![]() But if you approach it with the seriousness of a bootcamp and commit at least 15 to 20 hours a week to your studies, you might be surprised by how fast you can progress!įor example, here’s the story of one student who went from having zero relevant experience to working as a full-time data engineer in less than six months:Ĭurriculum that teaches what you’ll actually use Of course, we offer a flexible, work-at-your-own-pace approach. The idea is that if you can commit three months, by the end of the program you’ll have the basic skills you need for data science employment.ĭataquest can work the same way, if that’s what you want. Data science bootcamps train different skills, of course, but the idea is the same. Offline data science bootcamps borrow their name from military “bootcamps,” intensive training camps designed to get new soldiers up to speed over a short period of time. Speed like a bootcamp, but with flexibility There’s no application process, no waiting, and no prerequisites. You can sign up and be on our platform writing your first code in less than five minutes. Online bootcamps like Dataquest, in contrast, are easy. Some even require or prefer advanced degrees in relevant disciplines! For example, the NYC Data Science Academy says that it prefers “individuals with master’s degrees or Ph.D.s in Science, Technology, Engineering or Mathematics” and that learners with no prior background should apply six weeks early to allow time for pre-work. Depending on the data science program you picked, you may also have to book travel and lodging.Īlso, many traditional bootcamps do requre some online pre-work or have skill-based prerequisites you’ll need to fulfill before attending. That means they have an application process that’ll require you to fill out and submit forms, wait to find out whether you’ve been accepted, and then wait some more for the actual program’s start date. Traditional bootcamps tend to operate like schools. ![]()
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