About the Data Science Bootcamp
Data science is experiencing explosive growth, fueled by the exponential increase in data generated daily. From healthcare records to website interactions, the ability to extract meaningful insights from this vast amount of information is a highly sought-after skill. Investing in data science education is a strategic career move, as the Bureau of Labor Statistics reports an expected 35% growth in employment between 2022-2032. This is much higher than the expected growth rate for all occupations of 3%.
The University of Arizona Continuing and Professional Education Data Science Bootcamp is a fully online program featuring a comprehensive 400+ hour curriculum centered around two hands-on capstone projects. You'll master the Data Science Method, a proven framework for successful data science projects. Throughout your journey, you'll receive personalized support from a 1-on-1 industry mentor, a dedicated advisor and career coaches to guide you toward success.
Our curriculum is divided into two parts to ensure a tailored learning experience:
Foundations: This preparatory phase covers essential data science concepts, including Python programming, to build a solid foundation for the core curriculum. You'll take a technical skills survey during the application process to determine your starting point.
Core: This is the bulk of the coursework. You'll have the option to choose one of three specialization tracks, allowing you to develop specialized skills that set you apart in the competitive job market.
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Data Science Careers
The Data Science Bootcamp can prepare you for a variety of related roles and specializations.
Data Scientist: $114,432
Data Science Manager: $97,500
Data Engineer: $108,544
Machine Learning Engineer: $147,968
Annual Median Advertised Salary. Source: Lightcast; Jun 2023 - May 2024; 0-3 years minimum experience required. Arizona.
Data Science Bootcamp Curriculum
Each unit of the Core material will cover a key data science concept and the skills associated with that concept. The units feature a mix of materials: projects, lectures, theory, coding exercises, reading/viewing exercises and career-related coursework.
The Data Science Method
The units center around the Data Science Method. This method involves six steps:
Problem identification
Data wrangling
Exploratory data analysis
Pre-processing and training data development
Modeling
Documentation
Specialization Areas
Within the core curriculum, you’ll be able to choose from one of three specialization tracks, where you can learn specialized skills to help you stand out from other data scientists.
The Generalist Track
This track will prepare you to take on versatile data science roles across a wide variety of business domains and geographical locations. You’ll build on the foundational skills you learned in the core units and tackle more advanced topics like working with Big Data and software engineering best practices.
The Business Insider Track
This track aims to teach you advanced data visualization and business analytics skills to extract actionable business insights. While you will have the ability to build predictive machine learning models, you'll primarily focus on learning how to identify insights and effectively communicate recommendations.
The Advanced Machine Learning Track
This track aims to teach you advanced machine learning skills and concepts, including deep learning and the deployment of machine learning models on standard industry platforms. If you want to broaden your machine learning skills, this track may be the right one for you.
Hands-On, Portfolio-Worthy Projects
In addition to small projects that help you reinforce technical concepts, you’ll complete two capstones which will be the cornerstone of your portfolio that you can show to hiring managers.
Capstone 1: Guided capstone
For this project, you’ll be given a lightweight introduction to each step of the Data Science Method. You’ll then be guided through each of those steps with helpful tips and instructions. This first capstone builds your foundational understanding of each of these critical steps while also allowing you to practice each step before applying your knowledge to your second capstone.
Capstone 2
This capstone takes place later in the bootcamp and has less guidance. You’ll be asked to:
Come up with a project idea and proposal
Find and wrangle data
Use exploratory data analysis techniques to understand that data
Pre-process and create a training dataset
Build a working model
Document and present your work
Fit Learning Into Your Life, With Industry Experts in Your Corner
Learn on your own time and study on your schedule. Stay on track with mentors and peers to keep you accountable.
Get dedicated 1:1 mentor support
Meet regularly with your personal mentor to receive feedback on projects, discuss blockers and refine your career strategy.
Build study plans that work for you
Complete the course sooner by putting in more hours per week.
Plan ahead with 1:1 career coach calls
Craft your design job search, practice interviews and negotiate offers.
Connect with our community
Get extra help from other mentors in our community, at no extra cost.
Meet Our Mentors
Build your skills faster and advance your personal growth with 1:1 mentorship.
Is This Data Science Bootcamp Right for You?
This bootcamp is designed for learners with proficiency in math and statistics, as well as English fluency.
During the application process, you’ll take a technical skills survey to determine your starting line.
Learners without prior coding experience with proficiency in math and statistics will be provided units that cover essential data science concepts, including Python, which you’ll need to succeed in the core curriculum.
Learners with prior experience in statistics and programming, such as software developers, analysts and finance professionals, will have access to the same introductory units, but they will be optional. You’ll be able to move right into the core curriculum.
FAQ
More Questions About the Program?
Schedule a call with our Enrollment Team by applying now or email Carolina, our Enrollment Advisor, to aid in your decision.