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

# Filtering by a list
You have seen in the previous lesson how to utilize basic conditional operators such as `==` or `>` to filter DataFrames. 
Now, what if you want to filter based on a list? In a travel domain, you may want to filter travelers originating from either the US, UK, or Spain. Similarly, in a medical domain, you may need to filter patients who have diabetes, heart-failure, or asthma.

In this lesson, you'll get a refresher on filtering using lists/strings in Pandas.

Course Introduction

Selection / Filters

Grouping

Dates Manipulation

Apply / Map

Merge/Concat

Quizzes: Assorted Topics

Conclusion

Filtering by a List/String Filters

Filtering by a list