Jan 16, 2019

The Basics of Data Scientist Bootcamp

Data scientist bootcamps are intense but offer you a leg up in a rapidly growing industry. In these programs, you work on several projects that replicate the work you eventually do in the field. This gives you experiential training while you're learning the relevant theory at the same time. You work closely with classmates and make connections with other people in the data science field so that you can power ahead with your own career goals. Are you ready to take the next step towards becoming a data scientist? Here's a rundown of what a bootcamp offers.

How Long Does Data Science Training Take?

Data scientist training can take anywhere from a couple of months to a couple of years, depending on the path you take. Data scientist bootcamp is designed to give you the training, skills, and experience you need in a short amount of time. Bootcamps last about two to three months with flexible scheduling times. Self-taught courses take longer because you have to navigate through the material on your own and don't have the ability to ask questions. Masters programs in data science take the longest, with some programs taking multiple years to complete.

Prerequisite Requirements

Having a bachelor's degree is a plus when it comes to getting into a data scientist bootcamp, but it's not always required. If you have a strong background in math, computer science, and programming for data science, then you can likely hold your own in a bootcamp. Many people who participate in a date science bootcamp already have a career in a related field and are looking to switch or accelerate their careers. Having relevant work experience is often enough to qualify for a spot in bootcamp.

How Often Are Bootcamps Available?

Whether you're taking data science classes in NYC or online, bootcamps are available several times throughout the year. Whereas other programs typically start at specific times during the year, you can find more flexibility in when data scientist bootcamps take place. Slots are limited to ensure that bootcamps don't get too large. If one fills up, it won't be long before you can join another.

Hunting for a Job as a Data Scientist

The main reason to take part in a data science or data analytics boot camp is to further your career. No matter if it's with a new company or advancing in your current company, the goal is to take on new challenges and responsibilities. The hands-on experience in your bootcamp helps you build a portfolio that you can use when approaching potential employers. You also get practice working on your interview skills and building your professional brand. Graduates are connected with world-class hiring partners to find exciting new opportunities. If you opt for a self-taught course, then you're on your own when it comes to networking and finding a job.

Browse the Udacity Catalog to learn how you can get the skills and training you need for a career as a data scientist.