Hey, what are your thoughts on going through the DS track at Yandex with the goal of landing a data scientist position in a competitive job market like San Francisco? Is this a realistic goal?
I have a bachelor's degree in a non-quantitative study. I recognize that job descriptions for data science, more often than not, stress their minimum requirements to be a Master's degree (PhD preferred) in a quantitative discipline like physics, math, statistics, etc. I feel this to be much more strictly enforced than compared to software engineering positions where you're much more likely to come across self-taught devs. I work on the product side and the data scientist attached to my team holds her M.S. in Statistics so that seems to hold up from everything I've observed. Essentially, I don't want to rush into studying and learning statistics/data science if the effort is futile or just not likely from the beginning.
Also does the job guarantee apply to students in the US? Or is that for Russian students? Does your program have any US employers as hiring partners?
It's even worse. Their iOS instructors are equally questionable.
Paul Solt - No industry iOS experience. At Apple for 3 months writing test code back in 2008. Internship at Microsoft in 2009 doing testing as well. Taught a college course on iOS/ObjC in 2012. Indie/freelance dev since then and now teaching iOS at Lambda. https://www.linkedin.com/in/paulsolt/
Andrew Madsen - "Director of Curriculum R&D" at Lambda now but originally came in to start up their iOS course and I hear he still steps in to lectures from time to time. Worked at a small Mac & iOS dev shop, https://mixedinkey.com 2011-2016, until he left to teach an iOS track at another bootcamp DevMountain. Independent developer since 2006-present.
https://www.linkedin.com/in/armadsen/
Ben Gohlke - Seems like he started iOS dev since 2010 and has hopped around between a couple tech companies all in the Florida area since then until 2015 when he went to teach iOS at another coding bootcamp, The Iron Yard. Now an iOS instructor at Lambda.
https://www.linkedin.com/in/bgohlke/
Spencer Curtis - No formal education (that's okay) or industry experience! His own sole experience comes from attending another bootcamp, DevMountain, for iOS back in 2016. He mentored for that same bootcamp until leaving to be an iOS instructor at Lambda.
https://www.linkedin.com/in/spencercolecurtis/
Dave DeLong - The sole notable iOS instructor they've had, who's left since then, is this guy. Worked iOS at Apple since 2010-17. Left to do iOS at Snap for a year. Taught at Lambda for what I believe was only a few months, definitely under a year, before now being principal iOS at WeWork. He also happens to be the only one of the above listed that doesn't publicize he's worked/contracted at Lambda on his LinkedIn profile lol.
Now if they could retain someone with Dave DeLong's industry experience, and top-level experience at that, then that would be great. As is, they have a lot of iOS indie-dev type evangelists, who are typically great people, but for the purposes of preparing their students for current big-N type iOS best practices & expectations of junior devs at those interviews, they really should bring on instructor talent with substantially more industry experience.
Also unsure about bootcamps offering data science tracks so freely. One of the top/well-connected DS "bootcamps", https://www.insightdatascience.com/, only admits candidates with a PhD. I don't work in DS, but my peers that do and their job postings seem to regularly emphasize a Master's or PhD education as a requirement.
I have a bachelor's degree in a non-quantitative study. I recognize that job descriptions for data science, more often than not, stress their minimum requirements to be a Master's degree (PhD preferred) in a quantitative discipline like physics, math, statistics, etc. I feel this to be much more strictly enforced than compared to software engineering positions where you're much more likely to come across self-taught devs. I work on the product side and the data scientist attached to my team holds her M.S. in Statistics so that seems to hold up from everything I've observed. Essentially, I don't want to rush into studying and learning statistics/data science if the effort is futile or just not likely from the beginning.
Also does the job guarantee apply to students in the US? Or is that for Russian students? Does your program have any US employers as hiring partners?