Gain insights into using Python Pandas for efficient data analysis and manipulation. Delve into detailed functions, parameters, and methods to elevate your data handling skills.

A Comprehensive Practical Guide to Python Pandas_ .png

There are several exercises that focus on how to use a particular function and method. The functions are covered in detail by explaining the important parameters and how to use them. By completing this course, you will be able to do data analysis and manipulation with Pandas easily and efficiently.

Mastering Data Analysis with Python Pandas

# Problem statement

This challenge involves using some techniques that we’ve learned in previous lessons. The objective is to find the total sales in each week and sort the results by total sales in descending order. We first need to create a `week` column by extracting the week information from the `sales_date` column. Then, the `week` column will be used in the `groupby` function. Let's also recall how the `grocery` looks by executing the following code.



Learn how to use the groupby function of Pandas for data analysis.

Course Introduction

Pandas Data Structures

Creating a Data Frame

Exploring a Data Frame

Filtering a Data Frame

String Manipulation with Pandas

Date Manipulation with Pandas

Handling Missing Values with Pandas

Data Analysis with Pandas

Data Visualization with Pandas

Combining DataFrames with Pandas

Data Visualization with Seaborn for Walmart Sales Projection

Final Challenge and Quiz

Challenge: Find the Weekly Sales Quantities

Problem statement