Summary and Final Tasks

Summary

In Lesson 2, you've learned about different types of variables: categorical versus quantitative. You've also learned about corresponding data types in Python, both how to recognize those types and change a variable from one type to another. Lesson 2 has presented a lot of basic tools, mostly coming from the Pandas library in Python, for data manipulation and processing. These tools are essential from going from the raw imported data to a useful DataFrame, from which we can easily perform subsequent analyses. Lesson 2 ended with some very basic analyses, in the context of summarizing data: finding proportions, means, medians, standard deviations, and other summary statistics.

As you continue through this course, you may find the Pandas cheet sheet [1] to be a handy reference to the functions we've covered in this lesson.

 Assess It: Check Your Knowledge Quiz

Reminder - Complete all of the Lesson 2 tasks!

You have reached the end of Lesson 2! Double-check the to-do list on the Lesson 2 Overview page to make sure you have completed all of the activities listed there before you begin Lesson 3.