Free coding bootcamps bay area
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I came to Metis with a master’s in Stats and a background in financial services. – The curriculum is constantly under development (which is good!), but that meant that there were occasional inconsistencies, like programming challenges that didn’t always exactly relate to what we were covering that week. For example, you’ll learn the basic theory of deep learning and neural networks, but they don’t spend that much time on it, because companies don’t really hire boot camp grads to build deep learning systems. – The focus on preparing for a job means that some interesting topics aren’t covered in as much depth. – The rapid pace means that all of my projects felt (to me, at least) a little unfinished – there was always some more I wanted to do, but the presentation deadline always hit so fast! I feel like I could have done one less project if it meant more time to work on the others. – Tons of extra material available if you want to dive deeper into any particular topic that interests you. I learned a lot just from finding out what other students were doing. – The challenging application process means that all of my peers were very smart cookies. (I received and accepted a great offer exactly a month after graduating, from a company that saw me present at Career Night.)
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They really, really want you to get a job. – Excellent career support – LinkedIn and resume workshops, mock interviews and whiteboarding practice, great alumni network, and unlimited post-graduation support. Two to three weeks of project work needs to be condensed into a four-minute presentation, which is tough! At the beginning of the program I thought I hated presenting slide decks, but after five chances to get better at it, I actually really enjoy it. At the end of the program I had a real portfolio of stuff I was proud of, not just a list of skills. I could work on stuff that actually interested me and I had real ownership of the product.
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– I loved the project-based curriculum, where I had to do everything yourself: pick a topic, find the data, plan everything out, build a model, make it better, figure out how to present it. They know both the theory and the practice of the material they’re teaching, and they were always happy to help me work through some weird problem or just figure out what to do next. I was looking for a fast-paced, in-person way to transition from a job in survey research and data analysis to a more coding- and ML-focused data science career, and it absolutely delivered. But overall I would ABSOLUTELY recommend Metis and, in particular, this class prior to applying for the Bootcamp. Also, if you may be unsure if data science is the field for you, this class might be a good starting point to see how well you connect/reconnect with the material. I really liked the use of Zoom to create a live classroom-like feel as well as access to the teacher and TA outside of class time via Slack. So in addition to assistance with the coursework material, these individuals also provide insight into the field and what a day in the life of a data scientist actually looks like. Each class is paired with a teacher and a TA who are active practitioners in the field of data science. This particular course is an accelerated, but comprehensive dive into all the basics needed to do well in the application process. It had been some time since I have dealt with the mathematical and programmatic concepts required to excel in Metis’ Bootcamp, so this class was the perfect refresher for me. I took the Metis online Beginner Python and Math for Data Science course to prepare myself for Metis’ Data Science Bootcamp application.