Data Analysis with Pandas and Python introduces you to the popular Pandas library built on top of the Python programming language.
Pandas is a powerhouse tool that allows you to do anything and everything with colossal datasets—analyzing, organizing, sorting, filtering, pivoting, aggregating, munging, cleaning, calculating, and more! Hence, we call it “Excel on steroids”!
Over the course of more than 19 hours, we will go step-by-step through Pandas, from installation to visualization! We will cover hundreds of different methods, attributes, features, and functionalities packed away inside this awesome library. We will dive into tons of different datasets, short and long, broken, and pristine, to demonstrate the incredible versatility and efficiency of this package.
This course is bundled with dozens of datasets for you to use and improve your skills. Dive right in and follow along with the lessons to see how easy it is to get started with Pandas!
By the end of this course, you will be able to gain deeper insights into your data that would be impractical in Excel but is now possible with Pandas.
All resources for this course are available at https://github.com/PacktPublishing/Data-Analysis-with-Pandas-and-Python
Perform a multitude of data operations in the Pandas library
Learn how to analyze, organize, sort, and more with Pandas
Learn hundreds of methods and attributes across numerous Pandas objects
Possess a strong understanding of manipulating 1D, 2D, and 3D datasets
Resolve common issues in broken or incomplete datasets
Learn basic Python with the Python crash course section
One needs basic knowledge of spreadsheet software, a basic understanding of data types and Python, and strong knowledge of spreadsheet software.