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.