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We tested Le Wagon's job placement data (using graduate profiles on LinkedIn)

3 of Michael's comments in this thread · View thread on Reddit ↗

u/metalreflectslime wrote (the comment Michael replied to):

This is harder to do because most Codesmith graduates do not put "Codesmith" on their LinkedIn profiles.

u/michaelnovati replied ·
It's not as hard as it seems yeah and there are a number of ways, some easier than others. The OSPs for example,.you can monitor their repos and make a list of everyone contributing when and very easily identify every single person. There are also other sources that are harder to explain and not as obvious. You still can't confirm placements themselves but you could analyze how people represent themselves on LinkedIn. I did this and have a draft analysis I'll post when ready, the summary is that the average placed grad in the past 2idh months claimed almost 12 months of work experience at their 3.week long group project :(

u/metalreflectslime wrote (the comment Michael replied to):

>in the past 2idh months What does "2idh" mean?

u/michaelnovati replied ·
2ish, I'm on my phone and typing fast

u/ExpertCommunity2027 wrote (the comment Michael replied to):

We haven't, but I believe u/michaelnovati is about to release something similar for Codesmith. Anyone can do something similar for other bootcamps - and we'd actively encourage this.

u/michaelnovati replied · ★ FEATURED
Yeah I did analysis of how people present themselves on LinkedIn. Codesmith's placement numbers themselves in their CIRR are accurate. The numbers their senior advisor throws around are less so more like mischaracterizing. My data shows that the average recent Codesmith placement (reported job in past few months) claimed to have 11.7 months of experience on their LinkedIn from their 3 week group project. So while the outcomes themselves are good, people might be exaggerating or mischaracterizing their backgrounds to get there.