The ultimate guide to data analytics interviews using Pandas. Strengthen your skills with advanced concepts and practice with real-world interview questions. Developed by FAANG engineers.

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 wants to identify which bands are `very popular`/`popular`/`not popular` based on the rules below:

1. A band is `very popular` if they have greater than **1000** `plays` OR if they have greater than **50** `fans`.
2. A band is `popular` if they don't meet the above conditions, but have `plays` greater than or equal to **500**.
3. A band is `not popular` if they don't meet any of the above conditions.

# Problem definition

Your music analyst wants to identify which bands are `very popular`/`popular`/`not popular` based on the rules below:

1. A band is `very popular` if they have greater than **1000** `plays` OR if they have greater than **50** `fans`.
2. A band is `popular` if they don't meet the above conditions, but have `plays` greater than or equal to **500**.
3. A band is `not popular` if they don't meet any of the above conditions.

This challenge expects you to apply a more complex function to determine if a band is popular or not.

Course Introduction

Selection / Filters

Grouping

Dates Manipulation

Apply / Map

Merge/Concat

Quizzes: Assorted Topics

Conclusion

Challenge 3: Is the Band Popular? (More Complex Function) (Easy)

Problem definition