Launch your career in Data Analytics with COOP + Coursera
Location: Miami
COOP Careers is bringing our Data Analytics Fellowship to Miami in Spring 2026 with an exciting new twist. You’ll get everything that makes COOP special: community, coaching, and career prep, plus the opportunity to make significant progress toward Google’s industry-recognized Data Analytics Professional Certificate through Coursera.
During the fellowship, Miami fellows will complete more than half of the certificate coursework. With COOP’s structured support and momentum, you’ll be equipped to finish the remaining courses and earn the full certification within 4–8 weeks after the fellowship, strengthening your credentials and boosting your career prospects.
Why this matters:
Employers in Miami are looking for both recognized credentials and real-world project experience. Through our fellowship, you will gain both:
A Google-backed Data Analytics Professional Certificate (completed within about 24 weeks)
Collaborative projects that showcase your technical and professional skills.
A community and coaching network that keeps you motivated and accountable to work through your .
Get started in data analytics
Through our fellowship, you will get everything that makes COOP special - community, coaching, and career prep - plus the opportunity to make significant progress toward Google’s industry-recognized Data Analytics Professional Certificate through Coursera.
The technical (“head skills”) training is primarily powered by Coursera’s Google Data Analytics Professional Certificate. Fellows complete more than half of the certificate asynchronously with the support and accountability of peers and near-peer coaches.
By the time the fellowship ends, fellows will be on track to finish the remaining coursework, typically within 4–8 weeks, and earn the full credential that employers know and value, on top of the COOP fellowship experience.
Personalities suited for this track:
Technical
Problem solver
Investigative
Careers you will be prepared for:
Data Analyst
Associate/Junior Analyst
Business Intelligence Specialist
Business Analyst
What you will gain from the COOP Careers Fellowship:
Gain hands-on experience with data cleansing, processing, and visualization while creating dashboards and presentations in Tableau, RMarkdown, and ggplot2, building an entry-level portfolio to showcase your skills and career readiness in future job interviews.
Technical training (“head skills”):
Complete over half the Google Data Analytics Professional Certificate during the fellowship, equipped with ongoing support and momentum to complete the remainder within two months of finishing program
Learn industry-standard tools and techniques through Coursera’s curriculum
Apply your learning through COOP-designed projects including at mid-cycle and final capstone
Community and coaching (“heart skills”):
Belong to a supportive, tight-knit cohort of peers
Increased confidence through weekly small-group coaching sessions led by near-peer COOP alumni captains
Strengthen your communication, teamwork, and leadership skills
Career development (“hustle skills”):
Build a strong resume and LinkedIn profile
Practice interviews and sharpen your professional presence
Connect with industry professionals and expand your network
Miami community celebrating the completion of the fellowship.
Program structure:
Schedule: live sessions Monday–Wednesday evenings, for up to nine hours per week for 16 weeks
Self-paced learning: 3–8 hours/week on Coursera
Location: Miami (virtual-first with local cohort community)
Upon completion of the fellowship, fellows gain access to our extensive alumni network and resources. Our staff regularly share job referrals and organize workshops like mock interviews and resume reviews to help alumni on their career journey.
Alumni have gone on to land jobs at media and tech companies such as GroupM, Salesforce, TikTok, and so many more!
Data analytics alumni: career journey
Core program components
Head: Strong foundation of hard skills for a career in tech.
Intro to data analytics
Excel
SQL
Tableau
Data-driven presentations
Exploratory data analysis
Reports and dashboards
Heart: Develop your strengths, personal story, professional network.
Communication
Conflict resolution
Time management
Onboarding to a new job
Authentic professionalism
Work-life balance
Handling rejection
Confidence and facing fears
Hustle: Hit the job market with a plan, a portfolio, and positive pressure.
Personal pitch
Resume
Cover letters
Email etiquette
Interview practice
Optimizing applications
Collective networking