Mastering Data Analysis with Python Pandas

Challenge: Filter Out the Values Below Average

Explore how to filter values in a DataFrame by identifying items above the average price. This lesson reinforces skills in calculating averages, counting unique values, and applying conditional filters to analyze sales data using Python Pandas.

We'll cover the following...

Problem statement
Solution

1.Course Introduction

2.Pandas Data Structures

3.Creating a Data Frame

4.Exploring a Data Frame

5.Filtering a Data Frame

6.String Manipulation with Pandas

7.Date Manipulation with Pandas

8.Handling Missing Values with Pandas

9.Data Analysis with Pandas

10.Data Visualization with Pandas

11.Combining DataFrames with Pandas

Project

12.Final Challenge and Quiz

Mock Interview

Challenge: Filter Out the Values Below Average

Problem statement