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The Data Scientist's Guide to APIs: Finally, the Right Level, the Right Focus. Build your own automated job market scoring system - a real, explainable portfolio piece

APIs are now a core skill for data science professionals - yet almost everything out there teaches them at the wrong level, with the wrong focus. This session was built specifically for data scientists and analysts: no backend engineering, no unnecessary complexity. Just the concepts and hands-on practice that actually matter for your work.

In this 2 hour live workshop, we will build our own automated job market scoring system - of course using APIs and online data, parsing them in a structured way using dataframes, and using the OpenAI API for analyzing information.

Topics covered -

  • A working mental model of APIs - at the right level for data science, not software engineering
  • Confidence using GET and POST requests - the backbone of modern data workflows
  • Hands-on experience with the OpenAI API for programmatic AI analysis (not just chatting)
  • A practical approach for cleaning and structuring raw API data for analysis
  • Your own automated job market scoring system - a real, explainable portfolio piece

Who should attend:
Anyone curious about where APIs fit in a modern data science workflow. No advanced experience required. If you're a data professional who has avoided APIs because the learning material felt too "developer-y," this session was made for you.

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