Bellevue, Washington (January 11, 2023) – The following statement was released today by Data Science Dojo, through its Marketing Manager Nathan Piccini, in response to questions about future in-person bootcamps:
Nothing can compare to Michael Jordan’s announcement in 1995 that he was returning to the NBA, but for Data Science Dojo (DSD), this comes close.
In 2020, we had to move our in-person Data Science Bootcamp curriculum to an online format. Doing this allowed us to continue teaching and helping working professionals grow their skill sets and careers. We will continue to provide all our courses in part-time, online formats, but we’re bringing back an old friend.
We are excited to announce that we will be hosting our first in-person data science Bootcamp (since 2020) this March in Seattle! If you joined Data Science Dojo’s community during or after the COVID pandemic, you may have some questions about how it works, whether can you really learn data science in 5 days, why is DSD comparing itself to MJ…I can’t explain the part about MJ other than I thought it would be fun, but I can explain how in-person bootcamps work at DSD.
How it works
In-person bootcamps at Data Science Dojo are a little different than what you’ve seen on the market. Typically, in-person data science bootcamps are full-time, multiple weeks (I’ve seen as many as 24), and cost you an arm and a leg. Our in-person bootcamp cuts through the fluff so that you’re applying concepts and techniques back at work in only five days, rather than weeks, without sacrificing any limbs.
- 5 days
- 10 hours per day
- Industry expert instructors
- Hands-on, practical exercises
- Post-bootcamp supplemental learning
Similar to our online format, we provide pre-bootcamp coursework to help our students prepare. These tutorials include topics like R & Python programming, data mining, and Azure ML (Machine Learning). These are important for our students to complete to be successful during the bootcamp.
Learn Data Science with a “Think-Business-First” Approach: Hands-on Activities and Real-World Applications in our Bootcamp Class
When the bootcamp starts, you’re in class! You’ll have live instructors and TAs working with you to help you learn these complex topics. During class, we use a mix of conceptual learning and hands-on activities to drive a “think-business-first” approach to data science and instill a foundation for critical thinking. Our goal is that our students can immediately start applying what they learn in the real world, and we have a plethora of use cases, extra practice material, and live coding notebooks to ramp up our students’ abilities.
After each class period, you will have homework to reinforce your learning and prepare you for the next day. You will also work on an in-class Kaggle competition to compete with your peers for prizes, but more importantly, bragging rights.
At the end of the 5th day, you’ll graduate from the program and become a Data Science Dojo alum. You’ll receive a verified certificate in association with the University of New Mexico, be invited to join DSD’s alumni group, and take your lessons back to work to start solving problems with a new data science skillset. Just because the bootcamp ends, doesn’t mean your education does. We provide post-bootcamp tutorials for our alumni to continue their data science education.
These include topics on NLP (Natural Language Processing), neural networks, and other more advanced techniques we don’t have time to cover during the bootcamp.
Get more information on our in-person data science bootcamp
This is a lot to learn in one blog post, and I’ve done my best to try to make it as simple as possible. If you’re interested in solving problems with data and want to attend a fast-paced, in-person program, I encourage you to schedule a call with one of Data Science Dojo’s advisors. With our expert instructors, hands-on practical exercises, and post-bootcamp tutorials, you’ll be on your way to becoming a data science pro in no time. Don’t miss this opportunity to take your career to the next level!