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

## Core dataset (Music)

For the purpose of the course, the code examples will use a dummy dataset of music artists, including information such as:

1. Artist Name
2. Country
3. Number of plays (how many times the artist has been listened to in a specific period)
4. Genre (the type of music the artist plays).

Shown below is a subset of the music dataset you'll be using in the exercises.



# Core dataset (Music)

For the purpose of the course, the code examples will use a dummy dataset of music artists, including information such as:

1. Artist Name
2. Country
3. Number of plays (how many times the artist has been listened to in a specific period)
4. Genre (the type of music the artist plays).

Shown below is a subset of the music dataset you'll be using in the exercises.



These are the datasets you will use during the course, including music, travel, and medical datasets.

Introduction

Selection / Filters

Grouping

Dates Manipulation

Apply / Map

Merge/Concat

Quizzes: Assorted Topics

Conclusion

Datasets

Core dataset (Music)