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

Limited to applying only one function for a specific column in a `DataFrameGroupBy` object

Limited to applying multiple functions but to a single column in a `DataFrameGroupBy` object

Can apply multiple functions to multiple columns in a `DataFrameGroupBy` object

What are the limitations of the `.agg()` function?

What are the limitations of the <code>.agg()</code> function?

How many columns can be used in a `.groupby()` statement?

How many columns can be used in a <code>.groupby()</code> statement?

Out of the following, which methods would result in converting a `DataFrameGroupBy` object to a `DataFrame` object? [Choose all that apply.]

Out of the following, which methods would result in converting a <code>DataFrameGroupBy</code> object to a <code>DataFrame</code> object? [Choose all that apply.]

Final Group By Quiz

Final Group By Quiz

Hopefully, you got the answers right! The next lesson will be the section summary, followed by dates manipulation in DataFrames.

This quiz will make sure you've covered the necessary knowledge of the grouping functionality in Pandas.

Course Introduction

Selection / Filters

Grouping

Dates Manipulation

Apply / Map

Merge/Concat

Quizzes: Assorted Topics

Conclusion

Final Quiz