When you are approaching the end of the program, a career coach comes along with a bunch of more Jupyter notebooks about how to set up your resume, linkedIn profile, attend meetups, etc. It struck me as a little bit odd that one of the labs was exactly the same as it appeared in a website that I happened to land while searching more about that topic I’m not a lawyer but it got me thinking about where they source the materials from and how much of this is original content. All notebooks are on Github and they encourage you to open issues if you find them I found issues on every single notebook but as a full time student I really don’t want to spend time telling them about the issues they should have reviewed and updated before deploying the notebook. The instructor never reviews the labs and you don’t get a grade or an official statement about the outcome of your projects. The material was difficult to follow, they introduce new concepts and finish with “don’t worry you will learn more on this later”, so the topics shift back and fort. Oh, and don’t even think about joining campus communities if you happen to live close to one, the campus directors will treat you as an outsider-space invader. The admission process was fairly easy first, a video chat with someone from admissions and enrollments and then a technical interview, for this second interview they assume you have already gone through the preparation course, heads up: this is a free course open to anyone, and after you finished it they ask you to review it, so a lot of the reviews out there are from people who have NOT actually gone through the full program.ĭuring the program it really depends of the instructor and the cohort, in my case there was nothing about the community feeling that they advertise, the instructors are nice but don’t expect much individual help unless you ask in the slack channel. This is a review for the online Data Science bootcamp full time.
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