Job Description
They offer a 13-week full time and 26-week part time data science boot camp in Austin, Boulder, Denver, Phoenix, Los Angeles, San Francisco, Seattle, and New York City. The data science camp covers Python, SQL, and Hadoop. The software engineering camp covers full stack JavaScript including Node.js, Express.js, and AngulaJS.
Candidates need to submit their application at least 6 weeks before the course beginning date so they have enough time to complete the admission process. Students should ideally also have experience in Python programming, math, probability and statistics for doing the data science immersive course. For software engineering courses, students should learn the basics of CSS, HTML, and JavaScript and need to show the admission staff that they can solve problems like an engineer during their technical round.
Galvanize puts learning and working side by side and aims at teaching students the concepts and skills they need to make an impact in a new job, and improve their skills as well. They also offer short term courses and workshops.
| Rating Criteria | Ratings | |
| Student to Teacher Ratio | 26:1 | 3 |
| Placement Rate | 83% | 4.5 |
| Number of years in the business | 8 years | 5 |
| Total Average Rating | 4.16/5 |
Courses
Data Science Immersive
(Data Science, SQL, Python)
Cost – $17,980
This is a 13 week course where you learn the tools, fundamentals and techniques you need to make an impact as a data scientist. You will work through messy, real world data sets to gain experience throughout the course.
Getting in: Prior experience in coding Python, stats and math is necessary so you can take part in prep course before pursuing this program
Software Engineering Immersive
(AngularJS, HTML, JavaScript, CSS, React.js, Front End, SQL)
Cost – $17,980
This program goes beyond teaching most in demand technologies. The industry tested software engineering curriculum emphasizes on teaching soft skills and also brings together cutting-edge tech like ES6, React and block chain. You will be prepared to understand new tech languages, frameworks and libraries after completion of this program.