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Explore what it really takes to break into data science and AI today. Join industry experts, academic leaders, and a data career coach from the University of Cambridge and FourthRev as they unpack how the Cambridge Data Science Career Accelerator prepares learners for real-world roles in a fast-changing tech landscape. ✅ Learn what employers want ✅ Understand the importance of portfolio-based learning ✅ Hear from hiring experts and industry mentors ✅ Discover how career coaching supports your goals --- 🔑 Ready to take your next step? 📘 Download the programme brochure: https://onlinecareeraccelerators.pace... --- Timestamps: 0:00 Welcome and session overview 0:40 About Cambridge PACE and the programme 2:00 Panel introductions 3:00 How AI is changing employer expectations 6:00 What companies want in data talent 8:00 Skills gaps in the job market 11:00 Why portfolios matter 12:00 Portfolio based learning and employer projects 14:00 What makes a strong portfolio 17:00 How recruiters judge candidates 20:00 Career coaching and learner support 22:00 Programme structure and courses 25:00 Weekly workload and study rhythm 26:30 Fees and payment options 27:30 Entry criteria and Python requirements 29:30 Job support and networking 32:00 Masters vs Career Accelerator 34:00 How to transition into AI roles 36:30 Non technical backgrounds and eligibility 39:00 Data governance coverage 40:30 Final steps and closing