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

## Selecting a subset of columns

Real-life datasets are likely to contain several columns. Some of them might be redundant or inapplicable to our analysis. In such cases, we can select a subset of columns. All we need to do is write the column names in a list and use it for filtering.

# Selecting a subset of columns

Real-life datasets are likely to contain several columns. Some of them might be redundant or inapplicable to our analysis. In such cases, we can select a subset of columns. All we need to do is write the column names in a list and use it for filtering.

Learn how to select a subset of columns from a Pandas DataFrame.

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

Filtering by Selecting a Subset of Columns

Selecting a subset of columns