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:

1. Perform basic date extraction and manipulation
2. Filter a `DataFrame` based on a time interval
3. Generate dates with a specific time range and frequency
4. Apply the concept of resampling

# Summary

In this section, you were able to:

1. Perform basic date extraction and manipulation
2. Filter a `DataFrame` based on a time interval
3. Generate dates with a specific time range and frequency
4. Apply the concept of resampling

This is a wrap-up of the date manipulation in DataFrames section, and a list of other upcoming concepts.

Introduction

Selection / Filters

Grouping

Dates Manipulation

Apply / Map

Merge/Concat

Quizzes: Assorted Topics

Conclusion

Summary & Other Concepts

Summary