In this course, you will face a number of challenges across different concepts, all with the data analytics library Pandas.

This course is mainly to refresh your knowledge, as well as help you understand more advanced concepts. By solving multiple challenges, you will surely strengthen your skills and it will help you ace your interview involving Pandas.

You will cover many topics such as: grouping, filtering, date manipulation, and more. By the time you finish this course, you will have the confidence you need to land your dream job.

Data Analytics Interview Prep Using Pandas

## Problem definition
Your music analyst would like to know the ratio of plays/fans (plays per fan) to see how dedicated listeners are to artists. This comes with a twist: it should be done per nation, not per artist.

# Problem definition
Your music analyst would like to know the ratio of plays/fans (plays per fan) to see how dedicated listeners are to artists. This comes with a twist: it should be done per nation, not per artist.

In this challenge, you'll compute a ratio of plays to fans per nation.

Course Introduction

Selection / Filters

Grouping

Dates Manipulation

Apply / Map

Merge/Concat

Quizzes: Assorted Topics

Conclusion

Challenge 4: Plays-to-Fans Ratio (Medium)

Problem definition