In this Data Analyst in Business course, we've explored the business context in which data science happens. You'll now have a chance to apply what you've learned in a more relaxed way. Feel free to explore alternatives to the path we're taking in this project.

In this scenario, you're working for a company that creates data science content, be it books, online articles, videos or interactive text-based platforms like Dataquest.

You're tasked with figuring out what is best content to write about. Because you took this course, you know that given the lack of instructions there's some leeway in what "best" means here.

Dive into this project in our browser-based Notebook interface, or work through it locally in a Jupyter Notebook. Either way, don't forget to put your own spin on it and take it beyond the guided steps to turn it into an excellent portfolio project for job applications!


  • Apply what we've learned about data science in business contexts
  • Identify the highest-value content for our company to produce

Mission Outline

  1. Introduction
  2. Stack Exchange
  3. Stack Exchange Data Explorer
  4. Getting the Data
  5. Exploring the Data
  6. Cleaning the Data
  7. Most Used and Most Viewed
  8. Relations Between Tags
  9. Enter Domain Knowledge
  10. Just a Fad?
  11. Next Steps