In this course, we learned about Hypothesis Testing in R and learned the fundamentals of hypothesis testing using R. We first learned how to handle probability density functions, then we learned how to create testable hypotheses along with learning how to decide which hypotheses to support from your data. 

To help with learning the topics in this course, we learned about each of them in isolation; however, you will apply what you have learned and leaarn how to use data analysis to win Jeopardy! and maximize the money you can earn!

While practicing what you learned in this course, we'll be working with Jeopardy question data. By taking a data-driven approach to this problem, you will familiarize yourself with an enormous amount of data in an efficent way by prioritizing topics that appear most often in Jeopardy.

Working on guided projects will give you hands-on experience with real world examples, so we encourage you to not only complete them, but to take the time to really understand the concepts.

These projects are meant to be challenging to better prepare you for the real world, so don't be discouraged if you have to refer back to previous missions.

As with all guided projects, we encourage you to experiment and extend your project, taking it in unique directions to make it a more compelling addition to your portfolio!


  • Learn to use text data to answer questions.
  • Learn to apply chi-squared tests to solve real problems.

Lesson Outline

1. Getting to Know Jeopardy Data
2. Fixing Data Types
3. Normalizing Text
4. Making Dates More Accessible
5. Focusing On Particular Subject Areas
6. Unique Terms In Questions
7. Terms In Low and High Value Questions
8. Next steps