-
Courses
- Software Engineering
- Data Science
- Data Analytics
- Product Design
- How we work
- Outcomes
- Communities
- Northeast
- Southwest
*Coming soon
- Blog
- Sign in
Full-time | 5 months | Solve problems with data
Data Science Immersion
An accelerated online program of classes, mentorship, and professional guidance designed to get you a career in data science, fast.
Pay nothing until you're hired.
Enroll now, and pay nothing until you’re earning $40,000 a year. Because your financial status shouldn’t hold you back from a new career.
Learn more
Take a look inside
the course curriculum.
Your email
Curriculum
1
Analytics and Experimentation
You'll learn the basics of using Python gathering and presenting data to find real insights from data you have, SQL for querying, as well how to design and run your own experiments to gather new data.
2
Machine Learning: Supervised Learning
Time to build your first models. You'll start in machine learning with supervised models, covering everything from the classics to cutting edge techniques.
3
Machine Learning: Unsupervised Learning
The second largest branch of machine learning, here we'll cover various forms of unsupervised models, useful for things like feature reduction and clustering.
4
Specializations
Data science is a wide field. Specializations will help you stand out. In this section you'll learn more advanced skills to help you work with certain data types.
One on one.
From enroll to hire.
Our mentors, career coaches, and community network are focused on your success, at every step.
Find out more
Sarah — Mentor, Data Science
How You'll Learn
One-on-one Mentorship
Your personal mentor is your partner-in-data science. They are program managers, instructors, and industry pros dedicated to your future success.
Your team
Your cohort reflects a real-world data science team. You’ll work side-by-side for five months, analyze information in pairs, and complete projects that mimic real world tasks.
Instructors and TAs
Your TAs and instructors provide 24/7 support through QA sessions and Slack, so you’re never lost for long.
Portfolio building
Create a job-winning portfolio filled with complex, technical projects that will help you shine in interviews.
Outcomes
We’re driven by outcomes.
Our goal is your success, and we hold ourselves accountable to make sure we're guiding you to your dream career. That's why we're transparent about placement rates, hiring, and diversity. We're proud to be a founding member of the Council on Integrity in Results Reporting and we're committed to being honest and upfront.
Next course starts Sept 30th.
Deadline to apply Sept 4th.
Plan ahead with these upcoming course dates.
Prefer a different date?
Contact usAdmissions process
1
Online Application
Complete a 10-15 minute application covering your background, goals, and experience.
2
Fit interview
Meet with an admissions advisor to discuss your application, walk through the program structure, and find out which program is the best fit.
3
Secure financing
Select a payment plan, or choose from one of our many financing options.
4
Prep Phase
Prepare to ace your full technical evaluation with 3 weeks of supported self-paced learning covering Python and statistics (requires $250 prep course fee).
5
Tech Evaluation
Pass a live technical interview to prove you're ready for the program, and complete the admissions process.
