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

`df = df.set_index('column', within=True)`

How can an index be set in a `DataFrame` without needing to assign the return value to a new variable?

How can an index be set in a <code>DataFrame</code> without needing to assign the return value to a new variable?

Which of the following will be the return value of the expression `df.set_index('column', inplace=True)`?

Which of the following will be the return value of the expression <code>df.set_index('column', inplace=True)</code>?

`df.set_index('column', inplace=True)['other_col'].sum()`

`df.set_index('column')['other_col'].sum()`

What are the correct ways to chain multiple functions while setting an index in a `DataFrame`?

What are the correct ways to chain multiple functions while setting an index in a <code>DataFrame</code>?

Index setting in Pandas

Index setting in Pandas

This quiz covers how to set an index of a DataFrame in Pandas.

Course Introduction

Selection / Filters

Grouping

Dates Manipulation

Apply / Map

Merge/Concat

Quizzes: Assorted Topics

Conclusion

Setting Index