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How to Start a Career in Data and AI - Wagner Silva - Medium
A structured, seven-step guide for individuals looking to start a career in data and AI, covering everything from fundamental concepts to job application strategies. The article provides practical adv
ice on skill development, tool mastery, gaining experience, networking, and portfolio building, while emphasizing the field's strong career prospects.

Reasons to Read -- Learn:

  • clear, structured pathway for entering the data and AI field, with specific action items and resource recommendations at each stage of the journey
  • essential technical skills and tools required for different roles in data and AI, including specific programming languages, frameworks, and visualization tools that are currently in demand
  • practical strategies for gaining hands-on experience through specific channels like Kaggle competitions, open-source contributions, and hackathons, along with concrete steps for building a compelling portfolio
  • publisher: @wagnerdsc
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