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 is interested in finding the sum of plays of artists by country. Can you return the total number of plays for each country?

# Expected output

A Python dictionary where every key is the country name, and the value is the sum of plays of artists originating from that country

Example: `{'US': <x>, 'Finland': <y>, 'UK': <z>, 'Egypt': <a>}`

In this challenge, you'll be asked to get the total number of plays grouped by country.

Course Introduction

Selection / Filters

Grouping

Dates Manipulation

Apply / Map

Merge/Concat

Quizzes: Assorted Topics

Conclusion

Challenge 1: Sum of Plays per Country (Trivial)

Problem definition

Expected output