How I Retrained As A UX Designer And Landed A Dream Job—And All For Free
Alexander Frimpong, Graduate
UX Designer at mediaworx berlin AG
Data Analytics Program
Become a data analyst
in under 8 months
Learn flexibly online
without having to quit your job
Work with expert mentors
and build your portfolio
Get a free
Data Analytics Short Course
Get a free
Data Analytics Short Course
Curious about this program?
Contact us to find out if it’s right for you
“How would you like to get in touch?”
“I’m here to help you become a data analyst”
Alana, Senior Program Advisor
Curious about this program?
Contact us to find out if it’s right for you
“How would you like to get in touch?”
“I’m here to help you become a data analyst”
Alana, Senior Program Advisor
Our graduates now have tech jobs all over the world
Data Analytics Program details
In this program, you will
Learn all of the skills, tools, and processes you need to become a data analyst
Work with a mentor who has over 5 years of industry experience and a tutor for your day-to-day feedback
Receive tailored coaching from our Career Services Team to ensure you stand out at interviews
Build an impressive portfolio out of the real-world projects you complete
Land a job as a data analyst within 180 days of graduating from the program—or your money back
Fully online
5 months at 30-40 hours/week or up to 8 months at 15-20 hours/week
Mentorship
Our CareerFoundry mentors are rated 4.84/5 from over 6000 student reviews
Career support
Free job preparation course and expert career coaching included
Why become a data analyst?
A job you'll love
As a data analyst, you have the satisfaction of solving complex problems and turning your ideas into reality with just your laptop. Harvard Business Review named data analysts and data scientists as "the sexiest job of the 21st century."
High demand means high pay
Employers struggle to find qualified data analysts, and the demand keeps growing. The average junior data analyst salary in the United States is $51,349 per year, while senior data analysts can earn as much as $78,204.
A flexible career path
As a data analyst, you'll have the opportunity to work for startups, agencies, large corporates, on a freelance basis, or even remotely.
Why choose CareerFoundry?
Human-centric learning
Our dual mentorship model ensures that you get all the support you need. You’ll have both a tutor—an experienced data analyst responsible for evaluating your exercises within 24 hours of submission, and a mentor—a data analytics industry expert who gives detailed written, video, and on-call feedback on your portfolio pieces.
Flexibility with accountability
Study at a flexible pace within the 8-month program duration, working a minimum of 15 hours per week. Your mentor, tutor, student advisor, and career specialist will help you stay on track and accountable.
Successful, satisfied graduates
With 96% of our eligible graduates getting a tech job within 180 days of graduation at top companies—including Google, Apple, and Amazon—you can be confident that taking the program will get you where you want to go: working as a data analyst in a job you love.
Success Stories
Our students go on to launch challenging new careers in the tech industry
Portfolio projects
Our graduates now work at...
Data Analytics Program admission criteria
What you need:
The motivation to transform your career
The program requires commitment as it takes about 420 hours to complete. You should be prepared to set aside at least 15-20 hours per week to study.
A computer (Mac or PC) and an internet connection.
An interest in data analytics
If you're already reading books and blog posts about different types of analysis, that is a great start. If you are unsure if data analytics is really for you, here are some great ways to explore it:
- Take our free Data Analytics Short Course.
- Get a free consultation with one of our program advisors who will give you personal feedback on which direction to go based on your interests and goals.
What you don’t need:
A background in analytics
You don’t need a college degree or previous work experience that is related to data analytics in order to be successful on the program or land a job. The program has been built to take you from beginner to job-ready. A study by job board Indeed found that 84% of employers think bootcamp grads are ‘more prepared’ or ‘just as prepared’ to be high performers as degree holders (Indeed).
Unlimited free time
You can study part-time alongside your job at 15-20 hours per week to finish the program in 8 months, which is the maximum program length. You can also complete the program faster than this by studying up to 30-40 hours per week.
To learn all on your own
The program combines the flexibility of online learning with the accountability and one-on-one attention traditionally associated with brick-and-mortar institutions. Much like a college professor might inspire you to pursue a career in a certain field, your mentor, tutor, career specialist, and student advisor will all help keep you motivated and on track.
