This is the video for week 4 of the data science bootcamp I offer students FOR FREE at the Community College of Aurora. The bootcamp is meant to take you from never having used Python and knowing very little statistics to being able to approach your own independent data science and machine learning projects.

Each week has have one video and a mini-project to practice what you've learned. The topics, subjects, and mini-projects are the same online as they in-person.

Last week, we learned how to transform our data to make it nicer for modeling, and we talked about feature engineering, such as bucketizing a column.

This week we are finally doing some SCIENCE. We're going to write research questions, form hypotheses, generate new information with hypothesis tests, and build a linear regression model to be used for prediction!

The mini-project for the week is in this Google Drive Folder:
https://drive.google.com/drive/folder...

SuperFastCourse on Linear Regression!
   • SuperFastCourse: Linear Regression  

Week 1 of the Bootcamp can be found here
   • DS Bootcamp Week 1  

Learn more about Research Questions!
https://dissertation.laerd.com/how-to...

Learn more about Hypothesis Tests!
https://www.machinelearningplus.com/s...

Learn about the Statistics Underlying Hypothesis Tests!
https://stats.libretexts.org/Bookshel...

A deeper look at Linear Regression!
https://towardsdatascience.com/the-co...