Solve different challenging problems to prepare yourself for data analytics interviews.

Pandas: Python for Data Analysis

In this module, we’ll try to solve a number of challenges covering different concepts related to data analytics in pandas, such as grouping, filtering, date manipulation, and more. This module will mainly test our knowledge while also helping us understand more advanced concepts. By the end of this module, we’ll have the confidence we need to land our dream job in data science.

Data Analytics Interview Prep Using Pandas

## Summary

In this section, you were able to filter `DataFrames` using multiple methods, which are:

1. Filtering using compound/multiple filters
2. Filtering by a column value matching any item in a list
3. Filtering based on string comparisons

# Summary

In this section, you were able to filter `DataFrames` using multiple methods, which are:

1. Filtering using compound/multiple filters
2. Filtering by a column value matching any item in a list
3. Filtering based on string comparisons

This is a wrap up of the filtering DataFrames section, and a list of other concepts not covered.

Introduction

Selection / Filters

Grouping

Dates Manipulation

Apply / Map

Merge/Concat

Quizzes: Assorted Topics

Conclusion

Summary & Other Concepts

Summary