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Dive into the world of Data Science, data modeling, machine learning, and more in this advanced Deep Dive Coding Bootcamp. You will learn to solve critical business problems within your domain of expertise with new skills in Python programming, modeling, and data analysis. Students will work on labs and projects to build and maintain data models. Graduates will be able to design and implement a real-world model producing actionable information.
Data science and AI skills have been identified by the World Economic Forum as an emerging prospect in the future of work, with the number of job opportunities in this field expected to grow by 450,000 from 2020-2022. Glassdoor estimates that Data Scientists are well compensated, with an average salary in Albuquerque of $75-$125K, and up to $140K nationwide.
Learn the Technology
We’ll teach you the languages, tools, and techniques you’ll be using as a data scientists in the real world. This bootcamp focuses on…
Laptop
It’s
expected that our students use their own laptop in this bootcamp, with an
operating system of Windows 10OS or Mac 10.13 or above. Webcams and microphones
are required if not built into the laptop. Internet access with a minimum of
3.8Mpbs/3.0Mbps (up/down) is also required. Limited loaners are
available. Contact us for questions about loaners or
whether your computer meets our minimum specs.
June 2021
Dates: June 7 – August 27
Registration Closed
September 2021
Dates: September 27 – December 17
Application Deadline: August 27, 2021
January 2022
Dates: January 24 – April 15
Application Deadline: December 3, 2021
May 2022
Dates: May 23 – August 12
Application Deadline: April 15, 2022
September 2022
Dates: September 29 – December 9
Application Deadline: August 12, 2022
Pre-bootcamp (before the program starts)
Pre-work will be assigned to you before the bootcamp starts. All the resources used in the pre-work are accessible online or will be provided to you. During pre-work, you will set up your system accounts, meet with the Bootcamp Success Manager, prep your software environment, work through multiple tutorials on DataCamp*, and will make other final preparations. Pre-work is mandatory and must be completed prior to orientation, which is generally a few days before bootcamp begins. The sooner you start and the more time you spend on your pre-work, the more prepared you’ll be. We recommend that you give yourself at least a month to complete this work prior to the start of the bootcamp.
*This class is supported by DataCamp, the most intuitive learning platform for data science. Learn R, Python and SQL the way you learn best through a combination of short expert videos and hands-on-the-keyboard exercises. Take over 100+ courses by expert instructors on topics such as importing data, data visualization or machine learning and learn faster through immediate and personalized feedback on every exercise.
Data Science Fundamentals (Weeks 1-4)
Statistical and Machine Learning (Weeks 5-9)
Capstone Project (Weeks 10-12)
Full-time, Immersive Schedule
Pre-requisites
These resources can help you review for the assessments:
Probability/Statistics: Link
Linear Algebra: Link – Andrew Ng – Lectures 3.1-3.6
Some exceptions to pre-reqs can be made. Apply if you’re interested, and we can discuss.
The total bootcamp tuition is $9,995.
Participants receiving third-party funding may not have to pay a deposit or any tuition. Learn more about financial assistance and the payment process for the bootcamp. *Prices subject to change.
Reserve Your Seat Now: A $1,500 non-refundable deposit is required prior to the application deadline in order to reserve your seat. The remaining course fees must be paid in full by the application deadline.
"The Data Science bootcamp lived up to the Deep Dive Coding mantra of intense and immersive work. At the end of your bootcamp experience you gain a technical and tactical understanding of what it really means to be a data scientist!"
“I can't say enough good things about this bootcamp. It would be hard to best this program with quality of instructors, course material, and student support. Highly recommended and worth every dollar.”
Nevin is an experienced statistician with a passion for teaching. After receiving her B.S. degree in Finance from the University of Arizona, Nevin started a private tutoring company where she worked with students in the areas of mathematics and statistics. She then went on to receive her M.S. degree in Statistics from the University of New Mexico and she joined Sandia National Laboratories as an R&D statistician. At Sandia, Nevin collaborated on a wide range of projects that included work in machine learning, data visualization and modeling, and uncertainty quantification of computer simulations. Additionally, Nevin had the privilege of combining her love of coding and data science by developing and teaching the first Introduction to R statistical programming course at Sandia.
Kyla developed her passion for teaching while working as a math and science tutor in college. She went on to spend 12 years working in many different roles at a GIS software company. Looking to add to her skills and interested in trying something new, she took Deep Dive’s Fullstack Web Development Bootcamp in 2019. When Deep Dive announced a new Data Science Bootcamp, she jumped at the opportunity to combine her interests in teaching, coding and math as an assistant instructor. Kyla has an Associate’s degree in General Science from San Juan Community College in Farmington and a Bachelor’s degree in Mathematics from New Mexico Tech in Socorro. She likes mountain biking, baking bread and going over the ABC’s of web development with her young son.
After you have completed this bootcamp, you will receive a certificate of completion, not a degree. You can receive Credit for Prior Learning (CPL) from Central New Mexico Community College (CNM) if you do decide to later pursue a degree, getting free credit for classes that are similar to what you learned in the bootcamp. Learn more about non-credit to credit CPL at CNM.
