Technology, Management, Data : Choosing what and how to learn
summary
World Economic Forum ranks data analysts and scientists among the top new jobs and degree programs converge: MTech and MBA curricula add cloud, analytics and industry projects. A student project uses FHIR healthcare interoperability on the cloud, combining IoT feeds, JSON data pipelines, ML models and HIPAA-aware security to produce deployable patient-facing apps. Advice: pick an entry — technology, management or data — become T-shaped around the stack and choose project-based learning that produces a working artifact.
AI-written summary · about
chapters (9)
- 0:00Introduction and context
- 4:16Three pillars of skill
- 13:32Evolution of degree programs
- 18:28Bridging theory and industry
- 21:53Healthcare project case study
- 27:31The role of specialized depth
- 29:45Learning temperament
- 35:05Personalizing the career path
- 39:17Conclusion and Q&A
related talks
47mData and analytics talent: Managing the workforce of the future
29mExploring Tech Career in Data Analytics and Science
12mTop Future Skills in 2022: A Framework for Corporate Data Literacy
01h 27mLaunch your career in AI
44mCareers in Data Science
44mPeople, Technology, Culture: How to make Data Science work
40mData Engineering in a Rapidly Changing World
01h 03mHow to think about your career in Data science