Price and payment options
Next start dates:
Pay upfront
Save 5% on your tuition.
upfront, then for months
Pay monthly
Pay today to secure your place, and then per month for months.
Pay upfront
Save 5% on your tuition.
upfront, then for months
Pay monthly
Pay today to secure your place, and then per month for months.
Need a more flexible payment plan?
We can set up a custom payment plan that better suits your needs. Book a call with a program advisor to learn more.
Talk to your program advisor
FAQ
1. Are there payment plans available?
Yes, you can select a monthly payment plan of Note: You will be required to pay the full duration of the payment plan even if you graduate before the payment plan ends.
Still doesn’t work for you? Book a call with a program advisor and see if you are eligible for a custom payment plan.
2. What’s the refund policy if I change my mind?
If you start the program but are not completely satisfied, simply cancel within 14 days and receive a full refund.
If you enroll and for some reason want to cancel before you’ve completed 60% of the program, you get a prorated refund based on remaining time and your payment plan details. See the full terms and conditions here.
3. What’s the "catch" for the job guarantee?
The requirements you’ll need to meet to be eligible for the job guarantee are based on what we know from experience will make graduates successful in their job search. We are very transparent about these requirements so that they’re easier for you to follow. Some of the requirements include: You have successfully completed 100% of your CareerFoundry program, you are applying to at least five jobs a week, and 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). Check out our terms and conditions for a complete list of requirements. Or connect with one of our program advisors to find out if you would be eligible for the job guarantee.
4. What kind of job can I get after the program?
You will be ready for “junior data analyst” or “data analyst” roles based on the curriculum. If you have transferable skills from your previous career, you can potentially land a more senior role; your Career Specialist will help you to craft the right story. Many job ads for data analysts ask for 2+ years of experience, but it is often part of their “wishlist” rather than a requirement.
5. Do I get a certificate at the end?
After you graduate, You will receive a certificate to make your new qualifications easy for employers to see.
6. Is becoming a data analyst a secure career choice?
The World Economic Forum named data analysts and scientists as the Number 1 emerging role in the world by 2022. (World Economic Forum, 2018)
7. Are there program requirements?
You need to have at least a B2 level in written and spoken English, a computer (Mac or PC), and an Internet connection.
8. How long does the program take to complete?
The program is flexibly-paced within an 8-month duration. There are three deadlines along the way these are in place to ensure you remain on track. You should expect to put in 15-20 hours per week (to complete the program within eight months), but you can dedicate more time to studying if you'd like to graduate sooner!
9. Is the program 100% online?
Yes, the program is entirely online so that you can study flexibly according to your own schedule. You get access to our active student community on Slack and, after the program, you will have a global network of other ambitious alumni and mentors to support you.
10. Can I take the program for free?
We do not offer any full scholarships or funds at this time.
11. What if I have a question that isn’t answered here?
You can email us or book a call with a program advisor here to get all of your questions answered promptly.
12. What does ZFU-approved mean?
The ZFU, or Staatliche Zentralstelle für Fernunterricht, is the state body for distance learning in Germany. In order to offer our Data Analytics Program publicly, it must undergo a rigorous quality assurance and certification process. On successful completion of this process, the program is assigned a unique approval number (7374920) which can be checked against a public register.
13. What are minimum system and hardware requirements?
| Windows | macOS |
|---|---|
|
Operating system: Windows 10 Processor: Multicore Intel processor with 64-bit support RAM: 4 GB RAM (64-bit) Monitor resolution: 1024 x 768 |
Operating system: macOS versions 10.13 and later Processor: Multicore Intel processor with 64-bit support RAM: 4 GB RAM (64-bit) Monitor resolution: 1024 x 768 |
Want to know if data analytics is right for you?
Find out with a free 5-day short course.
Thanks!
Curious about this program?
Contact us to find out if it’s right for you
“How would you like to get in touch?”
“I’m here to help you become a data analyst”
Alana, Senior Program Advisor
How would you like us to contact you?
Book a time to speak to a Career Advisor
Send us a message
What questions do you have about the program? We're happy to help.
Thank you!
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