{"id":6309,"date":"2019-09-09T13:45:23","date_gmt":"2019-09-09T13:45:23","guid":{"rendered":"https:\/\/careerkarma.com\/blog\/?p=6309"},"modified":"2021-10-16T07:37:18","modified_gmt":"2021-10-16T14:37:18","slug":"galvanize-data-science-review","status":"publish","type":"post","link":"https:\/\/careerkarma.com\/blog\/galvanize-data-science-review\/","title":{"rendered":"Galvanize Data Science Immersive Bootcamp Review"},"content":{"rendered":"\n

Over the course of the past decade or so, we\u2019ve witnessed the explosive rise of an entirely new paradigm in education. Sitting between the typical pathways of \u2018learning it all on your own\u2019 and \u2018shelling out for a four-year degree\u2019, coding bootcamps<\/a> are ideal for students on a continuum from recent college graduates to 50-year-olds looking to make a career change. 
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The attraction of the bootcamp approach is that it provides the sort of crucial structure usually missing from self-learning efforts as well as an expediency and job-preparedness noticeably absent from the university system. 
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There are tradeoffs, to be sure. But the popularity of bootcamps is a testament to how well they can work for ambitious, hard-working attendees. 
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We\u2019ve also seen a proliferation of new subjects covered by bootcamps. Once the domain of aspiring web developers, there are now bootcamps devoted to data science, UX\/UI design, software engineering, and even a few focusing on building applications for the blockchain.
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Galvanize has emerged as a major player, ranking alongside App Academy<\/a>, Lambda School<\/a>, and Thinkful<\/a>. With a rigorous program, qualified instructors, and compelling statistics on job placement rates and graduate salaries, there are lots of prospective attendees vying for a spot. 
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If you\u2019ve been researching bootcamps, you\u2019ve no doubt come across Galvanize, and you might have some questions about what you can expect. I\u2019m here to give you an insider\u2019s perspective by relaying my experiences at the Galvanize Data Science Immersive in Denver, which I attended from September to December of 2018. 
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I\u2019m going to focus on my program and my personal experiences in this article. But you should be aware that there are Galvanize campuses in other states, and that Galvanize has other programs, such as software engineering and web development. 
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The impression I have is that the various components are pretty well integrated. The instructors talk to each other, they mostly draw from the exact same curriculum, and so on. So while I have no firsthand knowledge of how things are done at the other locations, I also have no reason to think what I\u2019m writing here is atypical.
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An Overview of The Program<\/strong><\/h2>\n\n\n\n
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The Galvanize program is as challenging as it is rewarding. 
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The Galvanize Data Science Immersive (\u2018DSI\u2019, hereafter) is a full-time program that has you learning data science approximately eight hours a day, five days a week, for three months. If, like me, you have essentially no technical background, you\u2019re likely to be spending quite a lot of extra time preparing and going over the material, so it winds up being more like 12 hours a day and seven days a week.
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Galvanize is well-known for nurturing contacts in industry, so their curriculum is dynamic and constantly changing in response to what practicing data scientists are saying they look for in a graduate. Nevertheless, there\u2019s still a broad structure which is consistent over time. 
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High-Level Structure
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When my cohort passed through the DSI, it was broken up into three parts, each four weeks long: <\/p>\n\n\n\n