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 would like to know the continent of origin of each band. Can you help them with that?

# Expected output

A python `dict` mapping each band to its continent of origin

Example: `{'Cairokee': 'Africa', 'The Beatles': 'Europe'}`

The country-to-continent mapping is provided in the challenge as a `dict`, for example:

`{'Egypt': 'Africa', ...}`

This challenge expects you to map the countries of bands to their respective continents.

Course Introduction

Selection / Filters

Grouping

Dates Manipulation

Apply / Map

Merge/Concat

Quizzes: Assorted Topics

Conclusion

Challenge 1: Mapping Countries to Continents (Trivial)

Problem definition

Expected output