

How to start a Career in Data Science?
How to Start a Career in Data Science + Scholarship Opportunity
Thinking about a career in Data Science but not sure where to start?
Join us for a free live session and learn what it takes to break into one of the fastest-growing fields in technology. Whether you're a student, career changer, or working professional, this session will give you a clear roadmap for launching a successful career in Data Science.
📅 Wednesday, June 10
🕖 7:00 PM – 8:30 PM
📍 Mindwarehouse, 111 NE 1st St, Miami, FL
Hosted by: Department of Economic Innovation & Development at the City of Miami
What You'll Learn
✅ What Data Scientists and Data Analysts do day-to-day
✅ Skills employers are looking for in 2026
✅ How to build a portfolio without prior experience
✅ AI, Python, SQL, Power BI, and Machine Learning career paths
✅ Salary expectations and job opportunities in South Florida
✅ How to transition from another profession into Data Science
Speaker
Loredan Emini
Senior Data Analyst & Mentor, Creative Hub Miami
Loredan has helped train and mentor aspiring data professionals while working with real-world analytics, business intelligence, and AI-driven projects. During this session, he will share practical advice on entering the industry, building in-demand skills, and standing out to employers.
Full Scholarship Opportunity
Following the webinar, attendees who are interested in pursuing a career in Data Science will have the opportunity to apply for a full scholarship.Selected candidates will receive funding to enroll in the Data Science & Analytics Program at Creative Hub Miami, gaining hands-on training in Python, SQL, Data Analytics, Machine Learning, AI, and career preparation.
🎟️ Free to attend. Limited seats available.
Whether you're exploring a new career path, looking to upskill, or interested in leveraging AI and data to advance your career, this session is an opportunity to learn directly from an industry expert and discover available scholarship opportunities.
Reserve your seat today and take the first step toward a career in Data Science. 🚀📊🎓