Two students learning about Python programming, data modeling, and data science at their Deep Dive Data Science bootcamp.

Data Science

What You’ll Learn

In Deep Dive’s Data Science bootcamp, you will learn to solve critical technology problems with new skills in Python programming, data modeling, and data analysis. We’ll teach you the languages, tools, and techniques you’ll be using as a data scientist in the real world.

Our experienced instructors will provide a space for you to work on labs and projects to build and maintain data models. As a graduate, you will be able to design and implement a real-world model that produces actionable information.

Highlights

Requirements

There are no prerequisites for the Data Science bootcamp; however, we recommend the following:

  • 2-5 years of experience with researching and writing content, presenting research to peers, or validating data models.
  • Experience applying statistical concepts, probability distributions, and linear algebra.
  • Coding experience, specifically Python programming

Meet Your Data Science Instructor

Headshot of Robert Citek, Data Science instructor at Deep Dive

Robert Citek, M.S

Robert Citek has over 25 years of experience in biotech, healthcare, and research, focusing primarily in bioinformatics. Robert is passionate about sharing his knowledge and expertise with students and helping them to develop the skills they need to succeed in the rapidly evolving world of data science.

What Our Graduates Say

“If you are considering the Data Science bootcamp, I highly recommend it. The program will push you to your limits but leave you with the confidence and know-how to redirect your life and open new doors in tech. The team is there to support you every step of the way; we forged lifetime friendships in our time together. If you have the time to commit, I say go for it!”

— Lauren L.

Career Readiness

As a full-time bootcamp learner, you will have access to Career Readiness services from our Deep Dive Student Support staff, including: 

  • Durable soft skill building lessons  
  • Resume and portfolio feedback 
  • Job search techniques 
  • Technical interview preparation 
  • Technical networking practice  
  • HireCNM resources 

Credit for Prior Learning

If you have received training or performed related work experience, you may qualify for credits. Visit CNM’s Credit for Prior Learning page for more information.