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

# Concept

Date parsing and manipulation is a cornerstone of Data Analysis. Fortunately for you, `Pandas` has great utility functions allowing you to easily analyze date/time data.

# Travel dataset

## Idea

If you have the dates of travel of your clients, there are types of analysis you can do:

1. You can find which months or seasons your clients prefer to travel during.
2. You can dissect the above even further, for instance, to see if there's a difference in travel patterns between Europeans and Americans
3. You can develop seasonal forecasts based on previous data

## Interviews

You can be asked questions such as:

1. How can you implement adding a "season of travel" column, based on the rule that each season begins on a specific date?
2. Can you identify the most common month of travel for people of British nationality?


This section introduces the concept of manipulating and filtering dates in Pandas.

Course Introduction

Selection / Filters

Grouping

Dates Manipulation

Apply / Map

Merge/Concat

Quizzes: Assorted Topics

Conclusion

Introduction to Dates Manipulation

Concept

Travel dataset

Idea