Mentors and Tutors
Our aim is to become the most student-centric educational company on the planet. To achieve this, we strive to innovate within the field of edtech while remaining hyper-responsive to your feedback.
The way we approach mentorship is a perfect example of this. When we started out back in 2014, our mentorship model was very similar to that of other online bootcamps and academies — 1 mentor to 1 student. We quickly realised, however, that this simply wasn’t enough.
Our students needed a mixture of quick, regular feedback on their smaller exercise submissions and more detailed, in-depth feedback on their significant portfolio pieces. To accommodate our students’ needs, we split the role into two: the Mentor and the Tutor.
So what’s the difference?
A mentor is a data analyst with over 5 years’ experience. Your mentor will conduct a video review of each presentation piece you submit. Presentation pieces go towards your professional data analytics portfolio, so this feedback is invaluable. You are entitled to unlimited calls with your mentor.
A tutor is a course expert who is there to answer your questions on a day-to-day basis, and provide actionable feedback on your Tasks within 24 hours.
This dual approach transformed our students’ results, and we haven’t looked back since.
Meet a mentor
Panagiota started her career as a front-end and back-end developer working with plenty of web technologies before moving to Prague to work as a Software Engineer at Skype/Microsoft. She holds a BSc in Applied Informatics and MSc in Computer Science from Aristotle University of Greece with specialization in the field of Information and Communication Technologies in Education. Panagiota never stops learning and always enjoys getting the most out of collaboration. She is passionate about technology and education.
Mentor Advisory Board
Our mentors receive comprehensive onboarding and coaching on how to mentor. Students are also encouraged to give regular feedback on their mentors and tutors throughout the course. This combination of feedback and coaching helps us to continually improve the quality of our mentoring. That’s why our mentors are rated 4.89/5 from over 14,000 individual student reviews.
Job preparation and coaching
The Job Preparation course is included for free with your Data Analytics Course and has been designed to help you with all aspects of finding a new job. Once you’ve opted into the Job Preparation module, you’ll be assigned a Career Specialist. They will evaluate your job applications, help you strategize your job search, provide further advice on interview preparation, and help you to refine your LinkedIn profile and networking strategy.
The Job Prep course and Career Specialist will help you with:
- Developing a convincing narrative about your career change
- Building a resumé and refining your portfolio to reflect your new skills
- How to talk about CareerFoundry
- How to optimize your LinkedIn profile
- How to search for relevant jobs
- How to write cover letters
- How to network
- How to plan for professional development
Even once you’ve found a job, the Career Services Team is happy to provide you with support throughout your transition to your new career.
Our Data Analytics Program was created following extensive research into the job market and an in-depth survey of industry professionals. The course is structured around the key skills you will need to succeed as a data analyst.
Rather than relying on third-party content, our curriculum is created exclusively in-house. We have a dedicated Curriculum Team working in collaboration with leading data analysts who have experience from tech giants like Apple and Hewlett-Packard. Finally, the course is structured by instructional designers from Harvard and Berkeley (also part of our in-house team) to ensure the best possible learning experience.
The course is constantly updated to ensure it teaches the most relevant skills that employers are looking for.
Flexibility with accountability
We designed the course to be flexible and accommodate different schedules. It typically takes students 7 months to complete the course at a pace of 15 hours per week, or 3.5 months at a pace of 30 hours per week. Of course, you can do anything in between—or even try to progress faster. The course is entirely online and there are no fixed times when you have to be present, so you can plan the time you dedicate to your course around other commitments—whether that be looking after your kids, going to your day job, or catching up with friends and family.
With your four-person team supporting you and our active data analytics community of fellow students and graduates, you’ll never feel alone or stuck on the course. Your Mentor, Tutor, and Student Advisor will encourage you to submit exercises consistently so that you stay on track and celebrate every step you take towards becoming a data analyst.
Graduates with great jobs
High Mentor ratings
Our mentors are rated 4.89/5 from over 14,000 individual student reviews.
Successful job placement
The outcome of the course is the most important part. That’s why we are proud that 96% of eligible alumni get a tech job within 180 days of graduation.
Work at top companies
Our graduates have gotten data analyst jobs all over the world, often at top companies or interesting agencies and startups.
Our graduates now have tech jobs at companies all over the world:
"The course was superb, interesting, challenging and exactly what I needed to give me the confidence to “rebrand” myself. It has led on to a great new job as a UX junior and has opened many doors for my understanding of technology of the future."
"I am super grateful to CareerFoundry. I am positive that it was why I was hired for the job even though I had no previous experience in the field."
Find out if the course is right for you
Take the free 5-day Data Analytics Short Course to get started, or get in touch with our Career Advisors for a free consultation. You’ll learn:
- How you can go from beginner to a data analyst with a job you love
- What the data analytics job market is like in your area and the salary you can expect
- If data analytics is the best fit for you based on your background and interests
Don’t worry—you won’t be pressured into making a commitment. The goal is to ensure you make a fully informed decision.
Curious about this course?
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 Career Advisor
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