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

## Summary

In this section, you were able to solve challenges using the following concepts:

1. Using `.map()` and `.apply()` function
2. Applying custom Python functions as arguments in `lambda` functions
3. Applying a function over all cells in a `DataFrame`

# Summary

In this section, you were able to solve challenges using the following concepts:

1. Using `.map()` and `.apply()` function
2. Applying custom Python functions as arguments in `lambda` functions
3. Applying a function over all cells in a `DataFrame`

This is a wrap-up of the apply/map on DataFrames section, and a list of other concepts not covered.

Course Introduction

Selection / Filters

Grouping

Dates Manipulation

Apply / Map

Merge/Concat

Quizzes: Assorted Topics

Conclusion

Summary & Other Concepts

Summary