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

# The mean, median, and mode

The mean, median, and mode are the measures of central tendency that give us an idea of the distribution of a variable.

- **Mean** is the average value. It can be calculated by adding all the numbers in a dataset and then dividing the sum by the number of values.
- **Median** is the middle value when the values are sorted in ascending or descending order. If the number of values in the dataset is even, the median is the average of the two values in the middle. 

For example, the following `Series` has six values.  Run the code to verify that the median value is the average of the two values in the middle.


Learn the measures of central tendency and how to find them with Pandas.

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

Final Challenge and Quiz

Measures of Central Tendency

The mean, median, and mode