Includes:
• Python, AI, Object-Oriented Programming, and more
For those who want to:
• Learn the skills needed to launch a Data Science career
• Learn the essentials of probability and statistics for data analysis and visualization
• Understand the fundamental concepts of machine learning
Potential career paths
Data Engineers
Data Engineers are responsible for constructing and maintaining data pipelines, as well as the performance of both batch or real-time processing on gathered and stored data.
Business Analyst
Business Analysts examine and inspect business processes and discover solutions to improve efficiencies and performances.
Data Analyst
A data analyst collects and cleans data to uncover patterns and trends. They present findings to inform strategic decision-making.
Machine Learning Engineer
Machine Learning Engineers are responsible for the creation of data funnels and the discovery and delivery of software solutions. In addition, they have to ensure the functionality and performance of the systems.
Applications
Architect
Applications Architects both design and track the behaviour of applications used within a business. They also have to monitor how each application interacts with other applications and the users thereof.
Business Intelligence Developer
As a BI developer, you'll design and curate strategies that aim to assist businesses in finding information to support business decisions.
Get in touch
Let us know how we can help
Email: arizonastateuniversity@hyperiondev.com
Telephone: +1 480-770-0363
Contact admissions
Arizona State University is partnering with online education provider HyperionDev to offer a portfolio of high impact outcomes-oriented online learning programs. These programs are provided by HyperionDev and quality assured by Arizona State University to leverage their thought leadership in technical practice developed over decades of expertise.
Successful participants work at some of the biggest tech companies in the world
Find out more
Submit your contact details below to register your interest and to receive more detailed bootcamp information over e-mail.
Hear from our past participants
Meet Alexandra
a data science enthusiast based in London
Alexandra transitioned from studying politics and international relations to pursuing her passion for data science through the Data Science bootcamp. She credits the flexible curriculum, supportive lecturers, and career coaching for helping her balance work and studies, ultimately leading to a job offer from an e-commerce startup. Her advice? Embrace the challenges of learning new skills—there’s a place for everyone in tech.
Watch this video to learn more about Alexandra’s journey.
Gain practical coding experience in Python and beyond
At Arizona State University, we believe in the power of opportunity and the potential of every learner. The tech industry is evolving rapidly, creating new opportunities for growth and impact. By transitioning to a tech career, you’re not just learning new skills—you’re stepping into a field that drives innovation, problem-solving and social transformation. ASU’s coding bootcamp provides the training you need to thrive in today’s job market while joining an inclusive community that values diversity and measures success by the achievements of every student. Create your future with ASU and make your mark in tech.
Flexible payment plans available
Upgrade your skills and raise your salary potential
Funding
options available
No previous coding experience required
What you’ll learn
The data science bootcamp is structured to allow you to start coding as soon as possible. Tasks are designed to teach you the theory needed to develop your skills, and give you the opportunity to practice implementing your newly acquired Python, and machine learning knowledge by completing practical activities.
Level 1 | Python for Data Science
Level 2 | Data Science basics
Level 3 | Machine Learning & AI
Level 4 | 90-day post-bootcamp program
01 Introduction to Python
Get acquainted with the basics of Python, a powerful and popular programming language used extensively by data scientists.
02 Variables and control structures
Learning the fundamentals of writing code in Python, including storing and manipulating data, making decisions, and iterating over sequences.
03 Data structures - lists and dictionaries
Learn how to use two essential data structures, lists and dictionaries,
to organize and store data in your programs.
04 Functions
Learn how to define and call functions that accept parameters and return values. As a data scientist, you’ll often define functions to solve problems that data poses to you.
05 Capstone projects (1)
Put everything you’ve learned about working with files to the test.
Build a system that reads from and writes to text files.
Bootcamp duration
3-6 Months
Next cohort
Experience required
None
Flexible study options
Duration:
Time commitment:
Review time:
Support:
Full-time
3 Months
40 hours per week
Code review and feedback within 36 hours on weekdays
Personalized job search assistance, resume reviews, and interview prep.
Part-time
6 Months
10-20 hours per week
Code review and feedback within 48 hours on weekdays
Personalized job search assistance, resume reviews, and interview prep.
A life-changing experience
88%
Employment rate*
178%
Salary growth*
86%
Tech industry transition*
13,000+
Learner population*
*According to the HyperionDev 2024 graduate outcomes report
Payment methods
Upfront payment
Once Off
Take advantage of discounted rates, by paying the full amount upfront you will receive 15% off your bootcamp, for a limited time only.
Tuition assistance
Coming Soon
Our funding partner will be launched soon. Pay for your bootcamp over an installment plan tailored to your needs
*If the bootcamp is canceled or rescheduled, you will automatically be entitled to a full refund of your enrollment deposit.
Data Science
online bootcamp
Courses
