![]() ![]() In order to succeed in the bootcamp, students should ideally have worked in both R and Python, as well as be comfortable with basic concepts in linear algebra, calculus, and statistics. ![]() You’ll have time to complete the prework:.In addition, according to NYC Data Science Academy’s admissions team, students who applied 6-8 weeks prior to the start date had a better chance of being accepted compared to those who apply close to the start date. You’ll have a better chance of succeeding:Īn evaluation of NYC Data Science Academy’s 500+ data science bootcamp enrollments from 2015 to 2019 revealed that students who applied for at least 4 weeks before the start date performed better on assignments and group projects, and were more likely to get a job.Investing time in comparing bootcamps and reviewing student outcome data will help you make the best choice. You may even be able to attend a few info sessions or course demos to acquaint yourself with the teaching style and curriculum. ![]() Starting the application process early will give you time to visit the campuses, meet alumni or current students, and research past student projects. You’ll be able to make an educated decision about which program to choose:.Here are just a few reasons why you might want to reconsider procrastinating on your application: So, how do you decide? It turns out there are some important benefits to applying early. Should you apply now? It might be easy to put off the application process until a later date. The application deadlines aren’t for another month. So you’ve decided you want to enroll in a data science bootcamp. ![]()
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