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
A music label wants to evaluate the success of its artists in the past month. However, it is unfair to evaluate based on play count across different countries.
The music label would like to view at the same time:
1. Artists outside the UK who have > 100 plays
2. Artists inside the UK who have > 200 plays

# Problem definition
A music label wants to evaluate the success of its artists in the past month. However, it is unfair to evaluate based on play count across different countries.
The music label would like to view at the same time:
1. Artists outside the UK who have > 100 plays
2. Artists inside the UK who have > 200 plays

In this challenge, you'll be applying multiple filters to subset a DataFrame.

Course Introduction

Selection / Filters

Grouping

Dates Manipulation

Apply / Map

Merge/Concat

Quizzes: Assorted Topics

Conclusion

Challenge: Multiple Filters

Problem definition