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Galvanize is an education company that offers software engineering bootcamps under its Hack Reactor by Galvanize brand name. Galvanize offers programs for rapid career transformation, designed so that anyone with motivation can succeed, regardless of education, experience, or background. Please visit the Hack Reactor page on Course Report here to learn more about these bootcamps.
Galvanize also offers Enterprise training designed to rapidly upskill and reskill employees at any level, helping companies develop internal tech capabilities, broadening workforce representation, and empowering the workforce of the future.
Galvanize has long been committed to upskilling and reskilling the U.S. military. They equip active duty service members and Veterans with in-demand technical skills, empowering them to succeed in competitive, high-paying civilian careers in software development, data analytics, and cybersecurity.
Galvanize granted me contacts and the technical edge necessary to land a data science job within a week of graduation.
Galvanize has a very jobs oriented approach towards their data science immersive. The curriculum is structured such that if you follow it well and apply yourself, sometimes going beyond what is simply required, you can develop a functional understanding of the language of data science, targetting knowledge relevant to employment. This grants the toolset necessary t...
Galvanize granted me contacts and the technical edge necessary to land a data science job within a week of graduation.
Galvanize has a very jobs oriented approach towards their data science immersive. The curriculum is structured such that if you follow it well and apply yourself, sometimes going beyond what is simply required, you can develop a functional understanding of the language of data science, targetting knowledge relevant to employment. This grants the toolset necessary to converse and work in almost any context where data science is used, from classification and regression algorithms to natural language processing and recommendation systems, and everything inbetween. Due to the sheer volume of material covered, the course moves quickly. If you keep up with the pace, likely through either hard work or prior knowledge, you can gain significant insight into the various fields of data science. That said, their curriculum is tailored towards employment rather than pure knowledge, for better and worse. For instance, in the Phoenix Galvanize Data Science immersive I took, neural networks were not explained in the coursework (though the instructors were happy to teach me about them when I asked anyways) because local employers don't use neural nets much. In this way, Galvanize's coursework provides a tool custom built to grant the skills necessary for employment in the local job space.
As a personal example, Galvanize granted a large scale overview of the various concepts of data science such that I could hold a conversation with people at any level of experience on them. The was relevant towards impressing people while networking that I was knowledgeable, and having intelligent conversations in interviews.
In addition to its coursework, Galvanize has projects purposefully built to teach employable skills and make connections. Every student does a capstone project which is done with real world data, and often real world connections. This provides an excellent opportunity to develop skills for a resume, and also to develop connections and leads on jobs. They also provide interview preparation, resume building assistance, mock technical and personal interviews, networking events, and personalized job search assistance.
As a personal example, after a guest speaker came to talk about data science in their field, the instructors mentioned that they were looking for capstone projects. The speaker gave them ideas for projects that he was interested in based on data their company had, and I ultimately chose one of those projects as my capstone. This put me directly in contact with a potential employer, doing data science for them. Using the tools Galvanize had equiped me with, especially those related towards data manipulation and visualization, I was able to impress them such that they hired me prior to my graduation. In addition to getting an opportunity to become a data scientist, I've found that the toolset that Galvanize equiped me with allows me to use bleeding edge technology to manipulate data, providing assistance to data scientists decades my senior.
Ultimately, if you're looking to get into the data science field, I am hard pressed to imagine a better opportunity than what Galvanize has with it's Data Science Immersive program. It provides the technical skills relevant to success, the contacts to impress people, and the assistance to help you along the way there.
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Full-time apprenticeship, internship or contract position | N/A |
Short-term contract, part-time position, freelance | N/A |
Employed out-of-field | N/A |
How much does Galvanize cost?
Galvanize costs around $19,480.
What courses does Galvanize teach?
Galvanize offers courses like 12-Week Software Engineering Online Immersive, 19-Week Software Engineering Immersive with JavaScript & Python.
Where does Galvanize have campuses?
Galvanize teaches students Online in a remote classroom.
Is Galvanize worth it?
The data says yes! In 2022, Galvanize reported a 100% graduation rate, a median salary of $95,000, and N/A of Galvanize alumni are employed.
Is Galvanize legit?
We let alumni answer that question. 216 Galvanize alumni, students, and applicants have reviewed Galvanize and rate their overall experience a 4.5 out of 5.
Does Galvanize offer scholarships or accept the GI Bill?
Yes, Galvanize accepts the GI Bill!
Can I read Galvanize reviews?
You can read 216 reviews of Galvanize on Course Report! Galvanize alumni, students, and applicants have reviewed Galvanize and rate their overall experience a 4.5 out of 5.
Is Galvanize accredited?
While bootcamps must be approved to operate, accreditation is relatively rare. Galvanize doesn't yet share information about their accreditation status.
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