metrics comparing boot camps (% of graduates with full-time employment 180 days after completion | median salary) Bloc Online Designer 51.7% | $70,000 Hack Reactor SF 57.7% | $109,000 Bloc Web Dev 62.3% | $57,500 Lambda 62.5% | $60,000
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Thanks. Twitter will use this to make your timeline better. UndoUndo
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Wait if you are not a lambda school cheerleader are you even allowed to be on Twitter? I thought those were the rules...
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It’s disgraceful for a VC to speak poorly of a start-up in public, but it’s such a good example of everything that is structurally wrong with our industry. And now I shall never speak of it again, so I don’t become a raving maniac, and also, I have better companies to attend to.
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So wait all VC’s must be cheerleaders for every startup that exists? Theranos included?
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Our firm was an early raving maniac on Theranos too via
@datarade who developed a DD technique just to prove that it was complete bullshit that we still use to this day. (For the record, we never looked at it. But we will sometimes do "public" DD when we become raving maniacs.)
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My understanding...and I could be wrong is that Lamda is free until you get a job w the skills you learned. So unless those other programs aren’t charging up front this is a bit of apples and oranges. The removal of the risk of it not working seems like a pretty big deal to me.
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I don't think Lamda is a "boot camp" in the tradition sense. It's 9 months, it's full time and costs nothing unless the graduate starts making real money. I agree with you.
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Pretty much all the options offer a money back guarantee or some option that similarly removes some element of risk.
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I have no idea what Lambda is but from cashflow perspective, there is a huuuge difference between "you pay after getting a job" and "you have to find money now and then we can do money back"
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So true
@ducha_aiki . The policy "if it doesn't work out, you might only owe 20-60% of your loan" isn't the same vote of confidence as "follow our process, and you'll only pay if you succeed by getting an industry job over $50k/yr" This is a big difference for most folks.
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Super interesting; tweets about lambda grads would lead one to think otherwise. I wonder how they do relative to CoL for those not seeking work in a tech hub.
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There are absolutely success stories, but when I was looking into the boot camp market you heard similar student success stories about pretty much every boot camp.
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I'm in digital health — and furthermore, based on the norms of our industry, longitudinal data is better. How well do grads do over two years at their job? What's the attrition rate?
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The bottom line is that Silicon Valley VCs as people and as a proxy/custodian for capital seeking a return value both game-changing effective products and services and the ability to sell and market adequate or just-ok products at scale
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So what are the numbers for
@GA? Currently enrolled in the front end dev boot camp? -
Ask them! And never trust a boot camp that won’t tell you. But there are also serious issues with the data.
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@DiscoverPraxis kicking some ass. No ISA, participant cost is only CoL for 6 months. 90% employment. 85% grad rate. $48.5k median for non techies. Avg age 20.Thanks. Twitter will use this to make your timeline better. UndoUndo
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Does anyone have the same data for people with CS college degree?
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I'd also be interested to know the number of CS grads included in this statistic.
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Can someone please explain to me what makes codesmith and Hackreactor clearly stand out? Is it in their curriculum/syllabus or strategy? What exactly is it? I'm guessing their graduates are better equipped so I'd like to know how. Thanks.
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It’s because they only accept people that have a very strong base in programming. (At least Hack Reactor, I am not as familiar with the Codesmith admissions process)
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Have been through the hack reactor admission process. Can speak to the generation a few years back.
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Also, these stats are just wrong - for Lambda at least. If they come from the CIRR report that Sarah Mentioned that is.
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