Data Analytics

This program is designed with the absolute beginner in mind. Meaning, there are no prerequisites or prior experience in data analytics or tech required.

Regardless of age or background, we’ve built a learning experience to ensure your success. From the catered curriculum and hands-on exercises to one-on-one mentorship and support throughout.

What’s required*:

• Motivation to transform your career
• Interest in data analytics
• Written and spoken English proficiency at a B2 level or higher
• A computer (macOS, Windows, or Linux) with a webcam, microphone, and an internet connection

In the Data Analytics Program you’ll use Microsoft Excel, as well as Tableau, Python, Anaconda, Jupyter, PostgreSQL, GeoPandas, and GitHub.

All tooling for this program is free to use, apart from Microsoft Excel, where you can get a free one-month trial through the Intro to Data Analytics Course. After the month trial, you’ll be able to purchase one month only (as opposed to a full subscription) in order to continue on and complete the first Achievement in the Data Immersion Course.

For further tool requirements related to specialization courses, please view their respective pages:

• Machine Learning with Python
• Data Visualizations with Python

Compatible operating systems: Windows 10, macOS versions 10.13 and later, Ubuntu, Debian, CentOS, or Fedora (Linux). We recommend a minimum of 12 GB of RAM on your device, but 16 GB would be preferable.

Questions? Contact us for more information on requirements for your specific operating system.

Yes, the program is entirely asynchronous and online—so you can study when and wherever you’d like so long as you can get online and stay on track for graduation.

But this doesn’t mean the learning experience is isolated or lonely! You’ll have regular contact with your mentor, tutor, student advisor, and career specialist—as well as full access to our active student community on Slack.

The program is flexibly-paced within a 10-month duration. There are three deadlines along the way that we’ve put in place to help keep you on track for graduation.

Expect to devote a minimum of 15-20 hours per week to graduate within that maximum time frame. This is considered part-time study, and matches the default pacing of the program. If you’d like to graduate in as little as five months, you can devote 30-40 hours per week to reach that goal.

The Data Analytics Program offers you a complete career change package—including expert-authored curriculum, hands-on projects, personalized mentorship, and career coaching. Find out more here:

• How it works: From curriculum details to your career change team, and beyond—here are the details.
• Meet our mentors: Get to know who the CareerFoundry mentors are and how the dual-mentorship model works.
• Career services: Everything you need to know about our personalized career coaching, Job Preparation course, Career Support Center, alumni community, and more.
• Graduate outcomes: Here’s some of the work our graduates did in the program—and where they’re at today.

Yes, we offer two payment options. You can save 5% of your total tuition by paying it up front. Alternatively, you can pay a set amount up front to reserve your place in the program, and the remainder in 10 monthly payments (regardless of when you graduate from the program).

Still not feasible for you? Book a call with a program advisor to see if you’re eligible for a customized payment plan.

While we do offer an ongoing tuition reduction to active U.S. military personnel and veterans, as well as periodic, partial scholarships/tuition reductions, we do not offer any full scholarships or funds at this time.

If you’d like to learn more about any of these offers, please reach out to a program advisor.

If you’re not happy with the program in the first 14 days from the start date, you can simply cancel for a full refund.

If you are 60% or less of the way through the program duration (not including any extensions) and need to cancel for any reason, you may be eligible for a prorated refund. For more information, see our full terms and conditions.

You will receive a signed CareerFoundry certificate when you complete the program. This will make it easy for you to share your new qualification on LinkedIn and with potential employers or clients.

While the program is not university accredited, it does undergo a rigorous quality assurance and certification process with the ZFU (Staatliche Zentralstelle für Fernunterricht)—the state body for distance learning in Germany.

This process ensures that the program meets a high stand for an excellent and effective learning experience.

On successful completion of this certification process, the program is assigned a unique approval number (7374920) which can be checked against a public register.

There are conditions that graduates need to meet in order to be eligible for the job guarantee. We’re transparent about these requirements because we want them to be easy for you to follow and because we know they genuinely help graduates succeed in their job search.

You’re eligible for the job guarantee when:

• You’ve successfully completed 100% of your CareerFoundry program as well as our free Job Preparation course.
• You’re applying to at least five relevant jobs a week.
• You live in a metropolitan area with a population above 200K people in any of the following countries: USA, Canada, European Union or EFTA countries, UK, Australia, or New Zealand (or you’re willing to relocate).
• And when you meet other qualifying criteria. Please read the full terms and conditions.

Based on the program’s comprehensive curriculum, you’ll be ready to apply for and step into a junior data analyst role or mid-level data analyst position.

Keep in mind that many job ads for data analysts ask for 2+ years of experience, but it is often part of their "wishlist" rather than a requirement.

If you have transferable skills from your previous career, it’s possible to land a more senior role. Your dedicated career specialist (during the Job Prep course) will help you understand your transferable skills and craft the right narrative to present in your job application materials.